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WGW-2021

List of abstracts related to

82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Liu H; Li L; Wormstone IM; Qiao C; Zhang C; Liu P; Li S; Wang H; Mou D; Pang R; Yang D; Jiang L; Chen Y; Hu M; Xu Y; Kang H; Ji X; Chang R; Tham C; Cheung C; Ting DSW; Wong TY; Wang Z; Weinreb RN; Xu M; Wang N
JAMA ophthalmology 2019; 0:

Listed by Classification


6.8.2 Posterior segment (1051 abstracts found)


84506 Regional Patterns in Retinal Microvascular Network Geometry in Health and Disease
Popovic N
Scientific reports 2019; 9: 16340 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Jammal AA
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Zhou W
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


84897 Characteristics of diffuse retinal nerve fiber layer defects in red-free photographs as observed in optical coherence tomography en face images
Lim AB
BMC Ophthalmology 2020; 20: 16 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Li F
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
King BJ
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


85101 Diagnosis of Glaucoma on Retinal Fundus Images Using Deep Learning: Detection of Nerve Fiber Layer Defect and Optic Disc Analysis
Muramatsu C
Adv Exp Med Biol 2020; 1213: 121-132 (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Uchida A
Scientific reports 2020; 10: 779 (IGR: 21-1)


84554 Relationship between ocular risk factors for glaucoma and optic disc rim in normal eyes
Iwase A
British Journal of Ophthalmology 2019; 0: (IGR: 21-1)


84649 Localized Retinal Nerve Fiber Layer Defect Location Among Red-free Fundus Photographs, En Face Structural Images, and Cirrus HD-OCT Maps
Park JH
Journal of Glaucoma 2019; 28: 1054-1060 (IGR: 21-1)


85179 Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices
Martins J
Computer Methods and Programs in Biomedicine 2020; 192: 105341 (IGR: 21-1)


84649 Localized Retinal Nerve Fiber Layer Defect Location Among Red-free Fundus Photographs, En Face Structural Images, and Cirrus HD-OCT Maps
Yoo C
Journal of Glaucoma 2019; 28: 1054-1060 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Swanson WH
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


84554 Relationship between ocular risk factors for glaucoma and optic disc rim in normal eyes
Sawaguchi S
British Journal of Ophthalmology 2019; 0: (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Sasaki M
Scientific reports 2020; 10: 779 (IGR: 21-1)


84506 Regional Patterns in Retinal Microvascular Network Geometry in Health and Disease
Vujosevic S
Scientific reports 2019; 9: 16340 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Thompson AC
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85179 Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices
Cardoso JS
Computer Methods and Programs in Biomedicine 2020; 192: 105341 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Yi Y
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


84897 Characteristics of diffuse retinal nerve fiber layer defects in red-free photographs as observed in optical coherence tomography en face images
Park JH
BMC Ophthalmology 2020; 20: 16 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Yan L
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Mariottoni EB
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84897 Characteristics of diffuse retinal nerve fiber layer defects in red-free photographs as observed in optical coherence tomography en face images
Jung JH
BMC Ophthalmology 2020; 20: 16 (IGR: 21-1)


85179 Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices
Soares F
Computer Methods and Programs in Biomedicine 2020; 192: 105341 (IGR: 21-1)


84649 Localized Retinal Nerve Fiber Layer Defect Location Among Red-free Fundus Photographs, En Face Structural Images, and Cirrus HD-OCT Maps
Kim YY
Journal of Glaucoma 2019; 28: 1054-1060 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Klemencic SA
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Gao Y
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Motomura K
Scientific reports 2020; 10: 779 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Mariottoni EB
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84506 Regional Patterns in Retinal Microvascular Network Geometry in Health and Disease
Popovic T
Scientific reports 2019; 9: 16340 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Wang Y
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84554 Relationship between ocular risk factors for glaucoma and optic disc rim in normal eyes
Tanaka K
British Journal of Ophthalmology 2019; 0: (IGR: 21-1)


84897 Characteristics of diffuse retinal nerve fiber layer defects in red-free photographs as observed in optical coherence tomography en face images
Yoo C
BMC Ophthalmology 2020; 20: 16 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Shi J
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Chaglasian M
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Berchuck SI; Berchuck SI
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84554 Relationship between ocular risk factors for glaucoma and optic disc rim in normal eyes
Tsutsumi T
British Journal of Ophthalmology 2019; 0: (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Yuki K
Scientific reports 2020; 10: 779 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Dai J
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Chen H
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84554 Relationship between ocular risk factors for glaucoma and optic disc rim in normal eyes
Araie M
British Journal of Ophthalmology 2019; 0: (IGR: 21-1)


84897 Characteristics of diffuse retinal nerve fiber layer defects in red-free photographs as observed in optical coherence tomography en face images
Kim YY
BMC Ophthalmology 2020; 20: 16 (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Kurihara T
Scientific reports 2020; 10: 779 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Teitelbaum BA
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Urata CN
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Clark CA
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Estrela T
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Tomita Y
Scientific reports 2020; 10: 779 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Zhang X
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Estrela T
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Jiang M
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Ozawa Y
Scientific reports 2020; 10: 779 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Speilburg AM
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Wakil SM
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Wu Z
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Yamagishi K
Scientific reports 2020; 10: 779 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Grogg JA
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Costa VP; Medeiros FA
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85073 Assessing the Impact of En Face Retinal Nerve Fiber Layer Imaging on Clinical Decision Making for Glaucoma Suspects
Peabody TD
Optometry and Vision Science 2020; 97: 54-61 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Zhou K
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84993 Relationship between nerve fiber layer defect and the presence of epiretinal membrane in a Japanese population: The JPHC-NEXT Eye Study
Kawasaki R; Hanyuda A; Sawada N; Tsubota K; Tsugane S; Iso H
Scientific reports 2020; 10: 779 (IGR: 21-1)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82656 Localized Retinal Nerve Fiber Layer Defect Location among Red-free Fundus Photograph, En Face Structural Image, and Cirrus HD-OCT Maps
Park JH
Journal of Glaucoma 2019; 0: (IGR: 20-4)


82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Rong X
BMC Ophthalmology 2019; 19: 203 (IGR: 20-4)


82185 Location of Retinal Nerve Fiber Layer Defects in Open-angle Glaucoma and Associated Factors
Kim HU
Korean Journal of Ophthalmology 2019; 33: 379-385 (IGR: 20-4)


82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Hashemi H
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Hemelings R
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluation
Malerbi FK
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913 (IGR: 20-4)


81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under Anesthesia
Pujari A
Journal of Glaucoma 2019; 28: e143-e144 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Rogers TW
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Tong W
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Li L
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Chiquet C
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluation
Carneiro ABM
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Romero M
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under Anesthesia
Selvan H
Journal of Glaucoma 2019; 28: e143-e144 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Jaccard N
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Xu M
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82656 Localized Retinal Nerve Fiber Layer Defect Location among Red-free Fundus Photograph, En Face Structural Image, and Cirrus HD-OCT Maps
Yoo C
Journal of Glaucoma 2019; 0: (IGR: 20-4)


82185 Location of Retinal Nerve Fiber Layer Defects in Open-angle Glaucoma and Associated Factors
Na KI
Korean Journal of Ophthalmology 2019; 33: 379-385 (IGR: 20-4)


82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Cai Y
BMC Ophthalmology 2019; 19: 203 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fu H
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Elen B
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Gavard O
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Yekta A
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under Anesthesia
Goel S
Journal of Glaucoma 2019; 28: e143-e144 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Carbonaro F
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Liu H
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Barbosa Breda J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Li M
BMC Ophthalmology 2019; 19: 203 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Arnould L
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Lim V
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


82656 Localized Retinal Nerve Fiber Layer Defect Location among Red-free Fundus Photograph, En Face Structural Image, and Cirrus HD-OCT Maps
Kim YY
Journal of Glaucoma 2019; 0: (IGR: 20-4)


82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluation
Katz M
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913 (IGR: 20-4)


82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Heydarian S
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Barbosa-Breda J
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluation
Lottenberg CL
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Mautuit T
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under Anesthesia
Dada T
Journal of Glaucoma 2019; 28: e143-e144 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Lemij HG
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Li Y
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Van Keer K
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Lemmens S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Ostadimoghaddam H
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Fang Y
BMC Ophthalmology 2019; 19: 203 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Loon SC
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Wang X
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Aghamirsalim M
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Meire M
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Suwandono ME
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Tian T
BMC Ophthalmology 2019; 19: 203 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Bathula DR
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Macgillivray TJ
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Suwandono ME
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Vermeer KA
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Pan Y
BMC Ophthalmology 2019; 19: 203 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Reus NJ
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Jiang L
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Derakhshan A
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Pourjavan S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Diaz-Pinto A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Bron AM
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Shuang Y
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Diaz-Pinto A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Semecas R
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Di X
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Vandewalle E
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fang R
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Khabazkhoob M
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Trikha S
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Wang Z
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Kanagasingam Y
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Heng PA
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Trucco E
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Van de Veire S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Fan X
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Heng PA
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Florent A
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Koh V
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Blaschko MB
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Wang N
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Kim J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
De Boever P
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Lee J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Stalmans I
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Li X
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Liu P
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Lu S
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Murugesan B; Naranjo V; Naranjo V
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Phaye SSR
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Shankaranarayana SM; Sikka A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Son J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
van den Hengel A; Wang S
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Wu J; Wu Z
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Xu G
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Xu Y; Yin
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Al-Aswad LA
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81482 Retinal vessel segmentation using dense U-net with multiscale inputs
Yue K
Journal of medical imaging (Bellingham, Wash.) 2019; 6: 034004 (IGR: 20-3)


80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Basu T
Indian Journal of Ophthalmology 2019; 67: 412-414 (IGR: 20-3)


81341 Clinical validation of , an automated optic nerve head analysis software
Singh D
Indian Journal of Ophthalmology 2019; 67: 1089-1094 (IGR: 20-3)


81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Daneshvar R
American Journal of Ophthalmology 2019; 208: 19-29 (IGR: 20-3)


81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
Scheetz J
The Journal of continuing education in the health professions 2019; 39: 161-167 (IGR: 20-3)


80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Pujari A
Journal of Glaucoma 2019; 28: e109-e111 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Kapoor R
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Yarmohammadi A
American Journal of Ophthalmology 2019; 208: 19-29 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Kapoor R
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
Koklanis K
The Journal of continuing education in the health professions 2019; 39: 161-167 (IGR: 20-3)


81482 Retinal vessel segmentation using dense U-net with multiscale inputs
Zou B
Journal of medical imaging (Bellingham, Wash.) 2019; 6: 034004 (IGR: 20-3)


80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Selvan H
Journal of Glaucoma 2019; 28: e109-e111 (IGR: 20-3)


80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Garg B
Indian Journal of Ophthalmology 2019; 67: 412-414 (IGR: 20-3)


81341 Clinical validation of , an automated optic nerve head analysis software
Gunasekaran S; Hada M
Indian Journal of Ophthalmology 2019; 67: 1089-1094 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Chu CK
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Goel S
Journal of Glaucoma 2019; 28: e109-e111 (IGR: 20-3)


81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
McGuinness M
The Journal of continuing education in the health professions 2019; 39: 161-167 (IGR: 20-3)


81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Alizadeh R
American Journal of Ophthalmology 2019; 208: 19-29 (IGR: 20-3)


81482 Retinal vessel segmentation using dense U-net with multiscale inputs
Chen Z
Journal of medical imaging (Bellingham, Wash.) 2019; 6: 034004 (IGR: 20-3)


80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Mishra S
Indian Journal of Ophthalmology 2019; 67: 412-414 (IGR: 20-3)


81482 Retinal vessel segmentation using dense U-net with multiscale inputs
Liu Q
Journal of medical imaging (Bellingham, Wash.) 2019; 6: 034004 (IGR: 20-3)


80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Goel S
Indian Journal of Ophthalmology 2019; 67: 412-414 (IGR: 20-3)


81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
Long M
The Journal of continuing education in the health professions 2019; 39: 161-167 (IGR: 20-3)


80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Ayyadurai N
Journal of Glaucoma 2019; 28: e109-e111 (IGR: 20-3)


81341 Clinical validation of , an automated optic nerve head analysis software
Gogia V
Indian Journal of Ophthalmology 2019; 67: 1089-1094 (IGR: 20-3)


81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Henry S
American Journal of Ophthalmology 2019; 208: 19-29 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Walters S
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
Morris ME
The Journal of continuing education in the health professions 2019; 39: 161-167 (IGR: 20-3)


81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Law SK
American Journal of Ophthalmology 2019; 208: 19-29 (IGR: 20-3)


80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Roy R
Indian Journal of Ophthalmology 2019; 67: 412-414 (IGR: 20-3)


80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Dada T
Journal of Glaucoma 2019; 28: e109-e111 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Gong D
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Caprioli J
American Journal of Ophthalmology 2019; 208: 19-29 (IGR: 20-3)


80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Saurabh K
Indian Journal of Ophthalmology 2019; 67: 412-414 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Garg A
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Nouri-Mahdavi K
American Journal of Ophthalmology 2019; 208: 19-29 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Gopal K; Gopal K; Patel V; Sameer T; Rogers TW; Nicolas J; De Moraes CG; Moazami G
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Lee J
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


79662 Nonmydriatic Fundus Photography in Patients with Acute Vision Loss
Vasseneix C
Telemedicine Journal and E-Health: the Official Journal of the American Telemedicine Association 2019; 25: 911-916 (IGR: 20-2)


79930 Agreement study between color and IR retinal images based on retinal vasculature morphological parameters
Ajaz A
BMC Ophthalmology 2019; 19: 27 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Christopher M
Scientific reports 2018; 8: 16685 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Addis V
Eye 2019; 33: 838-844 (IGR: 20-2)


79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Maheshwari S
Computers in Biology and Medicine 2019; 105: 72-80 (IGR: 20-2)


79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Thompson AC
American Journal of Ophthalmology 2019; 201: 9-18 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
MacCormick IJC
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


79704 Artificial intelligence in glaucoma
Zheng C
Current Opinions in Ophthalmology 2019; 30: 97-103 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Sakata R
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Ahn JM; Kim S
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)


79930 Agreement study between color and IR retinal images based on retinal vasculature morphological parameters
Aliahmad B
BMC Ophthalmology 2019; 19: 27 (IGR: 20-2)


79704 Artificial intelligence in glaucoma
Johnson TV
Current Opinions in Ophthalmology 2019; 30: 97-103 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Yoshitomi T
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Jammal AA
American Journal of Ophthalmology 2019; 201: 9-18 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Williams BM
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Kim Y
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


79662 Nonmydriatic Fundus Photography in Patients with Acute Vision Loss
Bruce BB
Telemedicine Journal and E-Health: the Official Journal of the American Telemedicine Association 2019; 25: 911-916 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Belghith A
Scientific reports 2018; 8: 16685 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Oyeniran E
Eye 2019; 33: 838-844 (IGR: 20-2)


79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Kanhangad V
Computers in Biology and Medicine 2019; 105: 72-80 (IGR: 20-2)


79704 Artificial intelligence in glaucoma
Garg A
Current Opinions in Ophthalmology 2019; 30: 97-103 (IGR: 20-2)


79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Pachori RB
Computers in Biology and Medicine 2019; 105: 72-80 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Bowd C
Scientific reports 2018; 8: 16685 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Ahn KS
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Iwase A
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Kim JH
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Zheng Y
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


79662 Nonmydriatic Fundus Photography in Patients with Acute Vision Loss
Bidot S
Telemedicine Journal and E-Health: the Official Journal of the American Telemedicine Association 2019; 25: 911-916 (IGR: 20-2)


79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Medeiros FA
American Journal of Ophthalmology 2019; 201: 9-18 (IGR: 20-2)


79930 Agreement study between color and IR retinal images based on retinal vasculature morphological parameters
Kumar H
BMC Ophthalmology 2019; 19: 27 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Daniel E
Eye 2019; 33: 838-844 (IGR: 20-2)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Park KH
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Proudfoot JA
Scientific reports 2018; 8: 16685 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Salowe R
Eye 2019; 33: 838-844 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Li K
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


79662 Nonmydriatic Fundus Photography in Patients with Acute Vision Loss
Newman NJ
Telemedicine Journal and E-Health: the Official Journal of the American Telemedicine Association 2019; 25: 911-916 (IGR: 20-2)


79704 Artificial intelligence in glaucoma
Boland MV
Current Opinions in Ophthalmology 2019; 30: 97-103 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Cho SH
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Matsumoto C
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


79930 Agreement study between color and IR retinal images based on retinal vasculature morphological parameters
Sarossy M
BMC Ophthalmology 2019; 19: 27 (IGR: 20-2)


79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Bhandary SV
Computers in Biology and Medicine 2019; 105: 72-80 (IGR: 20-2)


79662 Nonmydriatic Fundus Photography in Patients with Acute Vision Loss
Biousse V
Telemedicine Journal and E-Health: the Official Journal of the American Telemedicine Association 2019; 25: 911-916 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Lee KB
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Goldbaum MH
Scientific reports 2018; 8: 16685 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Zorger R
Eye 2019; 33: 838-844 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Al-Bander B
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Higashide T
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


79930 Agreement study between color and IR retinal images based on retinal vasculature morphological parameters
Kumar DK
BMC Ophthalmology 2019; 19: 27 (IGR: 20-2)


79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Acharya UR
Computers in Biology and Medicine 2019; 105: 72-80 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Lee R
Eye 2019; 33: 838-844 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Weinreb RN
Scientific reports 2018; 8: 16685 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Kim US
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Czanner S
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Shirakashi M; Aihara M
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Girkin CA
Scientific reports 2018; 8: 16685 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Pistilli M
Eye 2019; 33: 838-844 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Cheeseman R
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Sugiyama K
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Maguire M
Eye 2019; 33: 838-844 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Willoughby CE
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Liebmann JM
Scientific reports 2018; 8: 16685 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Brown EN
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure
Araie M
Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Zangwill LM
Scientific reports 2018; 8: 16685 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Cui Q
Eye 2019; 33: 838-844 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Spaeth GL
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


80071 Factors Associated with Progression of Japanese Open-Angle Glaucoma with Lower Normal Intraocular Pressure

Ophthalmology 2019; 126: 1107-1116 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
Miller-Ellis E
Eye 2019; 33: 838-844 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Czanner G
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


80006 Non-physician grader reliability in measuring morphological features of the optic nerve head in stereo digital images
O'Brien JM; Sankar PS
Eye 2019; 33: 838-844 (IGR: 20-2)


79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Shibata N
Scientific reports 2018; 8: 14665 (IGR: 20-1)


78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Basu T
Indian Journal of Ophthalmology 2018; 66: 1345-1349 (IGR: 20-1)


78779 Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
Septiarini A
Healthcare informatics research 2018; 24: 335-345 (IGR: 20-1)


78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Panda R
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Hark LA
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Yang C
Biomedical engineering online 2018; 17: 130 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Daga FB
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Yoshikawa T
British Journal of Ophthalmology 2019; 103: 1119-1122 (IGR: 20-1)


78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Puhan NB
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003 (IGR: 20-1)


78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Lu M
Biomedical engineering online 2018; 17: 130 (IGR: 20-1)


79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Obayashi K
British Journal of Ophthalmology 2019; 103: 1119-1122 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Myers JS
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Tanito M
Scientific reports 2018; 8: 14665 (IGR: 20-1)


78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Shah D
Indian Journal of Ophthalmology 2018; 66: 1345-1349 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Ogata NG
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


78779 Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
Harjoko A
Healthcare informatics research 2018; 24: 335-345 (IGR: 20-1)


79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Miyata K
British Journal of Ophthalmology 2019; 103: 1119-1122 (IGR: 20-1)


78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Rao A
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003 (IGR: 20-1)


79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Mitsuhashi K
Scientific reports 2018; 8: 14665 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Rahmatnejad K
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Duan Y
Biomedical engineering online 2018; 17: 130 (IGR: 20-1)


78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Das D
Indian Journal of Ophthalmology 2018; 66: 1345-1349 (IGR: 20-1)


78779 Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
Pulungan R
Healthcare informatics research 2018; 24: 335-345 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Medeiros FA
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Liu B
Biomedical engineering online 2018; 17: 130 (IGR: 20-1)


78779 Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
Ekantini R
Healthcare informatics research 2018; 24: 335-345 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Moran R
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Ueda T
British Journal of Ophthalmology 2019; 103: 1119-1122 (IGR: 20-1)


78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Saurabh K
Indian Journal of Ophthalmology 2018; 66: 1345-1349 (IGR: 20-1)


78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Mandal B
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003 (IGR: 20-1)


79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Fujino Y
Scientific reports 2018; 8: 14665 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Wang Q
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Roy R
Indian Journal of Ophthalmology 2018; 66: 1345-1349 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Morris J
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Kurumatani N
British Journal of Ophthalmology 2019; 103: 1119-1122 (IGR: 20-1)


79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Matsuura M
Scientific reports 2018; 8: 14665 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Zhan T
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Padhy D
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003 (IGR: 20-1)


79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Murata H
Scientific reports 2018; 8: 14665 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Hegarty SE
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Zangwill LM
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Panda G
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003 (IGR: 20-1)


79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Saeki K
British Journal of Ophthalmology 2019; 103: 1119-1122 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Leiby BE
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Weinreb RN
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Ogata N
British Journal of Ophthalmology 2019; 103: 1119-1122 (IGR: 20-1)


79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Asaoka R
Scientific reports 2018; 8: 14665 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Udyaver S
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Nolan JM
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Waisbourd M; Leite S; Henderer JD; Pasquale LR; Lee PP; Haller JA; Katz LJ
Journal of Glaucoma 2018; 27: 999-1008 (IGR: 20-1)


78133 Validation of formula-predicted glaucomatous optic disc appearances: the Glaucoma Stereo Analysis Study
Tanito M
Acta Ophthalmologica 2018; 0: (IGR: 19-4)


78075 Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
Wintergerst MWM
Scientific reports 2018; 8: 10228 (IGR: 19-4)


78037 Long-term follow-up of retinal nerve fiber layer cleavages in glaucoma patients and suspects
Hsia Y
Graefe's Archive for Clinical and Experimental Ophthalmology 2018; 256: 1945-1952 (IGR: 19-4)


78133 Validation of formula-predicted glaucomatous optic disc appearances: the Glaucoma Stereo Analysis Study
Nitta K
Acta Ophthalmologica 2018; 0: (IGR: 19-4)


78037 Long-term follow-up of retinal nerve fiber layer cleavages in glaucoma patients and suspects
Su CC
Graefe's Archive for Clinical and Experimental Ophthalmology 2018; 256: 1945-1952 (IGR: 19-4)


78075 Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
Brinkmann CK; Holz FG
Scientific reports 2018; 8: 10228 (IGR: 19-4)


78037 Long-term follow-up of retinal nerve fiber layer cleavages in glaucoma patients and suspects
Wang TH
Graefe's Archive for Clinical and Experimental Ophthalmology 2018; 256: 1945-1952 (IGR: 19-4)


78133 Validation of formula-predicted glaucomatous optic disc appearances: the Glaucoma Stereo Analysis Study
Katai M
Acta Ophthalmologica 2018; 0: (IGR: 19-4)


78075 Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
Finger RP
Scientific reports 2018; 8: 10228 (IGR: 19-4)


78133 Validation of formula-predicted glaucomatous optic disc appearances: the Glaucoma Stereo Analysis Study
Kitaoka Y
Acta Ophthalmologica 2018; 0: (IGR: 19-4)


78037 Long-term follow-up of retinal nerve fiber layer cleavages in glaucoma patients and suspects
Yang CM
Graefe's Archive for Clinical and Experimental Ophthalmology 2018; 256: 1945-1952 (IGR: 19-4)


78133 Validation of formula-predicted glaucomatous optic disc appearances: the Glaucoma Stereo Analysis Study
Yokoyama Y
Acta Ophthalmologica 2018; 0: (IGR: 19-4)


78037 Long-term follow-up of retinal nerve fiber layer cleavages in glaucoma patients and suspects
Huang JY
Graefe's Archive for Clinical and Experimental Ophthalmology 2018; 256: 1945-1952 (IGR: 19-4)


78133 Validation of formula-predicted glaucomatous optic disc appearances: the Glaucoma Stereo Analysis Study
Omodaka K; Naito T; Yamashita T; Mizoue S; Iwase A; Nakazawa T
Acta Ophthalmologica 2018; 0: (IGR: 19-4)


77079 Glaucoma Specialist Optic Disc Margin, Rim Margin and Rim Width Discordance in Glaucoma and Glaucoma Suspect Eyes
Hong SW
American Journal of Ophthalmology 2018; 192: 65-76 (IGR: 19-3)


77233 Variability of vertical cup to disc ratio measurement and the effects of glaucoma 5-year risk estimation in untreated ocular hypertensive eyes
Chan PPM; Chiu VSM
British Journal of Ophthalmology 2019; 103: 361-368 (IGR: 19-3)


77079 Glaucoma Specialist Optic Disc Margin, Rim Margin and Rim Width Discordance in Glaucoma and Glaucoma Suspect Eyes
Koenigsman H
American Journal of Ophthalmology 2018; 192: 65-76 (IGR: 19-3)


77233 Variability of vertical cup to disc ratio measurement and the effects of glaucoma 5-year risk estimation in untreated ocular hypertensive eyes
Wong MOI
British Journal of Ophthalmology 2019; 103: 361-368 (IGR: 19-3)


77079 Glaucoma Specialist Optic Disc Margin, Rim Margin and Rim Width Discordance in Glaucoma and Glaucoma Suspect Eyes
Ren R; Yang H; Gardiner SK; Reynaud J; Kinast RM; Mansberger SL; Fortune B; Demirel S; Burgoyne CF
American Journal of Ophthalmology 2018; 192: 65-76 (IGR: 19-3)


75380 Optic disc segmentation for glaucoma screening system using fundus images
Almazroa A
Clinical Ophthalmology 2017; 11: 2017-2029 (IGR: 19-2)


75611 Evolution of optic nerve photography for glaucoma screening: a review
Myers JS
Clinical and Experimental Ophthalmology 2018; 46: 169-176 (IGR: 19-2)


75698 Fundus Densitometry Findings Suggest Optic Disc Hemorrhages in Primary Open-Angle Glaucoma Have an Arterial Origin
Chou JC
American Journal of Ophthalmology 2018; 187: 108-116 (IGR: 19-2)


76017 A Small Disc Area Is a Risk Factor for Visual Field Loss Progression in Primary Open-Angle Glaucoma: The Glaucoma Stereo Analysis Study
Kitaoka Y; Tanito M
Journal of Ophthalmology 2018; 2018: 8941489 (IGR: 19-2)


75380 Optic disc segmentation for glaucoma screening system using fundus images
Sun W
Clinical Ophthalmology 2017; 11: 2017-2029 (IGR: 19-2)


75611 Evolution of optic nerve photography for glaucoma screening: a review
Fudemberg SJ
Clinical and Experimental Ophthalmology 2018; 46: 169-176 (IGR: 19-2)


75698 Fundus Densitometry Findings Suggest Optic Disc Hemorrhages in Primary Open-Angle Glaucoma Have an Arterial Origin
Cousins CC
American Journal of Ophthalmology 2018; 187: 108-116 (IGR: 19-2)


76017 A Small Disc Area Is a Risk Factor for Visual Field Loss Progression in Primary Open-Angle Glaucoma: The Glaucoma Stereo Analysis Study
Yokoyama Y
Journal of Ophthalmology 2018; 2018: 8941489 (IGR: 19-2)


75698 Fundus Densitometry Findings Suggest Optic Disc Hemorrhages in Primary Open-Angle Glaucoma Have an Arterial Origin
Miller JB
American Journal of Ophthalmology 2018; 187: 108-116 (IGR: 19-2)


75611 Evolution of optic nerve photography for glaucoma screening: a review
Lee D
Clinical and Experimental Ophthalmology 2018; 46: 169-176 (IGR: 19-2)


75380 Optic disc segmentation for glaucoma screening system using fundus images
Alodhayb S; Raahemifar K
Clinical Ophthalmology 2017; 11: 2017-2029 (IGR: 19-2)


75698 Fundus Densitometry Findings Suggest Optic Disc Hemorrhages in Primary Open-Angle Glaucoma Have an Arterial Origin
Song BJ
American Journal of Ophthalmology 2018; 187: 108-116 (IGR: 19-2)


76017 A Small Disc Area Is a Risk Factor for Visual Field Loss Progression in Primary Open-Angle Glaucoma: The Glaucoma Stereo Analysis Study
Nitta K
Journal of Ophthalmology 2018; 2018: 8941489 (IGR: 19-2)


75380 Optic disc segmentation for glaucoma screening system using fundus images
Lakshminarayanan V
Clinical Ophthalmology 2017; 11: 2017-2029 (IGR: 19-2)


76017 A Small Disc Area Is a Risk Factor for Visual Field Loss Progression in Primary Open-Angle Glaucoma: The Glaucoma Stereo Analysis Study
Katai M
Journal of Ophthalmology 2018; 2018: 8941489 (IGR: 19-2)


75698 Fundus Densitometry Findings Suggest Optic Disc Hemorrhages in Primary Open-Angle Glaucoma Have an Arterial Origin
Shen LQ; Kass MA
American Journal of Ophthalmology 2018; 187: 108-116 (IGR: 19-2)


76017 A Small Disc Area Is a Risk Factor for Visual Field Loss Progression in Primary Open-Angle Glaucoma: The Glaucoma Stereo Analysis Study
Omodaka K; Nakazawa T
Journal of Ophthalmology 2018; 2018: 8941489 (IGR: 19-2)


75698 Fundus Densitometry Findings Suggest Optic Disc Hemorrhages in Primary Open-Angle Glaucoma Have an Arterial Origin
Wiggs JL; Pasquale LR
American Journal of Ophthalmology 2018; 187: 108-116 (IGR: 19-2)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Sandhu S
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Zhang Q
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74401 Can ultra-wide field retinal imaging replace colour digital stereoscopy for glaucoma detection?
Quinn NB
Ophthalmic Epidemiology 2018; 25: 63-69 (IGR: 19-1)


74722 Computer-aided diagnosis based on enhancement of degraded fundus photographs
Jin K
Acta Ophthalmologica 2018; 96: e320-e326 (IGR: 19-1)


74486 Differences in Optical Coherence Tomography Assessment of Bruch Membrane Opening Compared to Stereoscopic Photography for Estimating Cup-to-Disc Ratio
Mwanza JC
American Journal of Ophthalmology 2017; 184: 34-41 (IGR: 19-1)


74720 Optic Disc Image Subtraction as an Aid to Detect Glaucoma Progression
Amini N
Translational vision science & technology 2017; 6: 14 (IGR: 19-1)


74669 Blood Vessel Extraction in Color Retinal Fundus Images with Enhancement Filtering and Unsupervised Classification
Yavuz Z
Journal of healthcare engineering 2017; 2017: 4897258 (IGR: 19-1)


74073 Morphology of the optic disc in the Tajimi Study population
Mataki N
Japanese Journal of Ophthalmology 2017; 61: 441-447 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Schaefer JL
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74823 Comparison of linear measurements of optic cup-to-disk ratio obtained with RTVue OCT and digital retinography
Ribeiro V
Arquivos Brasileiros de Oftalmologia 2017; 80: 386-389 (IGR: 19-1)


74398 Correlation of echographic and photographic assessment of optic nerve head cupping in children
Sayed MS
Journal of AAPOS 2017; 21: 389-392 (IGR: 19-1)


74823 Comparison of linear measurements of optic cup-to-disk ratio obtained with RTVue OCT and digital retinography
Ribeiro CF
Arquivos Brasileiros de Oftalmologia 2017; 80: 386-389 (IGR: 19-1)


74486 Differences in Optical Coherence Tomography Assessment of Bruch Membrane Opening Compared to Stereoscopic Photography for Estimating Cup-to-Disc Ratio
Huang LY
American Journal of Ophthalmology 2017; 184: 34-41 (IGR: 19-1)


74720 Optic Disc Image Subtraction as an Aid to Detect Glaucoma Progression
Alizadeh R
Translational vision science & technology 2017; 6: 14 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Jan C
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74401 Can ultra-wide field retinal imaging replace colour digital stereoscopy for glaucoma detection?
Azuara-Blanco A
Ophthalmic Epidemiology 2018; 25: 63-69 (IGR: 19-1)


74398 Correlation of echographic and photographic assessment of optic nerve head cupping in children
Dale EA
Journal of AAPOS 2017; 21: 389-392 (IGR: 19-1)


74722 Computer-aided diagnosis based on enhancement of degraded fundus photographs
Zhou M
Acta Ophthalmologica 2018; 96: e320-e326 (IGR: 19-1)


74073 Morphology of the optic disc in the Tajimi Study population
Tomidokoro A
Japanese Journal of Ophthalmology 2017; 61: 441-447 (IGR: 19-1)


74669 Blood Vessel Extraction in Color Retinal Fundus Images with Enhancement Filtering and Unsupervised Classification
Köse C
Journal of healthcare engineering 2017; 2017: 4897258 (IGR: 19-1)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Rudnisky C
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Meyer AM
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74722 Computer-aided diagnosis based on enhancement of degraded fundus photographs
Wang S
Acta Ophthalmologica 2018; 96: e320-e326 (IGR: 19-1)


74073 Morphology of the optic disc in the Tajimi Study population
Araie M
Japanese Journal of Ophthalmology 2017; 61: 441-447 (IGR: 19-1)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Arora S
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74823 Comparison of linear measurements of optic cup-to-disk ratio obtained with RTVue OCT and digital retinography
Ávila MP
Arquivos Brasileiros de Oftalmologia 2017; 80: 386-389 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Rodgers CD
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74398 Correlation of echographic and photographic assessment of optic nerve head cupping in children
Osigian CJ
Journal of AAPOS 2017; 21: 389-392 (IGR: 19-1)


74486 Differences in Optical Coherence Tomography Assessment of Bruch Membrane Opening Compared to Stereoscopic Photography for Estimating Cup-to-Disc Ratio
Budenz DL
American Journal of Ophthalmology 2017; 184: 34-41 (IGR: 19-1)


74401 Can ultra-wide field retinal imaging replace colour digital stereoscopy for glaucoma detection?
Graham K
Ophthalmic Epidemiology 2018; 25: 63-69 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Guo CY
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74720 Optic Disc Image Subtraction as an Aid to Detect Glaucoma Progression
Parivisutt N
Translational vision science & technology 2017; 6: 14 (IGR: 19-1)


74486 Differences in Optical Coherence Tomography Assessment of Bruch Membrane Opening Compared to Stereoscopic Photography for Estimating Cup-to-Disc Ratio
Shi W
American Journal of Ophthalmology 2017; 184: 34-41 (IGR: 19-1)


74398 Correlation of echographic and photographic assessment of optic nerve head cupping in children
Cavuoto KM
Journal of AAPOS 2017; 21: 389-392 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Rosenberg NC
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74073 Morphology of the optic disc in the Tajimi Study population
Iwase A
Japanese Journal of Ophthalmology 2017; 61: 441-447 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Wang FH
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74823 Comparison of linear measurements of optic cup-to-disk ratio obtained with RTVue OCT and digital retinography
Magacho L
Arquivos Brasileiros de Oftalmologia 2017; 80: 386-389 (IGR: 19-1)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Kassam F
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74720 Optic Disc Image Subtraction as an Aid to Detect Glaucoma Progression
Kim E
Translational vision science & technology 2017; 6: 14 (IGR: 19-1)


74722 Computer-aided diagnosis based on enhancement of degraded fundus photographs
Lou L
Acta Ophthalmologica 2018; 96: e320-e326 (IGR: 19-1)


74401 Can ultra-wide field retinal imaging replace colour digital stereoscopy for glaucoma detection?
Hogg RE
Ophthalmic Epidemiology 2018; 25: 63-69 (IGR: 19-1)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Douglas G
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74720 Optic Disc Image Subtraction as an Aid to Detect Glaucoma Progression
Nouri-Mahdavi K
Translational vision science & technology 2017; 6: 14 (IGR: 19-1)


74722 Computer-aided diagnosis based on enhancement of degraded fundus photographs
Xu Y
Acta Ophthalmologica 2018; 96: e320-e326 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Leoncavallo AJ
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74398 Correlation of echographic and photographic assessment of optic nerve head cupping in children
Shi W
Journal of AAPOS 2017; 21: 389-392 (IGR: 19-1)


74486 Differences in Optical Coherence Tomography Assessment of Bruch Membrane Opening Compared to Stereoscopic Photography for Estimating Cup-to-Disc Ratio
Huang G
American Journal of Ophthalmology 2017; 184: 34-41 (IGR: 19-1)


74401 Can ultra-wide field retinal imaging replace colour digital stereoscopy for glaucoma detection?
Young IS
Ophthalmic Epidemiology 2018; 25: 63-69 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Liang YB
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74720 Optic Disc Image Subtraction as an Aid to Detect Glaucoma Progression
Caprioli J
Translational vision science & technology 2017; 6: 14 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Lukowski ZL
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74486 Differences in Optical Coherence Tomography Assessment of Bruch Membrane Opening Compared to Stereoscopic Photography for Estimating Cup-to-Disc Ratio
Lee RK
American Journal of Ophthalmology 2017; 184: 34-41 (IGR: 19-1)


74401 Can ultra-wide field retinal imaging replace colour digital stereoscopy for glaucoma detection?
Kee F
Ophthalmic Epidemiology 2018; 25: 63-69 (IGR: 19-1)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Edwards MC
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Cao K
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74722 Computer-aided diagnosis based on enhancement of degraded fundus photographs
Ye J
Acta Ophthalmologica 2018; 96: e320-e326 (IGR: 19-1)


74398 Correlation of echographic and photographic assessment of optic nerve head cupping in children
Chang TC
Journal of AAPOS 2017; 21: 389-392 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Zhang Z
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Verstraten K
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74722 Computer-aided diagnosis based on enhancement of degraded fundus photographs
Qian D
Acta Ophthalmologica 2018; 96: e320-e326 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Greer AB
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Yang DY
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Martorana GM
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74218 Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Wong B; Damji KF
British Journal of Ophthalmology 2018; 102: 364-368 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Zou B
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma
Thomas R; Wang NL
Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Shuster JJ
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


74274 Association of intraocular pressure-related factors and retinal vessel diameter with optic disc rim area in subjects with and without primary open angle glaucoma

Clinical and Experimental Ophthalmology 2018; 46: 389-399 (IGR: 19-1)


74167 Comparing glaucomatous disc change using stereo disc viewing and the MatchedFlicker programme in glaucoma experts and trainees
Jay Katz L; Schuman JS; Kass MA; Sherwood MB
British Journal of Ophthalmology 2018; 102: 358-363 (IGR: 19-1)


72647 Correlation between Visual Field Index and Other Functional and Structural Measures in Glaucoma Patients and Suspects
Iutaka NA
Journal of ophthalmic & vision research 2017; 12: 53-57 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Koh JEW
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Mwanza JC
Eye 2017; 31: 1184-1190 (IGR: 18-4)


72696 The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans
Alhadeff PA
Journal of Glaucoma 2017; 26: 498-504 (IGR: 18-4)


73341 Comparisons of retinal vessel diameter and glaucomatous parameters between both eyes of subjects with clinically unilateral pseudoexfoliation syndrome
Takai Y
PLoS ONE 2017; 12: e0179663 (IGR: 18-4)


72681 Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma
Wang X
Journal of Glaucoma 2017; 26: 505-510 (IGR: 18-4)


73004 Blood vessel segmentation in color fundus images based on regional and Hessian features
Shah SAA
Graefe's Archive for Clinical and Experimental Ophthalmology 2017; 255: 1525-1533 (IGR: 18-4)


73341 Comparisons of retinal vessel diameter and glaucomatous parameters between both eyes of subjects with clinically unilateral pseudoexfoliation syndrome
Tanito M
PLoS ONE 2017; 12: e0179663 (IGR: 18-4)


72647 Correlation between Visual Field Index and Other Functional and Structural Measures in Glaucoma Patients and Suspects
Grochowski RA
Journal of ophthalmic & vision research 2017; 12: 53-57 (IGR: 18-4)


72681 Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma
Mudie LI
Journal of Glaucoma 2017; 26: 505-510 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Grover DS
Eye 2017; 31: 1184-1190 (IGR: 18-4)


73004 Blood vessel segmentation in color fundus images based on regional and Hessian features
Tang TB
Graefe's Archive for Clinical and Experimental Ophthalmology 2017; 255: 1525-1533 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Acharya UR
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72696 The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans
De Moraes CG
Journal of Glaucoma 2017; 26: 498-504 (IGR: 18-4)


73004 Blood vessel segmentation in color fundus images based on regional and Hessian features
Faye I
Graefe's Archive for Clinical and Experimental Ophthalmology 2017; 255: 1525-1533 (IGR: 18-4)


72681 Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma
Baskaran M
Journal of Glaucoma 2017; 26: 505-510 (IGR: 18-4)


72696 The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans
Chen M
Journal of Glaucoma 2017; 26: 498-504 (IGR: 18-4)


72647 Correlation between Visual Field Index and Other Functional and Structural Measures in Glaucoma Patients and Suspects
Kasahara N
Journal of ophthalmic & vision research 2017; 12: 53-57 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Budenz DL
Eye 2017; 31: 1184-1190 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Hagiwara Y
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


73341 Comparisons of retinal vessel diameter and glaucomatous parameters between both eyes of subjects with clinically unilateral pseudoexfoliation syndrome
Omura T
PLoS ONE 2017; 12: e0179663 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Raghavendra U
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


73004 Blood vessel segmentation in color fundus images based on regional and Hessian features
Laude A
Graefe's Archive for Clinical and Experimental Ophthalmology 2017; 255: 1525-1533 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Herndon LW
Eye 2017; 31: 1184-1190 (IGR: 18-4)


73341 Comparisons of retinal vessel diameter and glaucomatous parameters between both eyes of subjects with clinically unilateral pseudoexfoliation syndrome
Kawasaki R
PLoS ONE 2017; 12: e0179663 (IGR: 18-4)


72696 The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans
Raza AS
Journal of Glaucoma 2017; 26: 498-504 (IGR: 18-4)


72681 Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma
Cheng CY
Journal of Glaucoma 2017; 26: 505-510 (IGR: 18-4)


73341 Comparisons of retinal vessel diameter and glaucomatous parameters between both eyes of subjects with clinically unilateral pseudoexfoliation syndrome
Kawasaki Y
PLoS ONE 2017; 12: e0179663 (IGR: 18-4)


72696 The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans
Ritch R
Journal of Glaucoma 2017; 26: 498-504 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Tan JH
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Nolan W
Eye 2017; 31: 1184-1190 (IGR: 18-4)


72681 Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma
Alward WL; Friedman DS
Journal of Glaucoma 2017; 26: 505-510 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Sree SV
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Whiteside-De Vos J
Eye 2017; 31: 1184-1190 (IGR: 18-4)


72696 The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans
Hood DC
Journal of Glaucoma 2017; 26: 498-504 (IGR: 18-4)


73341 Comparisons of retinal vessel diameter and glaucomatous parameters between both eyes of subjects with clinically unilateral pseudoexfoliation syndrome
Ohira A
PLoS ONE 2017; 12: e0179663 (IGR: 18-4)


72681 Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma
Brady CJ
Journal of Glaucoma 2017; 26: 505-510 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Bhandary SV
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Hay-Smith G; Bandi JR
Eye 2017; 31: 1184-1190 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Rao AK; Sivaprasad S
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Bhansali KA; Forbes LA
Eye 2017; 31: 1184-1190 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Chua KC
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Feuer WJ
Eye 2017; 31: 1184-1190 (IGR: 18-4)


72733 Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Laude A; Tong L
Computers in Biology and Medicine 2017; 84: 89-97 (IGR: 18-4)


72805 A comparison of cup-to-disc ratio estimates by fundus biomicroscopy and stereoscopic optic disc photography in the Tema Eye Survey
Barton K
Eye 2017; 31: 1184-1190 (IGR: 18-4)


71118 Inferior Macular Damage in Glaucoma: Its Relationship to Retinal Nerve Fiber Layer Defect in Macular Vulnerability Zone
Kim YK
Journal of Glaucoma 2017; 26: 126-132 (IGR: 18-3)


71353 Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in Primary Care: Validation for screening in populations with open-angle glaucoma risk factors
Sánchez González S
Atencion Primaria 2017; 49: 399-406 (IGR: 18-3)


71567 HIDDEN INFORMATION IN COLOR FUNDUS PHOTOGRAPHS IS REVEALED BY THE DECORRELATION STRETCHING METHOD
Uji A
Retinal cases & brief reports 2019; 13: 176-180 (IGR: 18-3)


71301 Relationship between Plasma Homocysteine Level and Glaucomatous Retinal Nerve Fiber Layer Defect
Lee JY
Current Eye Research 2017; 0: 1-6 (IGR: 18-3)


71567 HIDDEN INFORMATION IN COLOR FUNDUS PHOTOGRAPHS IS REVEALED BY THE DECORRELATION STRETCHING METHOD
Muraoka Y
Retinal cases & brief reports 2019; 13: 176-180 (IGR: 18-3)


71353 Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in Primary Care: Validation for screening in populations with open-angle glaucoma risk factors
Calvo Lozano J
Atencion Primaria 2017; 49: 399-406 (IGR: 18-3)


71301 Relationship between Plasma Homocysteine Level and Glaucomatous Retinal Nerve Fiber Layer Defect
Kim JM
Current Eye Research 2017; 0: 1-6 (IGR: 18-3)


71118 Inferior Macular Damage in Glaucoma: Its Relationship to Retinal Nerve Fiber Layer Defect in Macular Vulnerability Zone
Jeoung JW
Journal of Glaucoma 2017; 26: 126-132 (IGR: 18-3)


71353 Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in Primary Care: Validation for screening in populations with open-angle glaucoma risk factors
Sánchez González J
Atencion Primaria 2017; 49: 399-406 (IGR: 18-3)


71301 Relationship between Plasma Homocysteine Level and Glaucomatous Retinal Nerve Fiber Layer Defect
Kim IT
Current Eye Research 2017; 0: 1-6 (IGR: 18-3)


71567 HIDDEN INFORMATION IN COLOR FUNDUS PHOTOGRAPHS IS REVEALED BY THE DECORRELATION STRETCHING METHOD
Yoshimura N
Retinal cases & brief reports 2019; 13: 176-180 (IGR: 18-3)


71118 Inferior Macular Damage in Glaucoma: Its Relationship to Retinal Nerve Fiber Layer Defect in Macular Vulnerability Zone
Park KH
Journal of Glaucoma 2017; 26: 126-132 (IGR: 18-3)


71353 Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in Primary Care: Validation for screening in populations with open-angle glaucoma risk factors
Pedregal González M
Atencion Primaria 2017; 49: 399-406 (IGR: 18-3)


71301 Relationship between Plasma Homocysteine Level and Glaucomatous Retinal Nerve Fiber Layer Defect
Yoo CK; Won YS
Current Eye Research 2017; 0: 1-6 (IGR: 18-3)


71353 Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in Primary Care: Validation for screening in populations with open-angle glaucoma risk factors
Cornejo Castillo M
Atencion Primaria 2017; 49: 399-406 (IGR: 18-3)


71301 Relationship between Plasma Homocysteine Level and Glaucomatous Retinal Nerve Fiber Layer Defect
Kim JH
Current Eye Research 2017; 0: 1-6 (IGR: 18-3)


71353 Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in Primary Care: Validation for screening in populations with open-angle glaucoma risk factors
Molina Fernández E; Barral FJ
Atencion Primaria 2017; 49: 399-406 (IGR: 18-3)


71301 Relationship between Plasma Homocysteine Level and Glaucomatous Retinal Nerve Fiber Layer Defect
Kwon HS; Park KH
Current Eye Research 2017; 0: 1-6 (IGR: 18-3)


71353 Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in Primary Care: Validation for screening in populations with open-angle glaucoma risk factors
Pérez Espinosa JR
Atencion Primaria 2017; 49: 399-406 (IGR: 18-3)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Schweitzer C
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


69979 Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio
Russo A
Journal of Glaucoma 2016; 25: e777-e781 (IGR: 18-2)


70268 Developing new automated alternation flicker using optic disc photography for the detection of glaucoma progression
Ahn J
Eye 2017; 31: 119-126 (IGR: 18-2)


70396 Optic cup segmentation from fundus images for glaucoma diagnosis
Hu M
Bioengineered 2017; 8: 21-28 (IGR: 18-2)


70419 Detection of glaucoma progression by perimetry and optic disc photography at different stages of the disease: results from the Early Manifest Glaucoma Trial
Öhnell H
Acta Ophthalmologica 2017; 95: 281-287 (IGR: 18-2)


70712 Ocular characteristics associated with the location of focal lamina cribrosa defects in open-angle glaucoma patients
Park HY
Eye 2017; 31: 578-587 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Zhang C
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


70701 Detection of Glaucoma Using Image Processing Techniques: A Critique
Kumar BN
Seminars in Ophthalmology 2016; 0: 1-9 (IGR: 18-2)


70226 Vessel Caliber in Normal Tension and Primary Open Angle Glaucoma Eyes With Hemifield Damage
Rao A
Journal of Glaucoma 2017; 26: 46-53 (IGR: 18-2)


70712 Ocular characteristics associated with the location of focal lamina cribrosa defects in open-angle glaucoma patients
Hwang YS
Eye 2017; 31: 578-587 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Tatham AJ
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


70226 Vessel Caliber in Normal Tension and Primary Open Angle Glaucoma Eyes With Hemifield Damage
Agarwal K
Journal of Glaucoma 2017; 26: 46-53 (IGR: 18-2)


70701 Detection of Glaucoma Using Image Processing Techniques: A Critique
Chauhan RP
Seminars in Ophthalmology 2016; 0: 1-9 (IGR: 18-2)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Korobelnik JF
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


70396 Optic cup segmentation from fundus images for glaucoma diagnosis
Zhu C
Bioengineered 2017; 8: 21-28 (IGR: 18-2)


70268 Developing new automated alternation flicker using optic disc photography for the detection of glaucoma progression
Yun IS
Eye 2017; 31: 119-126 (IGR: 18-2)


70419 Detection of glaucoma progression by perimetry and optic disc photography at different stages of the disease: results from the Early Manifest Glaucoma Trial
Heijl A
Acta Ophthalmologica 2017; 95: 281-287 (IGR: 18-2)


69979 Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio
Mapham W
Journal of Glaucoma 2016; 25: e777-e781 (IGR: 18-2)


70226 Vessel Caliber in Normal Tension and Primary Open Angle Glaucoma Eyes With Hemifield Damage
Mudunuri H
Journal of Glaucoma 2017; 26: 46-53 (IGR: 18-2)


70396 Optic cup segmentation from fundus images for glaucoma diagnosis
Li X
Bioengineered 2017; 8: 21-28 (IGR: 18-2)


70701 Detection of Glaucoma Using Image Processing Techniques: A Critique
Dahiya N
Seminars in Ophthalmology 2016; 0: 1-9 (IGR: 18-2)


70419 Detection of glaucoma progression by perimetry and optic disc photography at different stages of the disease: results from the Early Manifest Glaucoma Trial
Anderson H
Acta Ophthalmologica 2017; 95: 281-287 (IGR: 18-2)


70712 Ocular characteristics associated with the location of focal lamina cribrosa defects in open-angle glaucoma patients
Park CK
Eye 2017; 31: 578-587 (IGR: 18-2)


70268 Developing new automated alternation flicker using optic disc photography for the detection of glaucoma progression
Yoo HG
Eye 2017; 31: 119-126 (IGR: 18-2)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Le Goff M
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Abe RY
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


69979 Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio
Turano R
Journal of Glaucoma 2016; 25: e777-e781 (IGR: 18-2)


70268 Developing new automated alternation flicker using optic disc photography for the detection of glaucoma progression
Choi JJ
Eye 2017; 31: 119-126 (IGR: 18-2)


69979 Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio
Costagliola C
Journal of Glaucoma 2016; 25: e777-e781 (IGR: 18-2)


70419 Detection of glaucoma progression by perimetry and optic disc photography at different stages of the disease: results from the Early Manifest Glaucoma Trial
Bengtsson B
Acta Ophthalmologica 2017; 95: 281-287 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Hammel N
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


70226 Vessel Caliber in Normal Tension and Primary Open Angle Glaucoma Eyes With Hemifield Damage
Padhy D
Journal of Glaucoma 2017; 26: 46-53 (IGR: 18-2)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Rahimian O
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


70396 Optic cup segmentation from fundus images for glaucoma diagnosis
Xu Y
Bioengineered 2017; 8: 21-28 (IGR: 18-2)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Malet F
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


70268 Developing new automated alternation flicker using optic disc photography for the detection of glaucoma progression
Lee M
Eye 2017; 31: 119-126 (IGR: 18-2)


69979 Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio
Morescalchi F
Journal of Glaucoma 2016; 25: e777-e781 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Belghith A
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


70226 Vessel Caliber in Normal Tension and Primary Open Angle Glaucoma Eyes With Hemifield Damage
Roy AK
Journal of Glaucoma 2017; 26: 46-53 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Weinreb RN
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


70226 Vessel Caliber in Normal Tension and Primary Open Angle Glaucoma Eyes With Hemifield Damage
Mukherjee S
Journal of Glaucoma 2017; 26: 46-53 (IGR: 18-2)


69979 Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio
Scaroni N
Journal of Glaucoma 2016; 25: e777-e781 (IGR: 18-2)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Rougier MB; Delyfer MN
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


69979 Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio
Semeraro F
Journal of Glaucoma 2016; 25: e777-e781 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Medeiros FA
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Dartigues JF
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Liebmann JM; Girkin CA
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


70471 Diagnostic Performance of Peripapillary Retinal Nerve Fiber Layer Thickness for Detection of Glaucoma in an Elderly Population: The ALIENOR Study
Delcourt C
Investigative Ophthalmology and Visual Science 2016; 57: 5882-5891 (IGR: 18-2)


70019 Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects
Zangwill LM
PLoS ONE 2016; 11: e0160549 (IGR: 18-2)


69320 Technology and the Glaucoma Suspect
Blumberg DM
Investigative Ophthalmology and Visual Science 2016; 57: OCT80-5 (IGR: 18-1)


69077 Retinal vessel diameter in bilateral glaucoma suspects: comparison between the eye converted to glaucoma and the contralateral non-converted eye
Yoo E
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1599-1608 (IGR: 18-1)


69450 Characteristics of Retinal Nerve Fiber Layer Defect in Nonglaucomatous Eyes With Type II Diabetes
Jeon SJ
Investigative Ophthalmology and Visual Science 2016; 57: 4008-4015 (IGR: 18-1)


69179 Morphometric Optic Nerve Head Analysis in Glaucoma Patients: A Comparison between the Simultaneous Nonmydriatic Stereoscopic Fundus Camera (Kowa Nonmyd WX3D) and the Heidelberg Scanning Laser Ophthalmoscope (HRT III)
Mariacher S
Journal of Ophthalmology 2016; 2016: 4764857 (IGR: 18-1)


69335 Agreement of New Automated Matched Alternation Flicker using Undilated Fundus Photography for the Detection of Glaucomatous Structural Change
Yun IS
Current Eye Research 2016; 0: 1-5 (IGR: 18-1)


69127 Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening
Han SB
British Journal of Ophthalmology 2016; 0: (IGR: 18-1)


69335 Agreement of New Automated Matched Alternation Flicker using Undilated Fundus Photography for the Detection of Glaucomatous Structural Change
Rho S
Current Eye Research 2016; 0: 1-5 (IGR: 18-1)


69077 Retinal vessel diameter in bilateral glaucoma suspects: comparison between the eye converted to glaucoma and the contralateral non-converted eye
Yoo C
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1599-1608 (IGR: 18-1)


69179 Morphometric Optic Nerve Head Analysis in Glaucoma Patients: A Comparison between the Simultaneous Nonmydriatic Stereoscopic Fundus Camera (Kowa Nonmyd WX3D) and the Heidelberg Scanning Laser Ophthalmoscope (HRT III)
Hipp S
Journal of Ophthalmology 2016; 2016: 4764857 (IGR: 18-1)


69450 Characteristics of Retinal Nerve Fiber Layer Defect in Nonglaucomatous Eyes With Type II Diabetes
Kwon JW
Investigative Ophthalmology and Visual Science 2016; 57: 4008-4015 (IGR: 18-1)


69127 Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening
Yang HK
British Journal of Ophthalmology 2016; 0: (IGR: 18-1)


69320 Technology and the Glaucoma Suspect
De Moraes CG
Investigative Ophthalmology and Visual Science 2016; 57: OCT80-5 (IGR: 18-1)


69127 Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening
Oh JE
British Journal of Ophthalmology 2016; 0: (IGR: 18-1)


69335 Agreement of New Automated Matched Alternation Flicker using Undilated Fundus Photography for the Detection of Glaucomatous Structural Change
Jang S
Current Eye Research 2016; 0: 1-5 (IGR: 18-1)


69450 Characteristics of Retinal Nerve Fiber Layer Defect in Nonglaucomatous Eyes With Type II Diabetes
La TY
Investigative Ophthalmology and Visual Science 2016; 57: 4008-4015 (IGR: 18-1)


69179 Morphometric Optic Nerve Head Analysis in Glaucoma Patients: A Comparison between the Simultaneous Nonmydriatic Stereoscopic Fundus Camera (Kowa Nonmyd WX3D) and the Heidelberg Scanning Laser Ophthalmoscope (HRT III)
Wirthky R
Journal of Ophthalmology 2016; 2016: 4764857 (IGR: 18-1)


69077 Retinal vessel diameter in bilateral glaucoma suspects: comparison between the eye converted to glaucoma and the contralateral non-converted eye
Lee TE
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1599-1608 (IGR: 18-1)


69320 Technology and the Glaucoma Suspect
Liebmann JM
Investigative Ophthalmology and Visual Science 2016; 57: OCT80-5 (IGR: 18-1)


69077 Retinal vessel diameter in bilateral glaucoma suspects: comparison between the eye converted to glaucoma and the contralateral non-converted eye
Kim YY
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1599-1608 (IGR: 18-1)


69450 Characteristics of Retinal Nerve Fiber Layer Defect in Nonglaucomatous Eyes With Type II Diabetes
Park CK
Investigative Ophthalmology and Visual Science 2016; 57: 4008-4015 (IGR: 18-1)


69127 Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening
Kim KG
British Journal of Ophthalmology 2016; 0: (IGR: 18-1)


69179 Morphometric Optic Nerve Head Analysis in Glaucoma Patients: A Comparison between the Simultaneous Nonmydriatic Stereoscopic Fundus Camera (Kowa Nonmyd WX3D) and the Heidelberg Scanning Laser Ophthalmoscope (HRT III)
Blumenstock G
Journal of Ophthalmology 2016; 2016: 4764857 (IGR: 18-1)


69320 Technology and the Glaucoma Suspect
Garg R
Investigative Ophthalmology and Visual Science 2016; 57: OCT80-5 (IGR: 18-1)


69335 Agreement of New Automated Matched Alternation Flicker using Undilated Fundus Photography for the Detection of Glaucomatous Structural Change
Ahn J
Current Eye Research 2016; 0: 1-5 (IGR: 18-1)


69450 Characteristics of Retinal Nerve Fiber Layer Defect in Nonglaucomatous Eyes With Type II Diabetes
Choi JA
Investigative Ophthalmology and Visual Science 2016; 57: 4008-4015 (IGR: 18-1)


69127 Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening
Hwang JM
British Journal of Ophthalmology 2016; 0: (IGR: 18-1)


69179 Morphometric Optic Nerve Head Analysis in Glaucoma Patients: A Comparison between the Simultaneous Nonmydriatic Stereoscopic Fundus Camera (Kowa Nonmyd WX3D) and the Heidelberg Scanning Laser Ophthalmoscope (HRT III)
Bartz-Schmidt KU
Journal of Ophthalmology 2016; 2016: 4764857 (IGR: 18-1)


69335 Agreement of New Automated Matched Alternation Flicker using Undilated Fundus Photography for the Detection of Glaucomatous Structural Change
Choi JJ
Current Eye Research 2016; 0: 1-5 (IGR: 18-1)


69320 Technology and the Glaucoma Suspect
Chen C
Investigative Ophthalmology and Visual Science 2016; 57: OCT80-5 (IGR: 18-1)


69335 Agreement of New Automated Matched Alternation Flicker using Undilated Fundus Photography for the Detection of Glaucomatous Structural Change
Lee M
Current Eye Research 2016; 0: 1-5 (IGR: 18-1)


69179 Morphometric Optic Nerve Head Analysis in Glaucoma Patients: A Comparison between the Simultaneous Nonmydriatic Stereoscopic Fundus Camera (Kowa Nonmyd WX3D) and the Heidelberg Scanning Laser Ophthalmoscope (HRT III)
Ziemssen F
Journal of Ophthalmology 2016; 2016: 4764857 (IGR: 18-1)


69320 Technology and the Glaucoma Suspect
Theventhiran A; Hood DC
Investigative Ophthalmology and Visual Science 2016; 57: OCT80-5 (IGR: 18-1)


69179 Morphometric Optic Nerve Head Analysis in Glaucoma Patients: A Comparison between the Simultaneous Nonmydriatic Stereoscopic Fundus Camera (Kowa Nonmyd WX3D) and the Heidelberg Scanning Laser Ophthalmoscope (HRT III)
Schiefer U; Voykov B; Januschowski K
Journal of Ophthalmology 2016; 2016: 4764857 (IGR: 18-1)


67475 Glaucoma diagnostic capacity of optic nerve head haemoglobin measures compared with spectral domain OCT and HRT III confocal tomography
Mendez-Hernandez C
Acta Ophthalmologica 2016; 94: 697-704 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Desjardins M
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Ji Y
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67306 Structural and Functional Progression in the Early Manifest Glaucoma Trial
Öhnell H
Ophthalmology 2016; 123: 1173-1180 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Nakano E
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Schaefer JL
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67206 Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images
Maheshwari S
IEEE journal of biomedical and health informatics 2016; 0: (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Zwillinger S
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Waisbourd M
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Zuo C
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Hata M
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Paques M
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


67206 Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images
Pachori RB
IEEE journal of biomedical and health informatics 2016; 0: (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Bond EA
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


67475 Glaucoma diagnostic capacity of optic nerve head haemoglobin measures compared with spectral domain OCT and HRT III confocal tomography
Rodriguez-Uña I
Acta Ophthalmologica 2016; 94: 697-704 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Sylvestre JP
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67306 Structural and Functional Progression in the Early Manifest Glaucoma Trial
Heijl A
Ophthalmology 2016; 123: 1173-1180 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Lukowski ZL
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67306 Structural and Functional Progression in the Early Manifest Glaucoma Trial
Brenner L
Ophthalmology 2016; 123: 1173-1180 (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Safran B
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


67475 Glaucoma diagnostic capacity of optic nerve head haemoglobin measures compared with spectral domain OCT and HRT III confocal tomography
Gonzalez-de-la Rosa M
Acta Ophthalmologica 2016; 94: 697-704 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Sullivan T
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Meyer AM
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Lin M
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Oishi A
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Jafari R
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67206 Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images
Acharya UR
IEEE journal of biomedical and health informatics 2016; 0: (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Leoncavallo AJ
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67306 Structural and Functional Progression in the Early Manifest Glaucoma Trial
Anderson H
Ophthalmology 2016; 123: 1173-1180 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Miyamoto K
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Hu WD
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Baudouin C
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Kulasekara S
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Zhang X
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67475 Glaucoma diagnostic capacity of optic nerve head haemoglobin measures compared with spectral domain OCT and HRT III confocal tomography
Arribas-Pardo P
Acta Ophthalmologica 2016; 94: 697-704 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Shah SB
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Rose K
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67306 Structural and Functional Progression in the Early Manifest Glaucoma Trial
Bengtsson B
Ophthalmology 2016; 123: 1173-1180 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Uji A
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Greer A
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Li M
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67475 Glaucoma diagnostic capacity of optic nerve head haemoglobin measures compared with spectral domain OCT and HRT III confocal tomography
Garcia-Feijoo J
Acta Ophthalmologica 2016; 94: 697-704 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Mi L
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Molineaux J
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Trussart R
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Fujimoto M
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Martorana GM
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Miyata M
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Zou B
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Arbour JD
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Sembhi H
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Liu B
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67502 Quantitative comparison of disc rim color in optic nerve atrophy of compressive optic neuropathy and glaucomatous optic neuropathy
Yoshimura N
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 1609-1616 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Shuster JJ
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Spaeth GL
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Wen F
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67581 Preliminary investigation of multispectral retinal tissue oximetry mapping using a hyperspectral retinal camera
Hudson C; Lesage F
Experimental Eye Research 2016; 146: 330-340 (IGR: 17-4)


67187 Comparing Glaucomatous Disc Change Using Stereo Disc Viewing and the MatchedFlicker Software Program in Ophthalmologists-in-Training
Sherwood MB
American Journal of Ophthalmology 2016; 167: 88-95 (IGR: 17-4)


67611 Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project
Myers JS; Hark LA; Katz LJ
Journal of Glaucoma 2016; 25: e520-e525 (IGR: 17-4)


65915 Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs
Chakrabarty L
Journal of Glaucoma 2016; 25: 590-597 (IGR: 17-3)


65813 Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey
Almazroa A
Journal of Ophthalmology 2015; 2015: 180972 (IGR: 17-3)


66355 Estimation of the Disc Damage Likelihood Scale in primary open-angle glaucoma: the Glaucoma Stereo Analysis Study
Kitaoka Y
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 523-528 (IGR: 17-3)


65848 Significance of the disc damage likelihood scale objectively measured by a non-mydriatic fundus camera in preperimetric glaucoma
Pahlitzsch M
Clinical Ophthalmology 2015; 9: 2147-2158 (IGR: 17-3)


65980 Optic Disc - Fovea Angle: The Beijing Eye Study 2011
Jonas RA
PLoS ONE 2015; 10: e0141771 (IGR: 17-3)


66355 Estimation of the Disc Damage Likelihood Scale in primary open-angle glaucoma: the Glaucoma Stereo Analysis Study
Tanito M
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 523-528 (IGR: 17-3)


65980 Optic Disc - Fovea Angle: The Beijing Eye Study 2011
Wang YX
PLoS ONE 2015; 10: e0141771 (IGR: 17-3)


65813 Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey
Burman R
Journal of Ophthalmology 2015; 2015: 180972 (IGR: 17-3)


65915 Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs
Joshi GD
Journal of Glaucoma 2016; 25: 590-597 (IGR: 17-3)


65848 Significance of the disc damage likelihood scale objectively measured by a non-mydriatic fundus camera in preperimetric glaucoma
Torun N; Erb C
Clinical Ophthalmology 2015; 9: 2147-2158 (IGR: 17-3)


65980 Optic Disc - Fovea Angle: The Beijing Eye Study 2011
Yang H
PLoS ONE 2015; 10: e0141771 (IGR: 17-3)


65915 Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs
Chakravarty A
Journal of Glaucoma 2016; 25: 590-597 (IGR: 17-3)


66355 Estimation of the Disc Damage Likelihood Scale in primary open-angle glaucoma: the Glaucoma Stereo Analysis Study
Yokoyama Y
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 523-528 (IGR: 17-3)


65813 Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey
Raahemifar K
Journal of Ophthalmology 2015; 2015: 180972 (IGR: 17-3)


65980 Optic Disc - Fovea Angle: The Beijing Eye Study 2011
Li JJ
PLoS ONE 2015; 10: e0141771 (IGR: 17-3)


65848 Significance of the disc damage likelihood scale objectively measured by a non-mydriatic fundus camera in preperimetric glaucoma
Bruenner J
Clinical Ophthalmology 2015; 9: 2147-2158 (IGR: 17-3)


66355 Estimation of the Disc Damage Likelihood Scale in primary open-angle glaucoma: the Glaucoma Stereo Analysis Study
Nitta K
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 523-528 (IGR: 17-3)


65813 Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey
Lakshminarayanan V
Journal of Ophthalmology 2015; 2015: 180972 (IGR: 17-3)


65915 Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs
Raman GV
Journal of Glaucoma 2016; 25: 590-597 (IGR: 17-3)


65980 Optic Disc - Fovea Angle: The Beijing Eye Study 2011
Xu L
PLoS ONE 2015; 10: e0141771 (IGR: 17-3)


65848 Significance of the disc damage likelihood scale objectively measured by a non-mydriatic fundus camera in preperimetric glaucoma
Maier AK
Clinical Ophthalmology 2015; 9: 2147-2158 (IGR: 17-3)


66355 Estimation of the Disc Damage Likelihood Scale in primary open-angle glaucoma: the Glaucoma Stereo Analysis Study
Katai M
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 523-528 (IGR: 17-3)


65915 Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs
Krishnadas SR; Sivaswamy J
Journal of Glaucoma 2016; 25: 590-597 (IGR: 17-3)


65980 Optic Disc - Fovea Angle: The Beijing Eye Study 2011
Panda-Jonas S
PLoS ONE 2015; 10: e0141771 (IGR: 17-3)


66355 Estimation of the Disc Damage Likelihood Scale in primary open-angle glaucoma: the Glaucoma Stereo Analysis Study
Omodaka K
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 523-528 (IGR: 17-3)


65848 Significance of the disc damage likelihood scale objectively measured by a non-mydriatic fundus camera in preperimetric glaucoma
Gonnermann J; Bertelmann E
Clinical Ophthalmology 2015; 9: 2147-2158 (IGR: 17-3)


66355 Estimation of the Disc Damage Likelihood Scale in primary open-angle glaucoma: the Glaucoma Stereo Analysis Study
Nakazawa T
Graefe's Archive for Clinical and Experimental Ophthalmology 2016; 254: 523-528 (IGR: 17-3)


65980 Optic Disc - Fovea Angle: The Beijing Eye Study 2011
Jonas JB
PLoS ONE 2015; 10: e0141771 (IGR: 17-3)


65848 Significance of the disc damage likelihood scale objectively measured by a non-mydriatic fundus camera in preperimetric glaucoma
Klamann MK
Clinical Ophthalmology 2015; 9: 2147-2158 (IGR: 17-3)


61275 Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Christopher M
Investigative Ophthalmology and Visual Science 2015; 56: 4470-4479 (IGR: 17-1)


61320 Fundus Tessellation: Prevalence and Associated Factors: The Beijing Eye Study 2011
Yan YN
Ophthalmology 2015; 122: 1873-1880 (IGR: 17-1)


61490 Ten-Year Incidence of Retinal Nerve Fiber Layer Defects: The Beijing Eye Study 2001/2011
Jie R
Investigative Ophthalmology and Visual Science 2015; 56: 5118-5124 (IGR: 17-1)


61066 Evaluation of the Retinal Nerve Fiber Layer Thickness, the Mean Deviation, and the Visual Field Index in Progressive Glaucoma
Banegas SA
Journal of Glaucoma 2016; 25: e229-e235 (IGR: 17-1)


61490 Ten-Year Incidence of Retinal Nerve Fiber Layer Defects: The Beijing Eye Study 2001/2011
Xu L
Investigative Ophthalmology and Visual Science 2015; 56: 5118-5124 (IGR: 17-1)


61320 Fundus Tessellation: Prevalence and Associated Factors: The Beijing Eye Study 2011
Wang YX
Ophthalmology 2015; 122: 1873-1880 (IGR: 17-1)


61275 Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Abràmoff MD
Investigative Ophthalmology and Visual Science 2015; 56: 4470-4479 (IGR: 17-1)


61066 Evaluation of the Retinal Nerve Fiber Layer Thickness, the Mean Deviation, and the Visual Field Index in Progressive Glaucoma
Antón A
Journal of Glaucoma 2016; 25: e229-e235 (IGR: 17-1)


61275 Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Tang L
Investigative Ophthalmology and Visual Science 2015; 56: 4470-4479 (IGR: 17-1)


61066 Evaluation of the Retinal Nerve Fiber Layer Thickness, the Mean Deviation, and the Visual Field Index in Progressive Glaucoma
Morilla A
Journal of Glaucoma 2016; 25: e229-e235 (IGR: 17-1)


61490 Ten-Year Incidence of Retinal Nerve Fiber Layer Defects: The Beijing Eye Study 2001/2011
Wang YX
Investigative Ophthalmology and Visual Science 2015; 56: 5118-5124 (IGR: 17-1)


61320 Fundus Tessellation: Prevalence and Associated Factors: The Beijing Eye Study 2011
Xu L
Ophthalmology 2015; 122: 1873-1880 (IGR: 17-1)


61275 Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Gordon MO
Investigative Ophthalmology and Visual Science 2015; 56: 4470-4479 (IGR: 17-1)


61320 Fundus Tessellation: Prevalence and Associated Factors: The Beijing Eye Study 2011
Xu J
Ophthalmology 2015; 122: 1873-1880 (IGR: 17-1)


61066 Evaluation of the Retinal Nerve Fiber Layer Thickness, the Mean Deviation, and the Visual Field Index in Progressive Glaucoma
Bogado M
Journal of Glaucoma 2016; 25: e229-e235 (IGR: 17-1)


61490 Ten-Year Incidence of Retinal Nerve Fiber Layer Defects: The Beijing Eye Study 2001/2011
Zhang L
Investigative Ophthalmology and Visual Science 2015; 56: 5118-5124 (IGR: 17-1)


61066 Evaluation of the Retinal Nerve Fiber Layer Thickness, the Mean Deviation, and the Visual Field Index in Progressive Glaucoma
Ayala EM
Journal of Glaucoma 2016; 25: e229-e235 (IGR: 17-1)


61275 Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Kass MA
Investigative Ophthalmology and Visual Science 2015; 56: 4470-4479 (IGR: 17-1)


61320 Fundus Tessellation: Prevalence and Associated Factors: The Beijing Eye Study 2011
Wei WB
Ophthalmology 2015; 122: 1873-1880 (IGR: 17-1)


61490 Ten-Year Incidence of Retinal Nerve Fiber Layer Defects: The Beijing Eye Study 2001/2011
You QS
Investigative Ophthalmology and Visual Science 2015; 56: 5118-5124 (IGR: 17-1)


61275 Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Budenz DL
Investigative Ophthalmology and Visual Science 2015; 56: 4470-4479 (IGR: 17-1)


61066 Evaluation of the Retinal Nerve Fiber Layer Thickness, the Mean Deviation, and the Visual Field Index in Progressive Glaucoma
Fernandez-Guardiola A
Journal of Glaucoma 2016; 25: e229-e235 (IGR: 17-1)


61490 Ten-Year Incidence of Retinal Nerve Fiber Layer Defects: The Beijing Eye Study 2001/2011
Yang H
Investigative Ophthalmology and Visual Science 2015; 56: 5118-5124 (IGR: 17-1)


61320 Fundus Tessellation: Prevalence and Associated Factors: The Beijing Eye Study 2011
Jonas JB
Ophthalmology 2015; 122: 1873-1880 (IGR: 17-1)


61490 Ten-Year Incidence of Retinal Nerve Fiber Layer Defects: The Beijing Eye Study 2001/2011
Jonas JB
Investigative Ophthalmology and Visual Science 2015; 56: 5118-5124 (IGR: 17-1)


61066 Evaluation of the Retinal Nerve Fiber Layer Thickness, the Mean Deviation, and the Visual Field Index in Progressive Glaucoma
Moreno-Montañes J
Journal of Glaucoma 2016; 25: e229-e235 (IGR: 17-1)


61275 Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension
Fingert JH; Scheetz TE
Investigative Ophthalmology and Visual Science 2015; 56: 4470-4479 (IGR: 17-1)


60447 Estimation of the relative amount of hemoglobin in the cup and neuroretinal rim using stereoscopic color fundus images
Pena-Betancor C
Investigative Ophthalmology and Visual Science 2015; 56: 1562-1568 (IGR: 16-4)


59663 Presence of an optic disc notch and glaucoma
Healey PR
Journal of Glaucoma 2015; 24: 262-266 (IGR: 16-4)


60051 Intereye Comparison of Cirrus OCT in Early Glaucoma Diagnosis and Detecting Photographic Retinal Nerve Fiber Layer Abnormalities
Park HY
Investigative Ophthalmology and Visual Science 2014; 56: 1733-1742 (IGR: 16-4)


60656 Comparison of Three Types of Images for the Detection of Retinal Nerve Fiber Layer Defects
Bae HW
Optometry and Vision Science 2015; 0: (IGR: 16-4)


60522 An automated detection of glaucoma using histogram features
Sakthivel K
International Journal of Ophthalmology 2015; 8: 194-200 (IGR: 16-4)


60779 Optic disc segmentation by balloon snake with texture from color fundus image
Sun J
International journal of biomedical imaging 2015; 2015: 528626 (IGR: 16-4)


59842 Novel screening method for glaucomatous eyes with myopic tilted discs: the crescent moon sign
Kim MJ
JAMA ophthalmology 2014; 132: 1407-1413 (IGR: 16-4)


60755 Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy
Ng WS
Journal of Glaucoma 2016; 25: 397-402 (IGR: 16-4)


60353 Agreement among spectral-domain optical coherence tomography, standard automated perimetry, and stereophotography in the detection of glaucoma progression
Banegas SA
Investigative Ophthalmology and Visual Science 2015; 56: 1253-1260 (IGR: 16-4)


60656 Comparison of Three Types of Images for the Detection of Retinal Nerve Fiber Layer Defects
Lee N
Optometry and Vision Science 2015; 0: (IGR: 16-4)


60353 Agreement among spectral-domain optical coherence tomography, standard automated perimetry, and stereophotography in the detection of glaucoma progression
Antón A
Investigative Ophthalmology and Visual Science 2015; 56: 1253-1260 (IGR: 16-4)


59663 Presence of an optic disc notch and glaucoma
Mitchell P
Journal of Glaucoma 2015; 24: 262-266 (IGR: 16-4)


60779 Optic disc segmentation by balloon snake with texture from color fundus image
Luan F
International journal of biomedical imaging 2015; 2015: 528626 (IGR: 16-4)


60447 Estimation of the relative amount of hemoglobin in the cup and neuroretinal rim using stereoscopic color fundus images
Gonzalez-Hernandez M
Investigative Ophthalmology and Visual Science 2015; 56: 1562-1568 (IGR: 16-4)


60522 An automated detection of glaucoma using histogram features
Narayanan R
International Journal of Ophthalmology 2015; 8: 194-200 (IGR: 16-4)


60755 Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy
Legg P
Journal of Glaucoma 2016; 25: 397-402 (IGR: 16-4)


59842 Novel screening method for glaucomatous eyes with myopic tilted discs: the crescent moon sign
Kim SH
JAMA ophthalmology 2014; 132: 1407-1413 (IGR: 16-4)


60051 Intereye Comparison of Cirrus OCT in Early Glaucoma Diagnosis and Detecting Photographic Retinal Nerve Fiber Layer Abnormalities
Shin HY; Yoon JY
Investigative Ophthalmology and Visual Science 2014; 56: 1733-1742 (IGR: 16-4)


60447 Estimation of the relative amount of hemoglobin in the cup and neuroretinal rim using stereoscopic color fundus images
Fumero-Batista F
Investigative Ophthalmology and Visual Science 2015; 56: 1562-1568 (IGR: 16-4)


59842 Novel screening method for glaucomatous eyes with myopic tilted discs: the crescent moon sign
Hwang YH
JAMA ophthalmology 2014; 132: 1407-1413 (IGR: 16-4)


60656 Comparison of Three Types of Images for the Detection of Retinal Nerve Fiber Layer Defects
Kim CY
Optometry and Vision Science 2015; 0: (IGR: 16-4)


60755 Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy
Avadhanam V
Journal of Glaucoma 2016; 25: 397-402 (IGR: 16-4)


60353 Agreement among spectral-domain optical coherence tomography, standard automated perimetry, and stereophotography in the detection of glaucoma progression
Morilla-Grasa A
Investigative Ophthalmology and Visual Science 2015; 56: 1253-1260 (IGR: 16-4)


60779 Optic disc segmentation by balloon snake with texture from color fundus image
Wu H
International journal of biomedical imaging 2015; 2015: 528626 (IGR: 16-4)


59842 Novel screening method for glaucomatous eyes with myopic tilted discs: the crescent moon sign
Park KH
JAMA ophthalmology 2014; 132: 1407-1413 (IGR: 16-4)


60755 Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy
Aye K
Journal of Glaucoma 2016; 25: 397-402 (IGR: 16-4)


60051 Intereye Comparison of Cirrus OCT in Early Glaucoma Diagnosis and Detecting Photographic Retinal Nerve Fiber Layer Abnormalities
Jung Y
Investigative Ophthalmology and Visual Science 2014; 56: 1733-1742 (IGR: 16-4)


60447 Estimation of the relative amount of hemoglobin in the cup and neuroretinal rim using stereoscopic color fundus images
Sigut J
Investigative Ophthalmology and Visual Science 2015; 56: 1562-1568 (IGR: 16-4)


60353 Agreement among spectral-domain optical coherence tomography, standard automated perimetry, and stereophotography in the detection of glaucoma progression
Bogado M
Investigative Ophthalmology and Visual Science 2015; 56: 1253-1260 (IGR: 16-4)


60656 Comparison of Three Types of Images for the Detection of Retinal Nerve Fiber Layer Defects
Choi M
Optometry and Vision Science 2015; 0: (IGR: 16-4)


60755 Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy
Evans SH
Journal of Glaucoma 2016; 25: 397-402 (IGR: 16-4)


60447 Estimation of the relative amount of hemoglobin in the cup and neuroretinal rim using stereoscopic color fundus images
Medina-Mesa E
Investigative Ophthalmology and Visual Science 2015; 56: 1562-1568 (IGR: 16-4)


60656 Comparison of Three Types of Images for the Detection of Retinal Nerve Fiber Layer Defects
Hong S
Optometry and Vision Science 2015; 0: (IGR: 16-4)


60353 Agreement among spectral-domain optical coherence tomography, standard automated perimetry, and stereophotography in the detection of glaucoma progression
Ayala EM
Investigative Ophthalmology and Visual Science 2015; 56: 1253-1260 (IGR: 16-4)


60051 Intereye Comparison of Cirrus OCT in Early Glaucoma Diagnosis and Detecting Photographic Retinal Nerve Fiber Layer Abnormalities
Park CK
Investigative Ophthalmology and Visual Science 2014; 56: 1733-1742 (IGR: 16-4)


59842 Novel screening method for glaucomatous eyes with myopic tilted discs: the crescent moon sign
Kim TW
JAMA ophthalmology 2014; 132: 1407-1413 (IGR: 16-4)


60755 Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy
North RV
Journal of Glaucoma 2016; 25: 397-402 (IGR: 16-4)


60353 Agreement among spectral-domain optical coherence tomography, standard automated perimetry, and stereophotography in the detection of glaucoma progression
Moreno-Montañes J
Investigative Ophthalmology and Visual Science 2015; 56: 1253-1260 (IGR: 16-4)


59842 Novel screening method for glaucomatous eyes with myopic tilted discs: the crescent moon sign
Kim DM
JAMA ophthalmology 2014; 132: 1407-1413 (IGR: 16-4)


60447 Estimation of the relative amount of hemoglobin in the cup and neuroretinal rim using stereoscopic color fundus images
Alayon S
Investigative Ophthalmology and Visual Science 2015; 56: 1562-1568 (IGR: 16-4)


60656 Comparison of Three Types of Images for the Detection of Retinal Nerve Fiber Layer Defects
Seong GJ
Optometry and Vision Science 2015; 0: (IGR: 16-4)


60447 Estimation of the relative amount of hemoglobin in the cup and neuroretinal rim using stereoscopic color fundus images
Gonzalez de la Rosa M
Investigative Ophthalmology and Visual Science 2015; 56: 1562-1568 (IGR: 16-4)


60755 Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy
Marshall AD; Rosin P; Morgan JE
Journal of Glaucoma 2016; 25: 397-402 (IGR: 16-4)


58853 Comparison of the clinical disc margin seen in stereo disc photographs with neural canal opening seen in optical coherence tomography images
Young M; Lee S; Rateb M; Beg MF; Sarunic MV; Mackenzie PJ
Journal of Glaucoma 2014; 23: 360-367 (IGR: 16-3)


58577 Agreement of retinal nerve fiber layer defect location between red-free fundus photography and cirrus HD-OCT maps
Hwang YH; Kim YY; Kim HK; Sohn YH
Current Eye Research 2014; 39: 1099-1105 (IGR: 16-3)


59544 Additive Diagnostic Role of Imaging in Glaucoma: Optical Coherence Tomography and Retinal Nerve Fiber Layer Photography
Kim KE; Kim SH; Oh S; Jeoung JW; Suh MH; Seo JH; Kim M; Park KH; Kim DM
Investigative Ophthalmology and Visual Science 2014; 55: 8024-8030 (IGR: 16-3)


59610 Long-Term Follow-up in Preperimetric Open-Angle Glaucoma: Progression Rates and Associated Factors
Kim KE; Jeoung JW; Kim DM; Ahn SJ; Park KH; Kim SH
American Journal of Ophthalmology 2015; 159: 160-168.e2 (IGR: 16-3)


58941 Patterns of subsequent progression of localized retinal nerve fiber layer defects on red-free fundus photographs in normal-tension glaucoma
Kim TJ; Kim YK; Kim DM
Korean Journal of Ophthalmology 2014; 28: 330-336 (IGR: 16-3)


58920 Retinal vessel diameter in normal-tension glaucoma patients with asymmetric progression
Lee TE; Kim YY; Yoo C
Graefe's Archive for Clinical and Experimental Ophthalmology 2014; 252: 1795-1801 (IGR: 16-3)


57360 Thickness related textural properties of retinal nerve fiber layer in color fundus images
Odstrcilik J; Kolar R; Tornow RP; Jan J; Budai A; Mayer M; Vodakova M; Laemmer R; Lamos M; Kuna Z; Gazarek J; Kubena T; Cernosek P; Ronzhina M
Computerized Medical Imaging and Graphics 2014; 38: 508-516 (IGR: 16-2)


56995 Glaucomatous optic neuropathy evaluation project: factors associated with underestimation of glaucoma likelihood
O'Neill EC; Gurria LU; Pandav SS; Kong YX; Brennan JF; Xie J; Coote MA; Crowston JG
JAMA ophthalmology 2014; 132: 560-566 (IGR: 16-2)


57264 Optic nerve gray crescent can confound neuroretinal rim interpretation: review of the literature
Arora S; Rayat J; Damji KF
Canadian Journal of Ophthalmology 2014; 49: 238-242 (IGR: 16-2)


57249 Imaging of the optic disk in caring for patients with glaucoma: ophthalmoscopy and photography remain the gold standard
Spaeth GL; Reddy SC
Survey of Ophthalmology 2014; 59: 454-458 (IGR: 16-2)


57422 Registration of adaptive optics corrected retinal nerve fiber layer (RNFL) images
Ramaswamy G; Lombardo M; Devaney N
Biomedical optics express 2014; 5: 1941-1951 (IGR: 16-2)


57232 Evaluation of the "IS" Rule to Differentiate Glaucomatous Eyes From Normal
Law SK; Kornmann HL; Nilforushan N; Moghimi S; Caprioli J
Journal of Glaucoma 2016; 25: 27-32 (IGR: 16-2)


57456 Comparison of macular GCIPL and peripapillary RNFL deviation maps for detection of glaucomatous eye with localized RNFL defect
Kim MJ; Park KH; Yoo BW; Jeoung JW; Kim HC; Kim DM
Acta Ophthalmologica 2015; 93: e22-e28 (IGR: 16-2)


57462 Agreement in identification of glaucomatous progression between the optic disc photography and Heidelberg retina tomography in young glaucomatous patients
Hentova-Sencanic P; Sencanic I; Trajković G; Bozic M; Bjelovic N
International Journal of Ophthalmology 2014; 7: 474-479 (IGR: 16-2)


56037 Topographic characteristics of optic disc hemorrhage in primary open-angle glaucoma
Kim YK; Park KH; Yoo BW; Kim HC
Investigative Ophthalmology and Visual Science 2014; 55: 169-176 (IGR: 16-1)


56135 Structure-function mapping: variability and conviction in tracing retinal nerve fiber bundles and comparison to a computational model
Denniss J; Turpin A; Tanabe F; Matsumoto C; McKendrick AM
Investigative Ophthalmology and Visual Science 2014; 55: 728-736 (IGR: 16-1)


56671 Stereoscopic analysis of optic nerve head parameters in primary open angle glaucoma: the glaucoma stereo analysis study
Yokoyama Y; Tanito M; Nitta K; Katai M; Kitaoka Y; Omodaka K; Tsuda S; Nakagawa T; Nakazawa T
PLoS ONE 2014; 9: e99138 (IGR: 16-1)


56290 Application of vascular bundle displacement in the optic disc for glaucoma detection using fundus images
Fuente-Arriaga JA; Felipe-Riverón EM; Garduño-Calderón E
Computers in Biology and Medicine 2014; 47: 27-35 (IGR: 16-1)


56183 A novel optic nerve photograph alignment and subtraction technique for the detection of structural progression in glaucoma
Marlow ED; McGlynn MM; Radcliffe NM
Acta Ophthalmologica 2014; 92: e267-e272 (IGR: 16-1)


55234 Defects of the lamina cribrosa in eyes with localized retinal nerve fiber layer loss
Tatham AJ; Miki A; Weinreb RN; Zangwill LM; Medeiros FA
Ophthalmology 2014; 121: 110-118 (IGR: 15-4)


55506 Sequential-Digital Image Correlation for Mapping Human Posterior Sclera and Optic Nerve Head Deformation
Vande Geest J; Pyne JD; Genovese K; Casaletto L
Journal of Biomechanical Engineering 2014; 136: 021002 (IGR: 15-4)


55774 Correlation between Optic Nerve Parameters Obtained Using 3D Nonmydriatic Retinal Camera and Optical Coherence Tomography: Interobserver Agreement on the Disc Damage Likelihood Scale
Han JW; Cho SY; Kang KD
Journal of Ophthalmology 2014; 2014: 931738 (IGR: 15-4)


55176 Intraobserver and interobserver agreement of computer software-assisted optic nerve head photoplanimetry
Tanito M; Sagara T; Takamatsu M; Kiuchi Y; Nakagawa T; Fujita Y; Ohira A
Japanese Journal of Ophthalmology 2014; 58: 56-61 (IGR: 15-4)


55214 Relationship between retinal vascular geometry with retinal nerve fiber layer and ganglion cell-inner plexiform layer in nonglaucomatous eyes
Tham YC; Cheng CY; Zheng Y; Aung T; Wong TY; Cheung CY
Investigative Ophthalmology and Visual Science 2013; 54: 7309-7316 (IGR: 15-4)


55171 Discrepancy between optic disc and nerve fiber layer assessment and optical coherence tomography in detecting glaucomatous progression
Lee JR; Sung KR; Na JH; Shon K; Lee KS
Japanese Journal of Ophthalmology 2013; 57: 546-552 (IGR: 15-4)


55513 Detecting an event of progression using glaucoma probability score and the stereometric parameters of Heidelberg Retina Tomograph 3
Saarela V; Falck A; Tuulonen A
European Journal of Ophthalmology 2013; 0: 0 (IGR: 15-4)


55328 Optic disc planimetry, corneal hysteresis, central corneal thickness, and intraocular pressure as risk factors for glaucoma
Carbonaro F; Hysi PG; Fahy SJ; Nag A; Hammond CJ
American Journal of Ophthalmology 2014; 157: 441-446 (IGR: 15-4)


55686 Anatomical attributes of the optic nerve head in eyes with parafoveal scotoma in normal tension glaucoma
Rao A; Mukherjee S
PLoS ONE 2014; 9: e90554 (IGR: 15-4)


55406 Relationship between disc margin to fovea distance and central visual field defect in normal tension glaucoma
Lee M; Jin H; Ahn J
Graefe's Archive for Clinical and Experimental Ophthalmology 2014; 252: 307-314 (IGR: 15-4)


54489 The influence of intersubject variability in ocular anatomical variables on the mapping of retinal locations to the retinal nerve fiber layer and optic nerve head
Lamparter J; Russell RA; Zhu H; Asaoka R; Yamashita T; Ho T; Garway-Heath DF
Investigative Ophthalmology and Visual Science 2013; 54: 6074-6082 (IGR: 15-3)


54423 Ethnic variation in optic disc size by fundus photography
Lee RY; Kao AA; Kasuga T; Vo BN; Cui QN; Chiu CS; Weinreb RN; Lin SC
Current Eye Research 2013; 38: 1142-1147 (IGR: 15-3)


54836 Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review
Haleem MS; Han L; van Hemert J; Li B
Computerized Medical Imaging and Graphics 2013; 37: 581-596 (IGR: 15-3)


53668 Assessment of optic disc photographs for glaucoma by UK optometrists: the Moorfields Optic Disc Assessment Study (MODAS)
Hadwin SE; Redmond T; Garway-Heath DF; Lemij HG; Reus NJ; Ward G; Anderson RS
Ophthalmic and Physiological Optics 2013; 33: 618-624 (IGR: 15-2)


53568 How should we follow end-stage glaucoma?
Paletta Guedes RA; Paletta Guedes VM
Journal Français d'Ophtalmologie 2013; 36: 442-448 (IGR: 15-2)


52937 Automated detection of optic disk in retinal fundus images using intuitionistic fuzzy histon segmentation
Mookiah MR; Acharya UR; Chua CK; Min LC; Ng EY; Mushrif MM; Laude A
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine 2013; 227: 37-49 (IGR: 15-1)


53219 Agreement of flicker chronoscopy for structural glaucomatous progression detection and factors associated with progression
Chee RI; Silva FQ; Ehrlich JR; Radcliffe NM
American Journal of Ophthalmology 2013; 155: 983-990.e1 (IGR: 15-1)


52451 Optic nerve head morphology in young patients after antiglaucomatous filtering surgery
Panda-Jonas S; Xu L; Yang H; Wang YX; Jonas SB; Jonas JB
Acta Ophthalmologica 2014; 92: 59-64 (IGR: 15-1)


51898 Topographic Correlation between β-Zone Parapapillary Atrophy and Retinal Nerve Fiber Layer Defect
Cho BJ; Park KH
Ophthalmology 2013; 120: 528-534 (IGR: 14-4)


51394 Automated alternation flicker for the detection of optic disc haemorrhages
Syed ZA; Radcliffe NM; De Moraes CG; Smith SD; Liebmann JM; Ritch R
Acta Ophthalmologica 2012; 90: 645-650 (IGR: 14-4)


51701 Retinal vessel caliber is associated with the 10-year incidence of glaucoma: the Blue Mountains Eye Study
Kawasaki R; Wang JJ; Rochtchina E; Lee AJ; Wong TY; Mitchell P
Ophthalmology 2013; 120: 84-90 (IGR: 14-4)


51287 Peripapillary atrophy detection by sparse biologically inspired feature manifold
Cheng J; Tao D; Liu J; Wong DW; Tan NM; Wong TY; Saw SM
IEEE Transactions on Medical Imaging 2012; 31: 2355-2365 (IGR: 14-3)


50945 Optic nerve complex imaging in glaucoma Medicare beneficiaries
Swamy L; Smith S; Radcliffe NM
Ophthalmic Epidemiology 2012; 19: 249-255 (IGR: 14-3)


51190 Evaluation of Optic Nerve Head Using a Newly Developed Stereo Retinal Imaging Technique by Glaucoma Specialist and Non-Expert-Certified Orthoptist
Asakawa K; Kato S; Shoji N; Morita T; Shimizu K
Journal of Glaucoma 2013; 22: 698-706 (IGR: 14-3)


51319 Retinal Vascular Geometry and Glaucoma: The Singapore Malay Eye Study
Wu R; Cheung CY; Saw SM; Mitchell P; Aung T; Wong TY
Ophthalmology 2013; 120: 77-83 (IGR: 14-3)


49985 Performance of imaging devices versus optic disc and fiber layer photography in a clinical practice guideline for glaucoma diagnosis
Gü,erri N; Polo V; Larrosa JM; Ferreras A; Fuertes I; Pablo LE
European Journal of Ophthalmology 2012; 22: 554-562 (IGR: 14-2)


50204 Localized Glaucomatous Change Detection within the Proper Orthogonal Decomposition Framework
Balasubramanian M; Kriegman DJ; Bowd C; Holst M; Weinreb RN; Sample PA; Zangwill LM
Investigative Ophthalmology and Visual Science 2012; 53: 3615-3628 (IGR: 14-2)


50618 Multimodal Retinal Vessel Segmentation from Spectral-Domain Optical Coherence Tomography and Fundus Photography
Hu Z; Niemeijer M; Abramoff M; Garvin M
IEEE Transactions on Medical Imaging 2012; 31: 1900-1911 (IGR: 14-2)


50357 Glaucomatous optic nerve head alterations in patients with chronic heart failure
Meira-Freitas D; Melo LA; Almeida-Freitas DB; Paranhos A
Clinical Ophthalmology 2012; 6: 623-629 (IGR: 14-2)


48985 Planimetrically determined vertical cup/disc and rim width/disc diameter ratios and related factors
Tsutsumi T; Tomidokoro A; Araie M; Iwase A; Sakai H; Sawaguchi S
Investigative Ophthalmology and Visual Science 2012; 53: 1332-1340 (IGR: 14-1)


49107 The accuracy of the inferior>superior>nasal>temporal neuroretinal rim area rule for diagnosing glaucomatous optic disc damage
Morgan JE; Bourtsoukli I; Rajkumar KN; Ansari E; Cunliffe IA; North RV; Wild JM
Ophthalmology 2012; 119: 723-730 (IGR: 14-1)


47507 Corneal Hysteresis and Beta-Zone Parapapillary Atrophy
Hayes DD; Teng CC; De Moraes CG; Tello C; Liebmann JM; Ritch R
American Journal of Ophthalmology 2011; (IGR: 13-4)


47790 Digital versus film stereo-photography for assessment of the optic nerve head in glaucoma and glaucoma suspect patients
Hasanreisoglu M; Priel E; Naveh L; Lusky M; Weinberger D; Benjamini Y; Gaton DD
Journal of Glaucoma 2011; (IGR: 13-4)


47731 Optic disc dimensions and cup-disc ratios among healthy South Indians: The Chennai glaucoma study
Arvind H; George R; Raju P; Ve RS; Mani B; Kannan P; Vijaya L
Ophthalmic Epidemiology 2011; 18: 189-197 (IGR: 13-4)


48316 Myopia-related optic disc and retinal changes in adolescent children from Singapore
Samarawickrama C; Mitchell P; Tong L; Gazzard G; Lim L; Wong TY; Saw SM
Ophthalmology 2011; 118: 2050-2057 (IGR: 13-4)


46951 High resolution in vivo imaging of the lamina cribrosa
Park SC; Ritch R
Saudi Journal of Ophthalmology 2011; (IGR: 13-3)


46644 The Region of Largest (beta)-Zone Parapapillary Atrophy Area Predicts the Location of Most Rapid Visual Field Progression
Teng CC; De Moraes CG; Prata TS; Liebmann CA; Tello C; Ritch R; Liebmann JM
Ophthalmology 2011; (IGR: 13-3)


47050 Automated diagnosis of glaucoma using texture and higher order spectra features
Acharya UR; Dua S; Du X; Sree S V; Chua CK
IEEE transactions on information technology in biomedicine: a publication of the IEEE Engineering in Medicine and Biology Society 2011; 15: 449-455 (IGR: 13-3)


46806 Agreement between spectral domain optical coherence tomography and retinal nerve fiber layer photography in Chinese
Wu X-S; Xu L; Jonas JB; Zhang L; Yang H; Chen C-X
Journal of Glaucoma 2011; (IGR: 13-3)


46389 Combining Structural and Functional Measurements to Improve Detection of Glaucoma Progression using Bayesian Hierarchical Models
Medeiros FA; Leite MT; Zangwill LM; Weinreb RN
Investigative Ophthalmology and Visual Science 2011; 52: 5794-5803 (IGR: 13-3)


46195 Discus: investigating subjective judgment of optic disc damage
Denniss J; Echendu D; Henson DB; Artes PH
Optometry and Vision Science 2011; 88: 93-101 (IGR: 13-2)


46205 The 97.5th and 99.5th percentile of vertical cup disc ratio in the United States
Swanson MW
Optometry and Vision Science 2011; 88: 86-92 (IGR: 13-2)


45696 Appraisal of optic disc stereo photos pre- and post-training session
Callewaert S; Fieuws S; Stalmans I; Zeyen T
Bulletin de la Société Belge d'Ophtalmologie 2010; 316: 27-32 (IGR: 13-2)


46287 High-resolution hyperspectral imaging of the retina with a modified fundus camera
Nourrit V; Denniss J; Muqit MM; Schiessl I; Fenerty C; Stanga PE; Henson DB
Journal Français d'Ophtalmologie 2010; 33: 686-692 (IGR: 13-2)


45759 Optic disc evaluation in optic neuropathies: The optic disc assessment project
O'Neill EC; Danesh-Meyer HV; Kong GXY; Hewitt AW; Coote MA; Mackey DA; Crowston JG
Ophthalmology 2011; 118: 964-970 (IGR: 13-2)


46008 The use of HRT with and without the aid of disc photographs
Loon SC; Tong L; Gazzard G; Chan YH; Sim EL; Aung T; Tan DTH; Healey PR; Wong TY; Koh V
Journal of Glaucoma 2011; 20: 207-210 (IGR: 13-2)


45777 Comparison of Automated Analysis of Cirrus HD OCT Spectral-Domain Optical Coherence Tomography with Stereo Photographs of the Optic Disc
Sharma A; Oakley JD; Schiffman JC; Budenz DL; Anderson DR
Ophthalmology 2011; 118: 1348-1357 (IGR: 13-2)


46032 Morphometric analysis and classification of glaucomatous optic neuropathy using radial polynomials
Twa MD; Parthasarathy S; Johnson CA; Bullimore MA
Journal of Glaucoma 2011; (IGR: 13-2)


46285 Correlation of optic disc morphology and ocular perfusion parameters in patients with primary open angle glaucoma
Resch H; Schmidl D; Hommer A; Rensch F; Jonas JB; Fuchsjager-Mayrl G; Garhofer G; Vass C; Schmetterer L
Acta Ophthalmologica 2011; (IGR: 13-2)


46308 Comparison of stereo disc photographs and alternation flicker using a novel matching technology for detecting glaucoma progression
Radcliffe NM; Sehi M; Wallace IB; Greenfield DS; Krupin T; Ritch R
Ophthalmic surgery, lasers & imaging : the official journal of the International Society for Imaging in the Eye 2010; 41: 629-634 (IGR: 13-2)


45579 Patterns of Damage in Chronic Angle-Closure Glaucoma Compared to Primary Open-Angle Glaucoma
Nouri-Mahdavi K; Supawavej C; Bitrian E; Giaconi JA; Law SK; Coleman AL; Caprioli J
American Journal of Ophthalmology 2011; (IGR: 13-2)


45773 Agreement and accuracy of non-expert ophthalmologists in assessing glaucomatous changes in serial stereo optic disc photographs
Breusegem C; Fieuws S; Stalmans I; Zeyen T
Ophthalmology 2011; 118: 742-746 (IGR: 13-2)


45440 Glaucomatous optic neuropathy evaluation project: a standardized internet system for assessing skills in optic disc examination
Kong YX; Coote MA; O'Neill EC; Gurria LU; Xie J; Garway-Heath D; Medeiros FA; Crowston JG
Clinical and Experimental Ophthalmology 2011; 39: 308-317 (IGR: 13-2)


45992 Development of a resident training module for systematic optic disc evaluation in glaucoma
Law SK; Tamboli DA; Ou Y; Giaconi JAA; Caprioli J
Journal of Glaucoma 2011; (IGR: 13-2)


46238 ORIGA(-light): an online retinal fundus image database for glaucoma analysis and research
Zhang Z; Yin FS; Liu J; Wong WK; Tan NM; Lee BH; Cheng J; Wong TY
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2010; 2010: 3065-3068 (IGR: 13-2)


27822 Cup-to-disc ratio asymmetry in adolescents
De Campos MEJ; Garcia DM; Rodrigues MDLV
Arquivos Brasileiros de Oftalmologia 2010; 73: 231-234 (IGR: 13-1)


27942 Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods
Muramatsu C; Nakagawa T; Sawada A; Hatanaka Y; Hara T; Yamamoto T; Fujita H
Computer Methods and Programs in Biomedicine 2011; 101: 23-32 (IGR: 13-1)


27977 Principles and clinical applications of fundus imaging devices
Tomidokoro A
Neuro-Ophthalmology Japan 2010; 27: 243-253 (IGR: 13-1)


28095 Diagnostic assessment of normal and pale optic nerve heads by confocal scanning laser ophthalmoscope and stereophotography
Fogagnolo P; Romano S; Ranno S; Taibbi G; Pierrottet C; Ferreras A; Figus M; Rossetti L; Orzalesi N
Journal of Glaucoma 2011; 20: 10-14 (IGR: 13-1)


27836 Evidence of outer retinal changes in glaucoma patients as revealed by ultrahigh-resolution in vivo retinal imaging
Choi SS; Zawadzki RJ; Lim MC; Brandt JD; Keltner JL; Doble N; Werner JS
British Journal of Ophthalmology 2011; 95: 131-141 (IGR: 13-1)


27691 Does the Enlargement of Retinal Nerve Fiber Layer Defects Relate to Disc Hemorrhage or Progressive Visual Field Loss in Normal-tension Glaucoma?
Nitta K; Sugiyama K; Higashide T; Ohkubo S; Tanahashi T; Kitazawa Y
Journal of Glaucoma 2011; 20: 189-195 (IGR: 13-1)


27486 The role of clinical parapapillary atrophy evaluation in the diagnosis of open angle glaucoma
Ehrlich JR; Radcliffe NM
Clinical Ophthalmology 2010; 4: 971-976 (IGR: 12-4)


27008 Three-dimensional Nature of Retinal Nerve Fiber Layer Defects.
Asrani SG; Singh IP
Journal of Glaucoma 2010; 19: 592-597 (IGR: 12-4)


26977 Automated quantification of inherited phenotypes from color images: a twin study of the variability of optic nerve head shape.
Tang L; Scheetz TE; Mackey DA; Hewitt AW; Fingert JH; Kwon YH; Quellec G; Reinhardt JM; Abràmoff MD
Investigative Ophthalmology and Visual Science 2010; 51: 5870-5877 (IGR: 12-4)


27336 The relationship between the cornea and the optic disc
Kim JM; Park KH; Kim SH; Kang JH; Cho SW
Eye 2010; 24: 1653-1657 (IGR: 12-4)


27022 Adaptation of a digital camera for simultaneous stereophotography in ophthalmology.
Stingl K; Hoffmann E; Schiefer U
British Journal of Ophthalmology 2010; 94: 1288-1290 (IGR: 12-4)


27242 Principles and clinical applications of fundus imaging devices
Tomidokoro A
Neuro-Ophthalmology Japan 2010; 27: 243-253 (IGR: 12-4)


26954 Utility of digital stereo images for optic disc evaluation.
Stone RA; Ying GS; Pearson DJ; Bansal M; Puri M; Miller E; Alexander J; Piltz-Seymour J; Nyberg W; Maguire MG
Investigative Ophthalmology and Visual Science 2010; 51: 5667-5674 (IGR: 12-4)


27243 Problems and limitations of fundus imaging
Nakamura M
Neuro-Ophthalmology Japan 2010; 27: 286-294 (IGR: 12-4)


27017 Agreement among 3 methods of optic disc diameter measurement.
Rao HL; Puttaiah NK; Babu JG; Maheshwari R; Senthil S; Garudadri CS
Journal of Glaucoma 2010; 19: 650-654 (IGR: 12-4)


27198 Determinants of agreement between the confocal scanning laser tomograph and standardized assessment of glaucomatous progression
Vizzeri G; Bowd C; Weinreb RN; Balasubramanian M; Medeiros FA; Sample PA; Zangwill LM
Ophthalmology 2010; 117: 1953-1959 (IGR: 12-4)


27567 Three-dimensional imaging of the macular retinal nerve fiber layer in glaucoma with spectral-domain optical coherence tomography
Sakamoto A; Hangai M; Nukada M; Nakanishi H; Mori S; Kotera Y; Inoue R; Yoshimura N
Investigative ophthalmology & visual science 2010; 51: 5062-5070 (IGR: 12-4)


26574 Comparing the detection and agreement of parapapillary atrophy progression using digital optic disk photographs and alternation flicker
Vanderbeek BL; Smith SD; Radcliffe NM
Graefe's Archive for Clinical and Experimental Ophthalmology 2010; 248: 1313-1317 (IGR: 12-3)


26314 Analysis of peripapillary retinal nerve fiber distribution in normal young adults
Hong SW; Ahn MD; Kang SH; Im SK
Investigative Ophthalmology and Visual Science 2010; 51: 3515-3523 (IGR: 12-3)


26443 A geometric morphometric assessment of the optic cup in glaucoma
Sanfilippo PG; Cardini A; Sigal IA; Ruddle JB; Chua BE; Hewitt AW; Mackey DA
Experimental Eye Research 2010; 91: 405-414 (IGR: 12-3)


26655 Presence of an optic disc notch and glaucoma
Healey PR; Mitchell P
Journal of Glaucoma 2010; (IGR: 12-3)


26792 A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucoma
Alencar LM; Zangwill LM; Weinreb RN; Bowd C; Sample PA; Girkin CA; Liebmann JM; Medeiros FA
Investigative Ophthalmology and Visual Science 2010; 51: 3531-3539 (IGR: 12-3)


26813 Detection of retinal nerve fiber layer defects on retinal fundus images for early diagnosis of glaucoma
Muramatsu C; Hayashi Y; Sawada A; Hatanaka Y; Hara T; Yamamoto T; Fujita H
Journal of biomedical Optics 2010; 15: 016021 (IGR: 12-3)


26750 Objective and expert-independent validation of retinal image registration algorithms by a projective imaging distortion model
Lee S; Reinhardt JM; Cattin PC; Abramoff MD
Medical Image Analysis 2010; 14: 539-549 (IGR: 12-3)


26565 Disc photography and heidelberg retinal tomography documentation of reversal of cupping following trabeculectomy
Yuen D; Buys YM
Graefe's Archive for Clinical and Experimental Ophthalmology 2010; 248: 1671-1673 (IGR: 12-3)


26806 Relationship of retinal vascular tortuosity with the neuroretinal rim: the singapore malay eye study
Koh V; Cheung CY; Zheng Y; Wong TY; Wong W; Aung T
Investigative Ophthalmology and Visual Science 2010; 51: 3736-3741 (IGR: 12-3)


25974 A computer algorithm to quantitatively assess quality of digital optic disc images
Moscaritolo M; Jampel H; Zimmer-Galler I; Knezevich F; Zeimer R
Ophthalmic Surgery Lasers and Imaging 2010; 41: 279-284 (IGR: 12-2)


26001 Intelligent fusion of cup-to-disc ratio determination methods for glaucoma detection in ARGALI
Wong DW; Liu J; Lim JH; Tan NM; Zhang Z; Lu S; Li H; Teo MH; Chan KL; Wong TY
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2009; 2009: 5777-5780 (IGR: 12-2)


26000 Convex hull based neuro-retinal optic cup ellipse optimization in glaucoma diagnosis
Zhang Z; Liu J; Cherian NS; Sun Y; Lim JH; Wong WK; Tan NM; Lu S; Li H; Wong TY
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2009; 2009: 1441-1444 (IGR: 12-2)


25955 A novel method for blood vessel detection from retinal images
Xu L; Luo S
Biomedical engineering online 2010; 9: 14 (IGR: 12-2)


25932 Glaucoma risk index: Automated glaucoma detection from color fundus images
Bock R; Meier J; Nyul LG; Hornegger J; Michelson G
Medical Image Analysis 2010; 14: 471-481 (IGR: 12-2)


26087 Long-term follow-ups of patients with glaucoma with digital planimetry
Raum C; Viestenz A; Mardin CY
Klinische Monatsblätter für Augenheilkunde 2010; 227: 215-220 (IGR: 12-2)


26133 Clinical assessment of stereoscopic optic disc photographs for glaucoma: the European Optic Disc Assessment Trial
Reus NJ; Lemij HG; Garway-Heath DF; Airaksinen PJ; Anton A; Bron AM; Faschinger C; Holló G; Iester M; Jonas JB
Ophthalmology 2010; 117: 717-723 (IGR: 12-2)


26212 Glaucomatous progression in series of stereoscopic photographs and Heidelberg retina tomograph images
O'Leary N; Crabb DP; Mansberger SL; Fortune B; Twa MD; Lloyd MJ; Kotecha A; Garway-Heath DF; Cioffi GA; Johnson CA
Archives of Ophthalmology 2010; 128: 560-568 (IGR: 12-2)


26260 Patterns of progression of localized retinal nerve fibre layer defect on red-free fundus photographs in normal-tension glaucoma
Suh MH; Kim DM; Kim YK; Kim TW; Park KH
Eye 2010; 24: 857-863 (IGR: 12-2)


25536 An image based auto-focusing algorithm for digital fundus photography.
Moscaritolo M; Jampel H; Knezevich F; Zeimer R
IEEE Transactions on Medical Imaging 2009; 28: 1703-1707 (IGR: 12-1)


25122 Correlation of Disc Morphology Quantified on Stereophotographs to Results by Heidelberg Retina Tomograph II, GDx Variable Corneal Compensation, and Visual Field Tests
Saito H; Tsutsumi T; Iwase A; Tomidokoro A; Araie M
Ophthalmology 2010; 117: 282-289 (IGR: 12-1)


25097 The sensitivity and specificity of Heidelberg Retina Tomograph parameters to glaucomatous progression in disc photographs
Saarela V; Falck A; Airaksinen PJ; Tuulonen A
British Journal of Ophthalmology 2010; 94: 68-73 (IGR: 12-1)


25035 Violation of the ISNT rule in Nonglaucomatous pediatric optic disc cupping
Pogrebniak AE; Wehrung B; Pogrebniak KL; Shetty RK; Crawford P
Investigative Ophthalmology and Visual Science 2010; 51: 890-895 (IGR: 12-1)


25302 Automated diagnosis of glaucoma using digital fundus images
Nayak J; Acharya U R; Bhat P S; Shetty N; Lim T -C
Journal of Medical Systems 2009; 33: 337-346 (IGR: 12-1)


25009 Optic nerve head changes in early glaucoma: a comparison between stereophotography and Heidelberg retina tomography
Pablo LE; Ferreras A; Fogagnolo P; Figus M; Pajarin AB
Eye 2010; 24: 123-130 (IGR: 12-1)


25244 Agreement for Detecting Glaucoma Progression with the GDx Guided Progression Analysis, Automated Perimetry, and Optic Disc Photography
Alencar LM; Zangwill LM; Weinreb RN; Bowd C; Vizzeri G; Sample PA; Susanna R Jr; Medeiros FA
Ophthalmology 2010; 117: 462-470 (IGR: 12-1)


24691 Concordance of flicker comparison versus side-by-side comparison in glaucoma
Cymbor M; Lear L; Mastrine M
Optometry 2009; 80: 437-441 (IGR: 11-4)


24574 Assessment of optic nerve cup-to-disk ratio changes in patients receiving multiple intravitreal injections of antivascular endothelial growth factor agents
Seth RK; Salim S; Shields MB; Adelman RA
Retina (Philadelphia, Pa.) 2009; 29: 956-959 (IGR: 11-4)


24726 Clinical application of panoramic 200 in checking fundus diseases of glaucoma
Xu Q-H; Chen H-Y
International Journal of Ophthalmology 2009; 9: 1581-1582 (IGR: 11-4)


24834 Measurement of optic nerve head parameters: comparison of optical coherence tomography with digital planimetry
Samarawickrama C; Pai A; Huynh SC; Burlutsky G; Jonas JB; Mitchell P
Journal of Glaucoma 2009; 18: 571-575 (IGR: 11-4)


24604 Optic disc photography and retinal nerve fiber layer photography
Hoffmann EM
Ophthalmologe 2009; 106: 683-686 (IGR: 11-4)


24765 Clinical applications of Scheimpflug imaging
Grewal DS; Grewal SPS
Expert Review of Ophthalmology 2009; 4: 243-258 (IGR: 11-4)


24827 Comparison of clinical and spectral domain optical coherence tomography optic disc margin anatomy
Strouthidis NG; Yang H; Reynaud JF; Grimm JL; Gardiner SK; Fortune B; Burgoyne CF
Investigative Ophthalmology and Visual Science 2009; 50: 4709-4718 (IGR: 11-4)


24870 Prediction of functional loss in glaucoma from progressive optic disc damage
Medeiros FA; Alencar LM; Zangwill LM; Bowd C; Sample PA; Weinreb RN
Archives of Ophthalmology 2009; 127: 1250-1256 (IGR: 11-4)


24301 The segmentation of zones with increased autofluorescence in the junctional zone of parapapillary atrophy
Kolar R; Laemmer R; Jan J; Mardin CY
Physiological Measurement 2009; 30: 505-516 (IGR: 11-3)


24441 Morphological characteristics of neuroretinal rim loss in the course of primary open angle glaucoma and its clinical significance
Dai J; Wang H-G
International Journal of Ophthalmology 2009; 9: 1099-1100 (IGR: 11-3)


24449 Fundus examination analysis of 313 infants with RetCam II
Li L-M; Li T-P; Lin H-J; Zhang G-H; Zhang M-Z
International Journal of Ophthalmology 2009; 9: 950-952 (IGR: 11-3)


24226 Comparison of B-scan sonographic measurements of optic cup with fundus photographic measurements
Ali NAM; Subrayan V; Reddy SC; Othman F
Journal of Clinical Ultrasound 2009; 37: 285-289 (IGR: 11-3)


23602 Level-set based automatic cup-to-disc ratio determination using retinal fundus images in ARGALI
Wong DK; Liu J; Lim JH; Jia X; Yin F; Li H; Wong TY
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008; 2266-2269 (IGR: 11-2)


23688 Ophthalmic imaging today: an ophthalmic photographer's viewpoint - a review
Bennett TJ; Barry CJ
Clinical and Experimental Ophthalmology 2009; 37: 2-13 (IGR: 11-2)


23543 Digital images of the retinal nerve fiber layer in healthy eye and in glaucoma
Kubena T; Klimesove K; Kofronove M; Cernosek P
?eska a Slovenska Oftalmologie 2009; 65: 3-7 (IGR: 11-2)


23520 Quantitative depth analysis of optic nerve head using stereo retinal fundus image pair
Nakagawa T; Suzuki T; Hayashi Y; Mizukusa Y; Hatanaka Y; Ishida K; Hara T; Fujita H; Yamamoto T
Journal of biomedical Optics 2008; 13: 064026 (IGR: 11-2)


23826 Variance owing to observer, repeat imaging, and fundus camera type on cup-to-disc ratio estimates by stereo planimetry
Kwon YH; Adix M; Zimmerman MB; Piette S; Greenlee EC; Alward WL; Abràmoff MD
Journal of Glaucoma 2009; 18: 305-310 (IGR: 11-2)


23955 Optic disc progression in glaucoma: comparison of confocal scanning laser tomography to optic disc photographs in a prospective study
Chauhan BC; Hutchison DM; Artes PH; Caprioli J; Jonas JB; Leblanc RP; Nicolela MT
Investigative Ophthalmology and Visual Science 2009; 50: 1682-1691 (IGR: 11-2)


22514 Assessment of cup-to-disc ratio with slit-lamp funduscopy, Heidelberg Retina Tomography II, and stereoscopic photos
Durmus M; Karadag R; Erdurmus M; Totan Y; Feyzi Hepsen I
European Journal of Ophthalmology 2009; 19: 55-60 (IGR: 11-1)


22581 Agreement among glaucoma specialists in assessing progressive disc changes from photographs in open-angle glaucoma patients
Jampel HD; Friedman D; Quigley H; Vitale S; Miller R; Knezevich F; Ding Y
American Journal of Ophthalmology 2009; 147: 39-44 (IGR: 11-1)


23385 Comparison of quantitative imaging devices and subjective optic nerve head assessment by general ophthalmologists to differentiate normal from glaucomatous eyes
Vessani RM; Moritz R; Batis L; Zagui RB; Bernardoni S; Susanna R
Journal of Glaucoma 2009; 18: 253-261 (IGR: 11-1)


22526 Agreement between optical coherence tomography and digital stereophotography in vertical cup-to-disc ratio measurement
Savini G; Espana EM; Acosta AC; Carbonelli M; Bellusci C; Barboni P
Graefe's Archive for Clinical and Experimental Ophthalmology 2009; 247: 377-383 (IGR: 11-1)


22670 Clinicians agreement in establishing glaucomatous progression using the Heidelberg retina tomograph
Vizzeri G; Weinreb RN; Martinez De La Casa JM; Alencar LM; Bowd C; Balasubramanian M; Medeiros FA; Sample P; Zangwill LM
Ophthalmology 2009; 116: 14-24 (IGR: 11-1)


21595 Assessment of stereoscopic optic disc images using an autostereoscopic screen - Experimental study
Habib MS; Lowell JA; Holliman NS; Hunter A; Vaideanu D; Hildreth A; Steel DHW
BMC Ophthalmology 2008; 8: 13 (IGR: 10-3)


21360 3D vs 2D qualitative and semiquantitative evaluation of the glaucomatous optic disc atrophy using computer-assisted stereophotography
Lehmann MV; Mardin CY; Martus P; Bergua A
Eye 2008; 22: 628-635 (IGR: 10-2)


21005 Overlapping of retinal nerve fibers in the horizontal plane
Jeoung JW; Kim TW; Kang KB; Lee JJ; Park KH; Kim DM
Investigative Ophthalmology and Visual Science 2008; 49: 1753-1757 (IGR: 10-2)


21141 Quantitative assessment of optic nerve head pallor
Vilser W; Nagel E; Seifert BU; Riemer T; Weisensee J; Hammer M
Physiological Measurement 2008; 29: 451-457 (IGR: 10-2)


21381 Automated assessment of the optic nerve head on stereo disc photographs
Xu J; Ishikawa H; Wollstein G; Bilonick RA; Sung KR; Kagemann L; Townsend KA; Schuman JS
Investigative Ophthalmology and Visual Science 2008; 49: 2512-2517 (IGR: 10-2)


21236 3-D retinal surface inference: Stereo or monocular fundus camera?
Martinello M; Favaro P; Muyo Nieto GD; Harvey AR; Grisan E; Scarpa F; Ruggeri A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007; 2007: 896-899 (IGR: 10-2)


21149 Evaluation of a new scoring system for retinal nerve fiber layer photography using HRA1 in 964 eyes
Hong S; Moon JW; Ha SJ; Kim CY; Seong GJ; Hong YJ
Korean Journal of Ophthalmology 2007; 21: 216-221 (IGR: 10-2)


21235 Segmentation of optic nerve head using warping and RANSAC
Kim SK; Kong HJ; Seo JM; Cho BJ; Park KH; Hwang JM; Kim DM; Chung H; Kim HC
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007; 2007: 900-903 (IGR: 10-2)


21188 DICOM transmission of simultaneous stereoscopic images of the optic nerve in patients with glaucoma
Khouri AS; Szirth BC; Salti HI; Fechtner RD
Journal of Telemedicine and Telecare 2007; 13: 337-340 (IGR: 10-2)


21013 Comparison of HRT-3 glaucoma probability score and subjective stereophotograph assessment for prediction of progression in glaucoma
Alencar LM; Bowd C; Weinreb RN; Zangwill LM; Sample PA; Medeiros FA
Investigative Ophthalmology and Visual Science 2008; 49: 1898-1906 (IGR: 10-2)


20761 The morphology of the optic nerve head in the Singaporean Chinese population (the Tanjong Pagar study): part 1--Optic nerve head morphology
Bourne RR; Foster PJ; Bunce C; Peto T; Hitchings RA; Khaw PT; Seah SK; Garway-Heath DF
British Journal of Ophthalmology 2008; 92: 303-309 (IGR: 10-1)


20776 The morphology of the optic nerve head in the Singaporean Chinese population (the Tanjong Pagar study): part 2--Biometric and systemic associations
Bourne RR; Foster PJ; Bunce C; Peto T; Hitchings RA; Khaw PT; Seah SK; Garway-Heath DF
British Journal of Ophthalmology 2008; 92: 310-314 (IGR: 10-1)


20436 The heritability of optic disc parameters: a classic twin study
Healey P; Carbonaro F; Taylor B; Spector TD; Mitchell P; Hammond CJ
Investigative Ophthalmology and Visual Science 2008; 49: 77-80 (IGR: 10-1)


20580 DARC: A new method for detecting progressive neuronal death
Cordeiro MF
Eye 2007; 21: S15-S17 (IGR: 10-1)


20302 Retinal vessel diameter in normal and glaucomatous eyes: the Beijing eye study
Wang S; Xu L; Wang Y; Jonas JB
Clinical and Experimental Ophthalmology 2007; 35: 800-807 (IGR: 10-1)


20562 Detection of glaucomatous change based on vessel shape analysis
Matsopoulos GK; Asvestas PA; Delibasis KK; Mouravliansky NA; Zeyen TG
Computerized Medical Imaging and Graphics 2008; 32: 183-192 (IGR: 10-1)


20104 Relationship of retinal vascular caliber with optic disc diameter in children
Cheung N; Tong L; Tikellis G; Saw SM; Mitchell P; Wang JJ; Wong TY
Investigative Ophthalmology and Visual Science 2007; 48: 4945-4948 (IGR: 9-4)


19969 Optic disk and nerve fiber layer imaging to detect glaucoma
Badalà F; Nouri-Mahdavi K; Raoof DA; Leeprechanon N; Law SK; Caprioli J
American Journal of Ophthalmology 2007; 144: 724-732 (IGR: 9-4)


19551 A pilot study to detect glaucoma with confocal scanning laser ophthalmoscopy compared with nonmydriatic stereoscopic photography in a community health screening
Ohkubo S; Takeda H; Higashide T; Sasaki T; Sugiyama K
Journal of Glaucoma 2007; 16: 531-538 (IGR: 9-3)


19500 Shape of the neuroretinal rim and its correlations with ocular and general parameters in adult chinese: the beijing eye study
Wang Y; Xu L; Jonas JB
American Journal of Ophthalmology 2007; 144: 462-464 (IGR: 9-3)


17554 Progress towards automated detection and characterization of the optic disc in glaucoma and diabetic retinopathy
Abdel-Ghafar RA; Morris T
Medical Informatics and the Internet in Medicine 2007; 32: 19-25 (IGR: 9-2)


18225 Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features
Abràmoff MD; Alward WL; Greenlee EC; Shuba L; Kim CY; Fingert JH; Kwon YH
Investigative Ophthalmology and Visual Science 2007; 48: 1665-1673 (IGR: 9-2)


19242 Influence of intraocular pressure on retinal vascular caliber measurements in children
de Haseth K; Cheung N; Saw SM; Islam FM; Mitchell P; Wong TY
American Journal of Ophthalmology 2007; 143: 1040-1042 (IGR: 9-2)


18127 Comparison of localized retinal nerve fiber layer defects between a low-teen intraocular pressure group and a high-teen intraocular pressure group in normal-tension glaucoma patients
Kim DM; Seo JH; Kim SH; Hwang SS
Journal of Glaucoma 2007; 16: 293-296 (IGR: 9-2)


17482 A study on correlation between the disc damage likelihood scale and visual field damage in glaucoma
Xia X-B; Zhou X; Xiong S-Q; Song W-T; Huang P-G
International Journal of Ophthalmology 2007; 7: 305-308 (IGR: 9-2)


18195 Comparison of optic nerve head topography in healthy adults using a Heidelberg retina tomograph and retinal thickness analyzer
Rekic A; Breznik M; Cvenkel B
International Ophthalmology 2007; 27: 1-9 (IGR: 9-2)


17023 The optic nerve head in myocilin glaucoma
Hewitt AW; Bennett SL; Fingert JH; Cooper RL; Stone EM; Craig JE; Mackey DA
Investigative Ophthalmology and Visual Science 2007; 48: 238-243 (IGR: 9-1)


17020 Association of retinal vessel caliber to optic disc and cup diameters
Lee KE; Klein BE; Klein R; Meuer SM
Investigative Ophthalmology and Visual Science 2007; 48: 63-67 (IGR: 9-1)


17021 Measurement of retinal vascular caliber: issues and alternatives to using the arteriole to venule ratio
Liew G; Sharrett AR; Kronmal R; Klein R; Wong TY; Mitchell P; Kifley A; Wang JJ
Investigative Ophthalmology and Visual Science 2007; 48: 52-57 (IGR: 9-1)


17079 Comparison of digital and film stereo photography of the optic nerve in the evaluation of patients with glaucoma
Khouri AS; Szirth B; Realini T; Fechtner RD
Telemedicine Journal and E-Health: the Official Journal of the American Telemedicine Association 2006; 12: 632-638 (IGR: 9-1)


16845 Comparison of glaucoma progression evaluated with Heidelberg retina tomograph II versus optic nerve head stereophotographs
Kourkoutas D; Buys YM; Flanagan JG; Hatch WV; Balian C; Trope GE
Canadian Journal of Ophthalmology 2007; 42: 82-88 (IGR: 9-1)


16875 Agreement between stereophotographic and confocal scanning laser ophthalmoscopy measurements of cup/disc ratio: Effect on a predictive model for glaucoma development
Medeiros FA; Zangwill LM; Bowd C; Vasile C; Sample PA; Weinreb RN
Journal of Glaucoma 2007; 16: 209-214 (IGR: 9-1)


16780 Accuracy of GDx VCC, HRT I, and clinical assessment of stereoscopic optic nerve head photographs for diagnosing glaucoma
Reus NJ; de Graaf M; Lemij HG
British Journal of Ophthalmology 2007; 91: 313-318 (IGR: 9-1)


16925 High myopia and glaucoma susceptibility the Beijing Eye Study
Xu L; Wang S; Wang Y; Jonas JB
Ophthalmology 2007; 114: 216-220 (IGR: 9-1)


17160 Assessment of change of optic nerve head cupping in pediatric glaucoma using the RetCam 120
Erraguntla V; MacKeen LD; Atenafu E; Stephens D; Buncic JR; Budning AS; Levin AV
Journal of AAPOS 2006; 10: 528-533 (IGR: 9-1)


15097 Microtubule contribution to the reflectance of the retinal nerve fiber layer
Huang XR; Knighton RW; Cavuoto LN
Investigative Ophthalmology and Visual Science 2006; 47: 5363-5367 (IGR: 8-4)


15072 Optic nerve head parameters of an indigenous population living within Central Australia
Landers JA; Henderson TR; Craig JE
Clinical and Experimental Ophthalmology 2006; 34: 852-856 (IGR: 8-4)


14534 Auto-adjusted 3-D optic disk viewing from low-resolution stereo fundus image
Xu J; Chutatape O
Computers in Biology and Medicine 2006; 36: 921-940 (IGR: 8-4)


15077 How to assess the stability of glaucoma? Optic nerve
Renard J-P
Journal Français d'Ophtalmologie 2006; 29: 27-31 (IGR: 8-4)


15170 Detection and prognostic significance of optic disc hemorrhages during the Ocular Hypertension Treatment Study
Budenz DL; Anderson DR; Feuer WJ; Beiser JA; Schiffman J; Parrish RK 2nd; Piltz-Seymour JR; Gordon MO; Kass MA; Ocular Hypertension Treatment Study Group
Ophthalmology 2006; 113: 2137-2143 (IGR: 8-4)


15208 The ISNT rule and differentiation of normal from glaucomatous eyes
Harizman N; Oliveira C; Chiang A; Tello C; Marmor M; Ritch R; Liebmann JM
Archives of Ophthalmology 2006; 124: 1579-1583 (IGR: 8-4)


15111 Time-multiplexing stereophotography: 2D and 3D qualitative and semiquantitative evaluation of glaucomatous optic disc atrophy
Lehmann MV; Mardin CY; Lausen B; Reulbach U; Bergua A
Journal Français d'Ophtalmologie 2006; 29: 916-923 (IGR: 8-4)


14100 The association between glaucomatous visual fields and optic nerve head features in the Ocular Hypertension Treatment Study
Keltner JL; Johnson CA; Anderson DR; Levine RA; Fan J; Cello KE; Quigley HA; Budenz DL; Parrish RK; Kass MA
Ophthalmology 2006; 113: 1603-1612 (IGR: 8-3)


14053 Discrimination between glaucomatous and nonglaucomatous eyes using quantitative imaging devices and subjective optic nerve head assessment
Deleon-Ortega JE; Arthur SN; McGwin G Jr; Xie A; Monheit BE; Girkin CA
Investigative Ophthalmology and Visual Science 2006; 47: 3374-3380 (IGR: 8-3)


13783 Relationship between central corneal thickness and localized retinal nerve fiber layer defect in normal-tension glaucoma
Choi HJ; Kim DM; Hwang SS
Journal of Glaucoma 2006; 15: 120-123 (IGR: 8-2)


13792 Comparison of disc damage likelihood scale, cup to disc ratio, and Heidelberg retina tomograph in the diagnosis of glaucoma
Danesh-Meyer HV; Gaskin BJ; Jayusundera T; Donaldson M; Gamble GD
British Journal of Ophthalmology 2006; 90: 437-441 (IGR: 8-2)


13797 Comparability of cup and disk diameters measured from nonstereoscopic digital and stereoscopic film images
Ewen A; Lee KE; Klein BE; Klein R
American Journal of Ophthalmology 2006; 141: 1126-1128 (IGR: 8-2)


13828 Agreement in assessing cup-to-disc ratio measurement among stereoscopic optic nerve head photographs, HRT II, and Stratus OCT
Arthur SN; Aldridge AJ; Leon-Ortega JD; McGwin G; Xie A; Girkin CA
Journal of Glaucoma 2006; 15: 183-189 (IGR: 8-2)


13827 Correlation between topographic profiles of localized retinal nerve fiber layer defects as determined by optical coherence tomography and red-free fundus photography
Hwang JM; Kim TW; Park KH; Kim DM; Kim H
Journal of Glaucoma 2006; 15: 223-228 (IGR: 8-2)


13639 Comparison of optical coherence tomography and fundus photography for measuring the optic disc size
Neubauer AS; Krieglstein TR; Chryssafis C; Thiel M; Kampik A
Ophthalmic and Physiological Optics 2006; 26: 13-18 (IGR: 8-2)


13258 Correlation of confocal laser scanning tomography with planimetric photographic measurements of the optic disc in a normal South Indian population: The vellore eye study
Thomas R; George R; Muliyil J; Jonas JB
Indian Journal of Ophthalmology 2005; 53: 289-294 (IGR: 8-1)


13439 Three-dimensional optic disc visualisation from stereo images via dual registration and ocular media optical correction
Xu J; Chutatape O; Zheng C; Kuan PC
British Journal of Ophthalmology 2006; 90: 181-185 (IGR: 8-1)


13506 Retinal nerve fiber layer analysis in the diagnosis of glaucoma
Zangwill LM; Bowd C
Current Opinions in Ophthalmology 2006; 17: 120-131 (IGR: 8-1)


13050 Assessment of optic disc cupping with digital fundus photographs
Constantinou M; Ferraro JG; Lamoureux EL; Taylor HR
American Journal of Ophthalmology 2005; 140: 529-31 (IGR: 7-3)


13036 The influence of pharmacological mydriasis on biomicroscopic evaluation of the glaucomatous optic nerve head
O'Brien PD; Bogdan AJ; Fitzpatrick P; Beatty S
Eye 2005; 19: 1194-1199 (IGR: 7-3)


13056 Test-retest reproducibility of optic disk deterioration detected from stereophotographs by masked graders
Parrish RK 2nd; Schiffman JC; Feuer WJ; Anderson DR; Budenz DL; Wells-Albornoz MC; Vandenbroucke R; Kass MA; Gordon MO; Ocular Hypertension Treatment Study Group
American Journal of Ophthalmology 2005; 140: 762-764 (IGR: 7-3)


12674 Optic disc characteristics assessed by evaluation of clinical optic disc photographs in glaucoma patients
Ohguro I; Ohguro H; Ohkuro H; Nakazawa M
Hirosaki Medical Journal 2005; 57: 27-34 (IGR: 7-3)


12731 Comparison of optic disc evaluation by fundus photograph and Heidelberg Retina Tomograph II
Sugimoto E; Sone T; Tsukamoto H; Minamoto A; Matsuyama S; Kanamoto T; Hirayama T; Nomura M; Tomita G; Mishima HK
Japanese Journal of Clinical Ophthalmology 2005; 59: 939-942 (IGR: 7-3)


12732 Digitizing stereoscopic optic nerve head photographs for storage and viewing using a personal computer
Nesher R; Zacharopoulos I; Assia EI; Schuman JS
Ophthalmic Surgery Lasers and Imaging 2005; 36: 327-330 (IGR: 7-3)


12460 Discrimination of glaucomatous optic neuropathy by digital stereoscopic analysis
Morgan JE; Sheen NJ; North RV; Goyal R; Morgan S; Ansari E; Wild JM
Ophthalmology 2005; 112: 855-862 (IGR: 7-2)


12317 Agreement between stereoscopic photographs, clinical assessment, Heidelberg retina tomograph and digital stereoscopic optic disc camera in estimating vertical cup:disc ratio
Jayasundera T; Danesh-Meyer HV; Donaldson M; Gamble G
Clinical and Experimental Ophthalmology 2005; 33: 259-263 (IGR: 7-2)


12377 Use of progressive glaucomatous optic disk change as the reference standard for evaluation of diagnostic tests in glaucoma
Medeiros FA; Zangwill LM; Bowd C; Sample PA; Weinreb RN
American Journal of Ophthalmology 2005; 139: 1010-1018 (IGR: 7-2)


11767 Differences in optic disc topography between black and white normal subjects
Girkin CA; McGwin G Jr; Xie A; Deleon-Ortega J
Ophthalmology 2005; 112: 33-39 (IGR: 7-1)


11978 Glaucoma without cupping
Sherman J; Bass SJ; Slotnick S
Optometry 2004; 75: 677-708 (IGR: 7-1)


11671 Knowledge of chronology of optic disc stereophotographs influences the determination of glaucomatous change
Altangerel U; Bayer A; Henderer JD; Katz LJ; Steinmann WC; Spaeth GL
Ophthalmology 2005; 112: 40-43 (IGR: 7-1)


11245 Visibility of lamina cribrosa pores and open-angle glaucoma
Healey PR; Mitchell P
American Journal of Ophthalmology 2004; 138: 871-872 (IGR: 6-3)


11246 Ethnic variability of the vasculature of the optic disc in normal and glaucomatous eyes
Nagasubramanian S; Weale RA
European Journal of Ophthalmology 2004; 14: 501-507 (IGR: 6-3)


11244 Digital stereoscopic analysis of the optic disc: evaluation of a teaching program
Sheen NJ; Morgan JE; Poulsen JL; North RV
Ophthalmology 2004; 111: 1873-1879 (IGR: 6-3)


11490 Detection of optic disc in retinal images by means of a geometrical model of vessel structure
Foracchia M; Grisan E; Ruggeri A
IEEE Transactions on Medical Imaging 2004; 23: 1189-1195 (IGR: 6-3)


10758 Comparison of scanning laser polarimetry using variable corneal compensation and retinal nerve fiber layer photography for detection of glaucoma
Medeiros FA; Zangwill LM; Bowd C; Mohammadi K; Weinreb RN
Archives of Ophthalmology 2004; 122: 698-704 (IGR: 6-2)


10600 The effect of optic disc diameter on vertical cup to disc ratio percentiles in a population based cohort: the Blue Mountains Eye Study
Crowston JG; Hopley CR; Healey PR; Lee A; Mitchell P; Blue Mountains Eye Study Group
British Journal of Ophthalmology 2004; 88: 766-70 (IGR: 6-2)


10648 Digital analysis of the optic disc with fundus camera: a study of variability
Gili Manzanaro P; Carrasco Font C; Martin Rodrigo JC; Yanguela Rodilla J; Arias Puente A
Archivos de la Sociedad Española de Oftalmologia 2004; 79: 125-30 (IGR: 6-2)


10787 Digital planimetry for long-term follow-up of glaucomatous optic disk injuries in patients with normal pressure glaucoma
Nguyen NX; Meindl C; Horn FK; Dzialach M; Langenbucher A; Junemann A; Mardin CY
Ophthalmologe 2004; 101: 589-94 (IGR: 6-2)


10256 The optic disc hemifield test
Jonas JB; Budde WM; Martus P
Journal of Glaucoma 2004; 13: 108-113 (IGR: 6-1)


10263 Alterations in the morphology of lamina cribrosa pores in glaucomatous eyes
Tezel G; Trinkaus K; Wax MB
British Journal of Ophthalmology 2004; 88: 251-256 (IGR: 6-1)


9699 Clinical agreement among glaucoma experts in the detection of glaucomatous changes of the optic disc using simultaneous stereoscopic photographs
Azuara-Blanco A; Katz LJ; Spaeth GL; Vernon SA; Spencer F; Lanzl IM
American Journal of Ophthalmology 2003; 136: 949-950 (IGR: 5-3)


9692 Rate of optic disc cup progression in treated primary open-angle glaucoma
Kwon YH; Kim YI; Pereira ML; Montague PR; Zimmerman MB; Alward WL
Journal of Glaucoma 2003; 12: 409-416 (IGR: 5-3)


9080 Comparison of localised nerve fibre layer defects in normal tension glaucoma and primary open angle glaucoma
Woo SJ; Park KH; Kim DM
British Journal of Ophthalmology 2003; 87: 695-698 (IGR: 5-2)


9097 Comparison of optic nerve head assessment with a digital stereoscopic camera (discam), scanning laser ophthalmoscopy, and stereophotography
Correnti AJ; Wollstein G; Price LL; Schuman JS
Ophthalmology 2003; 110: 1499-1505 (IGR: 5-2)


9102 Picture archiving and fundus imaging in a glaucoma clinic
Lamminen H
Journal of Telemedicine and Telecare 2003; 9: 114-116 (IGR: 5-2)


9091 A new fundus camera technique to help calculate eye-camera magnification: a rapid means to measure disc size
Quigley MG; Dube P
Archives of Ophthalmology 2003; 121: 707-709 (IGR: 5-2)


9099 Vertical cup to disc ratio: Agreement between direct ophthalmoscopic estimation, fundus biomicroscopic estimation, and scanning laser ophthalmoscopic measurement
Watkins R; Panchal L; Uddin J; Gunvant P
Optometry and Vision Science 2003; 80: 454-459 (IGR: 5-2)


8614 Acutance, an objective measure of retinal nerve fibre image clarity
Choong YF; Rakebrandt F; North RV; Morgan JE
British Journal of Ophthalmology 2003; 87: 322-326 (IGR: 5-1)


8400 Reliability of the disc damage likelihood scale
Henderer JD; Liu C; Kesen M; Altangerel U; Bayer A; Steinmann WC; Spaeth GL
American Journal of Ophthalmology 2003; 135: 44-48 (IGR: 5-1)


8401 Optic disc morphology in south India: the Vellore Eye Study
Jonas JB; Thomas R; George R; Berenshtein E; Muliyil J
British Journal of Ophthalmology 2003; 87: 189-196 (IGR: 5-1)


8407 Increased disc size in glaucomatous eyes vs normal eyes in the Reykjavik eye study
Wang L; Damji KF; Munger R; Jonasson F; Arnarsson A; Sasaki H; Sasaki K
American Journal of Ophthalmology 2003; 135: 226-228 (IGR: 5-1)


8406 Reproducibility of evaluation of optic disc change for glaucoma with stereo optic disc photographs
Zeyen T; Miglior S; Pfeiffer N; Cunha-Vaz J; Adamsons I; European Glaucoma Prevention Study Group
Ophthalmology 2003; 110: 340-344 (IGR: 5-1)


8414 Optic disc imaging in conscious rats and mice
Cohan BE; Pearch AC; Jokelainen PT; Bohr DF
Investigative Ophthalmology and Visual Science 2003; 44: 160-163 (IGR: 5-1)


8260 Comparison of two grading methods to evaluate focal narrowing of retinal arterioles in glaucoma
Boehm AG; Bowd C; Vasile C; El-Beltagi TA; Booth M; Zangwill LM; Weinreb RN
Graefe's Archive for Clinical and Experimental Ophthalmology 2002; 240: 810-815 (IGR: 4-3)


8271 Progression of retinal nerve fibre layer damage in betaxolol- and timolol-treated glaucoma patients
Vainio-Jylhä E; Vuori ML; Nummelin K
Acta Ophthalmologica Scandinavica 2002; 80: 495-500 (IGR: 4-3)


8227 Comparison of clinical optic disc assessment with tests of early visual field loss
Landers JA; Goldberg I; Graham SL
Clinical and Experimental Ophthalmology 2002; 30: 338-342 (IGR: 4-3)


3420 Differences by quadrant of retinal nerve fiber layer thickness in healthy eyes
Takamoto T; Schwartz B
Journal of Glaucoma 2002; 11: 359-364 (IGR: 4-2)


3426 Validity of a new disk grading scale for estimating glaucomatous damage: correlation with visual field damage
Bayer A; Harasymowycz P; Henderer JD; Steinmann WG; Spaeth GL
American Journal of Ophthalmology 2002; 133: 758-763 (IGR: 4-2)


3700 A morphological study of neuroretinal rim for different types of optic disc in normal eyes and early glaucoma
Xu L; Xia C; Yang H
Chinese Journal of Ophthalmology 2002; 38: 325-328 (IGR: 4-2)


6638 Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma
Greaney MJ; Hoffman DC; Garway Heath DF; Nakla M; Coleman AL; Caprioli J
Investigative Ophthalmology and Visual Science 2002; 43: 140-145 (IGR: 4-1)


6644 Retinal nerve fiber layer analysis: relationship between optical coherence tomography and red-free photography
Soliman MAE; Van Den Berg TJTP; Ismaeil Al Araby A; de Jong LAMS; de Smet MD
American Journal of Ophthalmology 2002; 133: 187-195 (IGR: 4-1)


6649 The Ocular Hypertension Treatment Study: reproducibility of cup/disc ratio measurements over time at an optic disc reading center
Feuer WJ; Parrish RK; Schiffman JC; Anderson DR; Budenz DL; Wells MC; Hess DJ; Kass MA; Gordon MO
American Journal of Ophthalmology 2002; 133: 19-28 (IGR: 4-1)


6650 Observer experience and Cup:Disc ratio assessment
Hanson S; Krishnan SK; Phillips J
Optometry and Vision Science 2001; 78: 701-705 (IGR: 4-1)


6652 Comparing ophthalmoscopy, slide viewing, and semiautomated systems in optic disc morphometry
Ikram MK; Borger PH; Assink JJM; Jonas JB; Hofman A; de Jong PTVM
Ophthalmology 2002; 109: 486-493 (IGR: 4-1)


6654 Agreement in assessing optic discs with a digital stereoscopic optic disc camera (Discam) and Heidelberg retina tomograph
Sung VCT; Bhan A; Vernon SA
British Journal of Ophthalmology 2002; 86: 196-202 (IGR: 4-1)


6747 Clinician change detection viewing longitudinal stereophotographs compared to confocal scanning laser tomography in the LSU Experimental Glaucoma (LEG) Study
Ervin JC; Lemij HG; Mills RP; Quigley HA; Thompson HW; Burgoyne CF
Ophthalmology 2002; 109: 467-481 (IGR: 4-1)


6748 The St Gallen digital ophthalmological imaging system
Torok B; Bischoff P
Klinische Monatsblätter für Augenheilkunde 2002; 219: 306-310 (IGR: 4-1)


18458 Timolol increased retrobulbar flow velocities in untreated glaucoma eyes but not in ocular hypertension
Bergstrand IC; Heijl A; Wollmer P; Hansen F; Harris A
Acta Ophthalmologica Scandinavica 2001; 79: 455-461 (IGR: 3-3)


18457 The influence of sex difference in measurements with the Langham ocular blood flow system
Gekkieva M; Orgül S; Gherghel D; Gugleta K; Prünte C; Flammer J
Japanese Journal of Ophthalmology 2001; 45: 528-532 (IGR: 3-3)


18456 Retrobulbar blood flow in glaucoma patients with nocturnal over-dipping in systemic blood pressure
Gherghel D; Orgül S; Gugleta K; Flammer J
American Journal of Ophthalmology 2001; 132: 641-647 (IGR: 3-3)


18455 Effect of dorzolamide timolol combination versus timolol 0.5% on ocular blood flow in patients with primary open-angle glaucoma
Harris A; Jonescu-Cuypers CP; Kagemann L; Nowacki EA; Cole C; Martin B
American Journal of Ophthalmology 2001; 132: 490-495. (IGR: 3-3)


18454 Blood flow in the optic nerve head and factors that may influence it
Hayreh SS
Progress in Retinal and Eye Research 2001; 20: 595-624 (IGR: 3-3)


18453 Ocular blood flow tonometer reproducibility: the effect of operator experience and mode of application
Morgan A; Hosking S
Ophthalmic and Physiological Optics 2001; 21: 401-406 (IGR: 3-3)


18452 Change in retinal blood flow in the posterior pole after hemodialysis
Nagai N; Shinoda K; Kimura I; Kitamura S; Inoue M; Mashima Y
Folia Ophthalmologica Japonica / Nihon Ganka Kiyo 2001; 52: 557-560 (IGR: 3-3)


18451 Retinal microcirculation correlates with ocular wall thickness, axial eye length, and refraction in glaucoma patients
Németh J; Michelson G; Harazny J
Journal of Glaucoma 2001; 10: 390-395 (IGR: 3-3)


18450 Effect of endothelin and BQ123 on ocular blood flow parameters in healthy subjects
Polak K; Petternel V; Luksch A; Krohn J; Findl O; Polska E; Schmetter L
Investigative Ophthalmology and Visual Science 2001; 42: 2949-2956 (IGR: 3-3)


18449 Ocular and retrobulbar blood flow in ocular hypertensives treated with topical timolol, betaxolol and carteolol
Steigerwalt RD Jr; Laurora G; Belcaro GV; Cesarone MR; De Sanctis MT; Incandela L; Minicucci R
Journal of Ocular Pharmacology and Therapeutics 2001; 17: 537-544 (IGR: 3-3)


18448 Effect of topical unoprostone on circulation of human optic nerve head and retina
Tamaki Y; Araie M; Tomita K; Nagahara M; Sandoh S; Tomidokoro A
Journal of Ocular Pharmacology and Therapeutics 2001; 17: 517-527 (IGR: 3-3)


18447 Depth of penetration of scanning laser Doppler flowmetry in the primate optic nerve
Wang L; Cull G; Cioffi GA
Annals of ophthalmology (Skokie, Ill.) 2001; 119: 1810-1814 (IGR: 3-3)


18446 Color Doppler imaging in glaucomatous eyes
Yamazaki Y
Folia Ophthalmologica Japonica / Nihon Ganka Kiyo 2001; 52: 541-543 (IGR: 3-3)


18445 Comparison of blood flow velocities of the extraocular vessels in patients with pseudoexfoliation or primary open-angle glaucoma
Yüksel N; Karabas VL; Demirci A; Arslan A; Altintas O; Caglar Y
Ophthalmologica 2001; 215: 424-429 (IGR: 3-3)


18444 Ultrasound biomicroscopy before and after goniosynechialysis
Canlas OA; Ishikawa H; Liebmann JM; Tello C; Ritch R
American Journal of Ophthalmology 2001; 132: 570-571 (IGR: 3-3)


18443 Three-dimensional ultrasound findings of the posterior iris region
Kirchhoff A; Stachs O; Guthoff R
Graefe's Archive for Clinical and Experimental Ophthalmology 2001; 239: 968-971 (IGR: 3-3)


18442 Serial axial length measurements in congenital glaucoma
Law SK; Bui D; Caprioli J
American Journal of Ophthalmology 2001; 132: 926-928 (IGR: 3-3)


6349 Agreement between ophthalmologists and optometrists in optic disc assessment: training implications for glaucoma co-management
Harper R; Radi N; Reeves BC; Fenerty C; Spencer AF; Batterby M
Graefe's Archive for Clinical and Experimental Ophthalmology 2001; 239: 342-350 (IGR: 3-2)


6351 Three-dimensional optic nerve head algorithm for the detection of glaucomatous damage
Iester M; Rolando M; Macri A
Graefe's Archive for Clinical and Experimental Ophthalmology 2001; 239: 469-473 (IGR: 3-2)


19006 The effects of beta-blockers on ocular blood flow in patients with primary open angle glaucoma: a color Doppler imaging study
Altan-Yaycioglu R; Turker G; Akdol S; Acunas G; Izgi B
European Journal of Ophthalmology 2001; 11: 37-46 (IGR: 3-1)


19007 Color doppler imaging in high myopia and low tension glaucoma
Cellini M; Rossi A; Torreggiani A; Bonsanto D; Moretti M; Bernabini B
Annali di Ottalmologia e Clinica Oculistica 2000; 126: 125-134 (IGR: 3-1)


19008 Color Doppler imaging analysis of ocular vessel flow velocity in glaucomatous and normal subjects
Chen M-J; Chiou H-J; Chou JCK; Hsu W-M
Journal of Medical Ultrasound 2000; 8: 168-173 (IGR: 3-1)


19009 Ocular haemodynamics and nitric oxide in normal pressure glaucoma
Galassi F; Sodi A; Ucci F; Renieri G; Pieri B; Masini E
Acta Ophthalmologica Scandinavica, Supplement 2000; 78: 37-38 (IGR: 3-1)


19010 Acute effect of latanoprost on pulsatile ocular blood flow in normal eyes
Geyer O; Man O; Weintraub M; Silver DM
American Journal of Ophthalmology 2001; 131: 198-202 (IGR: 3-1)


19011 Endothelium-dependent vasoactive modulation in the ophthalmic circulation
Haefliger IO; Flammer J; Beny JL; Lüscher TF
Progress in Retinal and Eye Research 2001; 20: 209-225 (IGR: 3-1)


19012 The impact of glaucoma medication on parameters of ocular perfusion
Harris A; Jonescu-Cuypers CP
Current Opinions in Ophthalmology 2001; 12: 131-137 (IGR: 3-1)


19013 New neuroretinal rim blood flow evaluation method combining Heidelberg retina flowmetry and tomography
Jonescu-Cuypers CP; Chung HS; Kagemann L; Ishii Y; Zarfati D; Harris A
British Journal of Ophthalmology 2001; 85: 304-309 (IGR: 3-1)


19014 Effect of timolol on anterior optic nerve blood flow in patients with primary open-angle glaucoma as assessed by the Heidelberg Retina Flowmeter
Luebeck P; Orgül S; Gugleta K; Gherghel D; Gekkieva M; Flammer J
Journal of Glaucoma 2001; 10: 13-17 (IGR: 3-1)


19015 Absolute filling defects of the optic disc in fluorescein angiograms in glaucoma: a retrospective clinical study
Plange N; Remky A; Arend O
Klinische Monatsblätter für Augenheilkunde 2001; 218: 214-221 (IGR: 3-1)


19016 Intraocular and interocular symmetry in normal retinal capillary perfusion
Rawji MH; Flanagan JG
Journal of Glaucoma 2001; 10: 4-12 (IGR: 3-1)


19017 Ocular and orbital blood flow in cigarette smokers
Steigerwalt RD Jr; Laurora G; Incandela L; Cesarone MR; Belcaro GV; De Sanctis MT
Retina (Philadelphia, Pa.) 2000; 20: 394-397 (IGR: 3-1)


19018 Blood flow in retinal vessels of normal-tension glaucoma with or without a history of optic disc hemorrhages
Takahashi S; Tomita G; Sugiyama K; Sato Y; Kitazawa Y
Nippon Ganka Gakkai Zasshi 2001; 105: 177-182 (IGR: 3-1)


19019 Optic nerve head circulation after intraocular pressure reduction achieved by trabeculectomy
Tamaki Y; Araie M; Hasegawa T; Nagahara M
Ophthalmology 2001; 108: 627-632 (IGR: 3-1)


15722 Mapping the visual field to the optic disc in normal tension glaucoma eyes
Garway-Heath DF; Poinoosawmy DP; Fitzke FW; Hitchings RA
Ophthalmology 2000; 107: 1809-1815 (IGR: 2-3)


15987 Digital photography and blurred image processing of the retinal nerve fiber layer in glaucoma
Xu L; Chen Y; Yang H
Chinese Journal of Ophthalmology 2000; 36: 410 (IGR: 2-3)


15714 Fred Hollows lecture: Digital screening for eye disease
Constable IJ; Yogesan K; Eikelboom RH; Barry CJ; Cuypers M
Clinical and Experimental Ophthalmology 2000; 28: 129-132 (IGR: 2-3)


15723 The sensitivity and specificity of direct ophthalmoscopic optic disc assessment in screening for glaucoma: a multivariate analysis
Harper R; Reeves B
Graefe's Archive for Clinical and Experimental Ophthalmology 2000; 238: 949-955 (IGR: 2-3)


15731 Ophthalmoscopic appearance of the normal optic nerve head in rhesus monkeys
Jonas JB; Hayreh SS
Investigative Ophthalmology and Visual Science 2000; 41: 2978-2983 (IGR: 2-3)


15713 Optic nerve evaluation among optometrists
Spalding JM; Litwak AB; Shufelt CL
Optometry and Vision Science 2000; 77: 446-452 (IGR: 2-3)


15712 Identifying early glaucomatous changes: comparison between expert clinical assessment of optic disc photographs and confocal scanning ophthalmoscopy
Wollstein G; Garway-Heath DF; Fontana L; Hitchings RA
Ophthalmology 2000; 107: 2272-2277 (IGR: 2-3)


5995 Correlation between retinal nerve fiber layer thickness and static visual field in glaucoma
Asaoka R; Osako M; Takada M; Tachibana K; Usui M
Japanese Journal of Clinical Ophthalmology 2000; 54: 769-774 (IGR: 2-2)


5997 Ophthalmoscopic detectability of the parafoveal annular reflex in the evaluation of the optic nerve: an experimental study in rhesus monkeys
Hayreh SS; Jonas JB
Ophthalmology 2000; 107: 1009-1014 (IGR: 2-2)


6009 Relationship between structural abnormalities and short-wavelength perimetric defects in eyes at risk of glaucoma
Ugurlu S; Hoffman D; Garway-Heath DF; Caprioli J
American Journal of Ophthalmology 2000; 129: 592-598 (IGR: 2-2)


6012 A comparison of optical coherence tomography and retinal nerve fiber layer photography for detection of nerve fiber layer damage in glaucoma
Zangwill LM; Williams J; Berry CC; Knauer S; Weinreb RN
Ophthalmology 2000; 107: 1309-1315 (IGR: 2-2)


6015 Computerized stereochronoscopy and alternation flicker to detect optic nerve head contour change
Berger JW; Patel TR; Shin DS; Piltz JR; Stone RA
Ophthalmology 2000; 107: 1316-1320 (IGR: 2-2)


6018 Observer variability in optic disc assessment: implications for glaucoma shared care
Harper R; Reeves B; Smith G
Ophthalmic and Physiological Optics 2000; 20: 265-273 (IGR: 2-2)


6020 Clinical quality assessment using computer monitor photoimages of optic nerve head cupping
Jamara RJ; Denial A; Valentini D; Thorn F
Optometry and Vision Science 2000; 77: 433-436 (IGR: 2-2)


6021 Ranking of optic disc variables for detection of glaucomatous optic nerve damage
Jonas JB; Bergua A; Schmitz-Valckenberg P; Papastathopoulos KI; Budde WM
Investigative Ophthalmology and Visual Science 2000; 41: 1764-1773 (IGR: 2-2)


6022 Methods in optic nerve disk digital planimetry
Kubena T; Cernosek P; Mayer J
?eska a Slovenska Oftalmologie 2000; 56: 170-175 (IGR: 2-2)


6025 Effect of aging on optic nerve appearance: a longitudinal study
Moya FJ; Brigatti L; Caprioli J
British Journal of Ophthalmology 1999; 83: 567-572 (IGR: 2-2)


6052 Short-wavelength automated perimetry and neuroretinal rim area
Larrosa JM; Polo V; Pablo L; Pinilla I; Fernandez FJ; Honrubia FM
European Journal of Ophthalmology 2000; 10: 116-120 (IGR: 2-2)


5608 Comparison of optic disc image assessment methods when examining serial photographs for glaucomatous progression
Barry CJ; Eikelboom R; Kanagasingam Y; Jitskaia L; Morgan W; House P; Cuypers M
British Journal of Ophthalmology 2000; 84:28-30 (IGR: 2-1)


5615 Optic nerve head appearance in juvenile-onset chronic high-pressure glaucoma and normal-pressure glaucoma
Jonas JB; Budde WM
Ophthalmology 2000; 107: 704-711 (IGR: 2-1)


5621 A new digital optic disc stereo camera: intraobserver and interobserver repeatability of optic disc measurements
Shuttleworth GN; Khong CH; Diamond JP
British Journal of Ophthalmology 2000; 84: 403-407 (IGR: 2-1)


5649 Clinical investigation: Quantitative analysis of visual field and optic disk in glaucoma: retinal nerve fiber bundle-associated analysis
Jünemann GM; Martus P; Wisse M; Jonas J
Graefe's Archive for Clinical and Experimental Ophthalmology 2000; 238: 306-314 (IGR: 2-1)


5670 Spotting of disc haemorrhages on fundus pictures; on Kodachrome slides and on digitally enhanced images
Holm O; Krakau CE
Acta Ophthalmologica Scandinavica 2000; 78: 21-25 (IGR: 2-1)


15364 Localized wedge-shaped defects of retinal nerve fiber layer and disc hemorrhage in glaucoma
Sugiyama K; Uchida H; Tomita G; Sato Y; Iwase A; Kitazawa Y
Ophthalmology 1999; 106: 1762-1767 (IGR: 1-3)


15367 Morphology of the optic disc in glaucoma. I. Primary open-angle glaucomas
Budde WM; Jonas JB
Klinische Monatsblätter für Augenheilkunde 1999; 215: 211-220 (IGR: 1-3)


15368 Morphology of the optic disc in glaucoma. II. Secondary chronic open-angle glaucomas
Budde WM; Jonas JB
Klinische Monatsblätter für Augenheilkunde 1999; 215: 221-227 (IGR: 1-3)


15371 Diagnosis and pathogenesis of glaucomatous optic neuropathy: morphological aspects
Jonas JB; Budde WM
Progress in Retinal and Eye Research 2000; 19: 1-40 (IGR: 1-3)


15377 Evaluation of a portable fundus camera for use in the teleophthalmologic diagnosis of glaucoma
Yogesan K; Constable IJ; Barry CJ; Eikelboom RH; Morgan W; Tay-Kearney ML; Jitskaia L
Journal of Glaucoma 1999; 8: 297-301 (IGR: 1-3)


5208 Correlation of functional and structural measurements in eyes suspected of having glaucoma
Polo V; Larrosa JM; Pablo LE; Pinilla I; Honrubia FM
Journal of Glaucoma 1999; 8: 172-176 (IGR: 1-2)


5219 Optic disk morphology in experimental central retinal artery occlusion in rhesus monkeys.
Jonas JB; Hayreh SS
American Journal of Ophthalmology 1999; 127: 523-530 (IGR: 1-2)



6.30 Other (1090 abstracts found)


85101 Diagnosis of Glaucoma on Retinal Fundus Images Using Deep Learning: Detection of Nerve Fiber Layer Defect and Optic Disc Analysis
Muramatsu C
Adv Exp Med Biol 2020; 1213: 121-132 (IGR: 21-1)


84979 Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
Murtagh P
International Journal of Ophthalmology 2020; 13: 149-162 (IGR: 21-1)


85037 Structurally coloured contact lens sensor for point-of-care ophthalmic health monitoring
Wang Y
Journal of materials chemistry. B 2020; 0: (IGR: 21-1)


84271 Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
Xu BY
American Journal of Ophthalmology 2019; 208: 273-280 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Zapata MA
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85016 Ophthalmic diagnosis using deep learning with fundus images - A critical review
Sengupta S
Artificial Intelligence in Medicine 2020; 102: 101758 (IGR: 21-1)


84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Berchuck SI
Scientific reports 2019; 9: 18113 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Wang M
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Li F
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Sartoretti T
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Lee J
Japanese Journal of Ophthalmology 2020; 64: 68-76 (IGR: 21-1)


84806 Brain morphological alterations of cerebral cortex and subcortical nuclei in high-tension glaucoma brain and its associations with intraocular pressure
Wang Y
Neuroradiology 2020; 62: 495-502 (IGR: 21-1)


84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Berchuck SI
Scientific reports 2019; 9: 18113 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Guazzaroni M
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Wu YY
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Traber GL
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


84806 Brain morphological alterations of cerebral cortex and subcortical nuclei in high-tension glaucoma brain and its associations with intraocular pressure
Wang X
Neuroradiology 2020; 62: 495-502 (IGR: 21-1)


84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Kim YK
Japanese Journal of Ophthalmology 2020; 64: 68-76 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Wang SF
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


84271 Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
Chiang M
American Journal of Ophthalmology 2019; 208: 273-280 (IGR: 21-1)


85016 Ophthalmic diagnosis using deep learning with fundus images - A critical review
Singh A
Artificial Intelligence in Medicine 2020; 102: 101758 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Yan L
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Della Volpe-Waizel M
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Stürmer J
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Ferrari D
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Royo-Fibla D
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84979 Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
Greene G
International Journal of Ophthalmology 2020; 13: 149-162 (IGR: 21-1)


85037 Structurally coloured contact lens sensor for point-of-care ophthalmic health monitoring
Zhao Q
Journal of materials chemistry. B 2020; 0: (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Shen LQ
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Mukherjee S
Scientific reports 2019; 9: 18113 (IGR: 21-1)


84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Jeoung JW
Japanese Journal of Ophthalmology 2020; 64: 68-76 (IGR: 21-1)


84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Medeiros FA
Scientific reports 2019; 9: 18113 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Font O
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Zhu PW
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Lamacchia F
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


84979 Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
O'Brien C
International Journal of Ophthalmology 2020; 13: 149-162 (IGR: 21-1)


85016 Ophthalmic diagnosis using deep learning with fundus images - A critical review
Leopold HA
Artificial Intelligence in Medicine 2020; 102: 101758 (IGR: 21-1)


84806 Brain morphological alterations of cerebral cortex and subcortical nuclei in high-tension glaucoma brain and its associations with intraocular pressure
Zhou J
Neuroradiology 2020; 62: 495-502 (IGR: 21-1)


85037 Structurally coloured contact lens sensor for point-of-care ophthalmic health monitoring
Du X
Journal of materials chemistry. B 2020; 0: (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Wang Y
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Maloca P
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Sartoretti E
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Pasquale LR
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


84271 Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
Chaudhary S
American Journal of Ophthalmology 2019; 208: 273-280 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Vela JI
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Yuan Q
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Schmidt-Erfurth U
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Boland MV
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


84806 Brain morphological alterations of cerebral cortex and subcortical nuclei in high-tension glaucoma brain and its associations with intraocular pressure
Qiu J
Neuroradiology 2020; 62: 495-502 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Najafi A
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Salimei F
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Najafi A
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


85016 Ophthalmic diagnosis using deep learning with fundus images - A critical review
Gulati T
Artificial Intelligence in Medicine 2020; 102: 101758 (IGR: 21-1)


84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Ha A
Japanese Journal of Ophthalmology 2020; 64: 68-76 (IGR: 21-1)


84271 Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
Kulkarni S
American Journal of Ophthalmology 2019; 208: 273-280 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Shi J; Chen H
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Kim YW
Japanese Journal of Ophthalmology 2020; 64: 68-76 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Marsico S
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Marcantonio I
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Rubin G
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


84806 Brain morphological alterations of cerebral cortex and subcortical nuclei in high-tension glaucoma brain and its associations with intraocular pressure
Yan T
Neuroradiology 2020; 62: 495-502 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Shi WQ
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Wellik SR
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


84271 Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
Pardeshi AA
American Journal of Ophthalmology 2019; 208: 273-280 (IGR: 21-1)


85016 Ophthalmic diagnosis using deep learning with fundus images - A critical review
Lakshminarayanan V
Artificial Intelligence in Medicine 2020; 102: 101758 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Schwenk Á
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Lin Q
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Moya-Sánchez EU
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
De Moraes CG
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Citraro D
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Roska B
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


84271 Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
Varma R
American Journal of Ophthalmology 2019; 208: 273-280 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Zhang X
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Wyss M
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


84806 Brain morphological alterations of cerebral cortex and subcortical nuclei in high-tension glaucoma brain and its associations with intraocular pressure
Xie Y
Neuroradiology 2020; 62: 495-502 (IGR: 21-1)


84773 Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Park KH
Japanese Journal of Ophthalmology 2020; 64: 68-76 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Cordeiro MF
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Binkert C
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Jiang M
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Campagnuolo T
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Sánchez-Pérez A
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Li B
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Myers JS
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


84806 Brain morphological alterations of cerebral cortex and subcortical nuclei in high-tension glaucoma brain and its associations with intraocular pressure
Li L; Lu W
Neuroradiology 2020; 62: 495-502 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Wu Z
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84762 Long segment 3D double inversion recovery (DIR) hypersignal on MRI in glaucomatous optic neuropathy
Sartoretti-Schefer S
BMC Ophthalmology 2019; 19: 258 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Otto T
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Nguyen TD
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Min YL
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Garcia-Gasulla D
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Girardi V
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Ritch R
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Zhou Q
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Zhou K
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Cortés U
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Weleber R
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


85103 Biomechanical properties of optic nerve and retrobulbar structures with 2D and 3D shear wave elastography in patients affected by glaucoma
Orlacchio A
Clinical imaging 2020; 61: 106-114 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Lesmes LA; Lesmes LA
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Ramulu P
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Ayguadé E
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85092 Altered Intrinsic Functional Connectivity of the Primary Visual Cortex in Patients with Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
Shao Y
Neuropsychiatric disease and treatment 2020; 16: 25-33 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Wang H
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Labarta J
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Arleo A
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Tichelaar J
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


84930 New Technologies for Outcome Measures in Glaucoma: Review by the European Vision Institute Special Interest Focus Group
Scholl HPN
Ophthalmic Research 2020; 63: 88-96 (IGR: 21-1)


85127 Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma
Li D; Bex PJ; Elze T
Ophthalmology 2020; 127: 731-738 (IGR: 21-1)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Tatewaki Y
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Zhou W
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Rogers TW
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Mayro EL
Eye 2020; 34: 1-11 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Wang J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Amil P
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Hemelings R
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Li L
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Minosse S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82796 Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning
Zhao R
Medical Image Analysis 2020; 60: 101593 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mao Z
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Thakoor KA
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Phene S
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Pujari A
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82707 Potential Impact of DARC Technology in Neuroprotective Therapies
Pahlitzsch M
Klinische Monatsblätter für Augenheilkunde 2020; 237: 140-142 (IGR: 20-4)


82453 Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Mvoulana A
Computerized Medical Imaging and Graphics 2019; 77: 101643 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Zhao R
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


81872 Smartphone-based Gonio-Imaging: A Novel Addition to Glaucoma Screening Tools
Kumar N
Journal of Glaucoma 2019; 28: e149-e150 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Minosse S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82452 Smartphone use in ophthalmology: What is their place in clinical practice?
Hogarty DT
Survey of Ophthalmology 2020; 65: 250-262 (IGR: 20-4)


82109 Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Sandberg Melin C
Acta Ophthalmologica 2020; 98: 190-194 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Phasuk S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82390 Fixel-Based Analysis of Visual Pathway White Matter in Primary Open-Angle Glaucoma
Haykal S
Investigative Ophthalmology and Visual Science 2019; 60: 3803-3812 (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Gaddipati DJ
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


82826 Hemoglobin Video Imaging Provides Novel In Vivo High-Resolution Imaging and Quantification of Human Aqueous Outflow in Patients with Glaucoma
Khatib TZ
Ophthalmology. Glaucoma 2019; 2: 327-335 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Xu YL
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Bajwa MN
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Christopher M
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Liu S
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Wang X
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Al-Akhras M
Journal of infection and public health 2019; 0: (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Raghavendra U
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Zhang Q
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Devalla SK
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Bowd C
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Selvan H
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Desai A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Rumpel H
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


81872 Smartphone-based Gonio-Imaging: A Novel Addition to Glaucoma Screening Tools
Francesco B
Journal of Glaucoma 2019; 28: e149-e150 (IGR: 20-4)


82452 Smartphone use in ophthalmology: What is their place in clinical practice?
Hogarty JP
Survey of Ophthalmology 2020; 65: 250-262 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Malik MI
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Reyes-Manzano CF
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Miki A
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Mutoh T
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Barakat A
Journal of infection and public health 2019; 0: (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Floris R
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Gudigar A
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Hong J
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fu H
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Elen B
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82796 Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning
Li S
Medical Image Analysis 2020; 60: 101593 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Shu Y
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Zhao Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Wang M
Eye 2020; 34: 1-11 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zou B
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Lu S
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


82453 Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Kachouri R
Computerized Medical Imaging and Graphics 2019; 77: 101643 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Tantibundhit C
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Dunn RC
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Yi Y
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Jaccard N
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82109 Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Yu Z
Acta Ophthalmologica 2020; 98: 190-194 (IGR: 20-4)


82390 Fixel-Based Analysis of Visual Pathway White Matter in Primary Open-Angle Glaucoma
Curcic-Blake B
Investigative Ophthalmology and Visual Science 2019; 60: 3803-3812 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Xu M
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Yan Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82826 Hemoglobin Video Imaging Provides Novel In Vivo High-Resolution Imaging and Quantification of Human Aqueous Outflow in Patients with Glaucoma
Meyer PAR
Ophthalmology. Glaucoma 2019; 2: 327-335 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Liang Z
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Li X
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Chen X
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Tsamis E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Lu X
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Li X
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Nucci C
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Bhandary SV
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82109 Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Söderberg PG
Acta Ophthalmologica 2020; 98: 190-194 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Poopresert P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Xu Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Fu H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Li HX
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Elze T
Eye 2020; 34: 1-11 (IGR: 20-4)


82390 Fixel-Based Analysis of Visual Pathway White Matter in Primary Open-Angle Glaucoma
Jansonius NM
Investigative Ophthalmology and Visual Science 2019; 60: 3803-3812 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Belghith A
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Siddiqui SA
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82826 Hemoglobin Video Imaging Provides Novel In Vivo High-Resolution Imaging and Quantification of Human Aqueous Outflow in Patients with Glaucoma
Lusthaus J
Ophthalmology. Glaucoma 2019; 2: 327-335 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Tsamis E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zhao R
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Baskaran M
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Barbosa-Breda J
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Omodaka K
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Bao J
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Alawairdhi M
Journal of infection and public health 2019; 0: (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Carbonaro F
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Liu H
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Pham TH
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Hammel N
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mei S
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


81872 Smartphone-based Gonio-Imaging: A Novel Addition to Glaucoma Screening Tools
Sharma A
Journal of Glaucoma 2019; 28: e149-e150 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Tsamis E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Asif MI
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82452 Smartphone use in ophthalmology: What is their place in clinical practice?
Hewitt AW
Survey of Ophthalmology 2020; 65: 250-262 (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Sivaswamy J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Guzmán-Vargas L
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Barbosa Breda J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Xiyao L
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82453 Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Akil M
Computerized Medical Imaging and Graphics 2019; 77: 101643 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Xiong C
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Chen Y
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Li RR
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Rao TN
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82390 Fixel-Based Analysis of Visual Pathway White Matter in Primary Open-Angle Glaucoma
Cornelissen FW
Investigative Ophthalmology and Visual Science 2019; 60: 3803-3812 (IGR: 20-4)


82826 Hemoglobin Video Imaging Provides Novel In Vivo High-Resolution Imaging and Quantification of Human Aqueous Outflow in Patients with Glaucoma
Manyakin I
Ophthalmology. Glaucoma 2019; 2: 327-335 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Van Keer K
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Habib M
Journal of infection and public health 2019; 0: (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Shang Q
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Lemmens S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Wang W
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Thyreau B
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Vermeer KA
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Yaemsuk A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Tun TA
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Toschi N
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Shang Q
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Dengel A
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Boote C
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Sajda P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Gupta B
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Zailiang C
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Dong Y
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Pasquale LR
Eye 2020; 34: 1-11 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Goldbaum MH
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Lemij HG
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Li Y
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Jia X
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Liu Y
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Zhao W
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Sendiña-Nadal I
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Strouthidis N
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Garaci F
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Guo F
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Strouthidis NG
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Hood DC
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Li F
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Bathula DR
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Weinreb RN
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Vermeer KA
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Strouthidis N
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Min H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Matsudaira I
Scientific reports 2019; 9: 15148 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Wang X
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Masoller C
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82826 Hemoglobin Video Imaging Provides Novel In Vivo High-Resolution Imaging and Quantification of Human Aqueous Outflow in Patients with Glaucoma
Mushtaq Y
Ophthalmology. Glaucoma 2019; 2: 327-335 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Li P
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Ciaccio EJ
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Shafait F
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Lin Z
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
He Z
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Meire M
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Krause J
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Dada T
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Suvannachart P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Maruyama K; Kawasaki R
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Fazio MA
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Pourjavan S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Kitade N
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zhou M
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Diaz-Pinto A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Zhou Y
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Thiery AH
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Zhang X
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Acharya UR
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Reus NJ
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Jiang L
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Diaz-Pinto A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Li S
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Tan M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Pang Y
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Martucci A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Itthipanichpong R
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Furukawa H
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Neumeier W
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82826 Hemoglobin Video Imaging Provides Novel In Vivo High-Resolution Imaging and Quantification of Human Aqueous Outflow in Patients with Glaucoma
Martin KR
Ophthalmology. Glaucoma 2019; 2: 327-335 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Perera SA
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Lanzafame S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Chansangpetch S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Ahmed S
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Girard MJA
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Trikha S
Eye 2019; 33: 1791-1797 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Wang Z
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Usui S
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Liu Y
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Liu J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Nongpiur ME
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Girkin CA
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Schaekermann M
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Lanzafame S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Vandewalle E
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Yamada K
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Ye W
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Liu J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fang R
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Sayres R
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Di Giuliano F
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Zhang H
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Fan X
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Heng PA
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Yang L
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Van de Veire S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Lim WEH
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Kunitoki K
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Heng PA
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Liebmann JM
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Matsushita K
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Di Giuliano F
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Manassakorn A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Blaschko MB
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Wang N
IEEE Transactions on Medical Imaging 2020; 39: 413-424 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Aung T
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Wu DJ
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Zeng X
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Tantisevi V
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Zangwill LM
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Kim J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Nishida K
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Picchi E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Kawashima R
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Picchi E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Chan K
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Nakazawa T
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Lee J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Milea D
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Bora A
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Rojanapongpun P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Zhang X
Neuroscience Letters 2019; 712: 134500 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
De Boever P
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Cesareo M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Taki Y
Scientific reports 2019; 9: 15148 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Semturs C
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Mancino R
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Stalmans I
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Girard MJA
Journal of Glaucoma 2019; 28: 691-696 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Guerrisi M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Misra A
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82868 Disruption of brain network organization in primary open angle glaucoma
Guerrisi M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Li X
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Liu P
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Huang AE; Spitze A
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Lu S; Murugesan B
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Medeiros FA
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Naranjo V
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Maa AY
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Naranjo V
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Phaye SSR
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Gandhi M
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Corrado GS
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Shankaranarayana SM
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Sikka A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Peng L
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Son J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Webster DR
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
van den Hengel A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Wang S; Wu J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Wu Z; Xu G
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Xu Y
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Yin
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


81194 Characterization of the ocular surface temperature dynamics in glaucoma subjects using long-wave infrared thermal imaging
García-Porta N
Journal of the Optical Society of America. A, Optics, Image Science, and Vision 2019; 36: 1015-1021 (IGR: 20-3)


81180 Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
Miller N
PLoS ONE 2019; 14: e0217011 (IGR: 20-3)


80654 Detecting autonomic dysfunction in patients with glaucoma using dynamic pupillometry
Park HL
Medicine 2019; 98: e14658 (IGR: 20-3)


81356 Evaluation of optic canal anatomy and symmetry using CT
Zhang X
BMJ open ophthalmology 2019; 4: e000302 (IGR: 20-3)


81451 SPECIFIC CHARACTERISTICS OF OCULAR BIOMETRIC FACTORS IN GLAUCOMATOUS PATIENTS WITH PSEUDOEXFOLIATIVE SYNDROME AS MEASURED BY OPTICAL LOW-COHERENCE REFLECTOMETRY
Janjetović Ž
Acta Clinica Croatica 2019; 58: 87-94 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Qu X
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Al-Aswad LA
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


80738 Decreased orbital fat and enophthalmos due to bimatoprost: Quantitative analysis using magnetic resonance imaging
Higashiyama T
PLoS ONE 2019; 14: e0214065 (IGR: 20-3)


81390 Postural changes in patients with visual deficits
Serin-Brackman V
Journal Français d'Ophtalmologie 2019; 42: 1078-1084 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Chen L
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


81404 Eye Movements of Drivers with Glaucoma on a Visual Recognition Slide Test
Lee SS
Optometry and Vision Science 2019; 96: 484-491 (IGR: 20-3)


80502 Diagnostic utility of central damage determination in glaucoma by magnetic resonance imaging: An observational study
Li M
Experimental and therapeutic medicine 2019; 17: 1891-1895 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Wang Y
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81356 Evaluation of optic canal anatomy and symmetry using CT
Lee Y
BMJ open ophthalmology 2019; 4: e000302 (IGR: 20-3)


80738 Decreased orbital fat and enophthalmos due to bimatoprost: Quantitative analysis using magnetic resonance imaging
Minamikawa T
PLoS ONE 2019; 14: e0214065 (IGR: 20-3)


81404 Eye Movements of Drivers with Glaucoma on a Visual Recognition Slide Test
Black AA
Optometry and Vision Science 2019; 96: 484-491 (IGR: 20-3)


81194 Characterization of the ocular surface temperature dynamics in glaucoma subjects using long-wave infrared thermal imaging
Gantes-Nuñez FJ
Journal of the Optical Society of America. A, Optics, Image Science, and Vision 2019; 36: 1015-1021 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Li S
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


80654 Detecting autonomic dysfunction in patients with glaucoma using dynamic pupillometry
Jung SH
Medicine 2019; 98: e14658 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Lu W
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Wang Q
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Kapoor R
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81180 Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
Liu Y
PLoS ONE 2019; 14: e0217011 (IGR: 20-3)


80502 Diagnostic utility of central damage determination in glaucoma by magnetic resonance imaging: An observational study
Ke M
Experimental and therapeutic medicine 2019; 17: 1891-1895 (IGR: 20-3)


81390 Postural changes in patients with visual deficits
Pezet Poux J
Journal Français d'Ophtalmologie 2019; 42: 1078-1084 (IGR: 20-3)


81451 SPECIFIC CHARACTERISTICS OF OCULAR BIOMETRIC FACTORS IN GLAUCOMATOUS PATIENTS WITH PSEUDOEXFOLIATIVE SYNDROME AS MEASURED BY OPTICAL LOW-COHERENCE REFLECTOMETRY
Bušić M
Acta Clinica Croatica 2019; 58: 87-94 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Kapoor R
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81404 Eye Movements of Drivers with Glaucoma on a Visual Recognition Slide Test
Wood JM
Optometry and Vision Science 2019; 96: 484-491 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Chen W
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Cai F
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


80502 Diagnostic utility of central damage determination in glaucoma by magnetic resonance imaging: An observational study
Song Y
Experimental and therapeutic medicine 2019; 17: 1891-1895 (IGR: 20-3)


81390 Postural changes in patients with visual deficits
Quintyn JC
Journal Français d'Ophtalmologie 2019; 42: 1078-1084 (IGR: 20-3)


81451 SPECIFIC CHARACTERISTICS OF OCULAR BIOMETRIC FACTORS IN GLAUCOMATOUS PATIENTS WITH PSEUDOEXFOLIATIVE SYNDROME AS MEASURED BY OPTICAL LOW-COHERENCE REFLECTOMETRY
Bosnar D
Acta Clinica Croatica 2019; 58: 87-94 (IGR: 20-3)


80738 Decreased orbital fat and enophthalmos due to bimatoprost: Quantitative analysis using magnetic resonance imaging
Kakinoki M
PLoS ONE 2019; 14: e0214065 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Yan T
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81356 Evaluation of optic canal anatomy and symmetry using CT
Olson D
BMJ open ophthalmology 2019; 4: e000302 (IGR: 20-3)


81180 Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
Krivochenitser R
PLoS ONE 2019; 14: e0217011 (IGR: 20-3)


80654 Detecting autonomic dysfunction in patients with glaucoma using dynamic pupillometry
Park SH
Medicine 2019; 98: e14658 (IGR: 20-3)


81194 Characterization of the ocular surface temperature dynamics in glaucoma subjects using long-wave infrared thermal imaging
Tabernero J
Journal of the Optical Society of America. A, Optics, Image Science, and Vision 2019; 36: 1015-1021 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Chu CK
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


80738 Decreased orbital fat and enophthalmos due to bimatoprost: Quantitative analysis using magnetic resonance imaging
Sawada O
PLoS ONE 2019; 14: e0214065 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Wu L
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


80654 Detecting autonomic dysfunction in patients with glaucoma using dynamic pupillometry
Park CK
Medicine 2019; 98: e14658 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Walters S
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Zhou J
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Li T
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


81451 SPECIFIC CHARACTERISTICS OF OCULAR BIOMETRIC FACTORS IN GLAUCOMATOUS PATIENTS WITH PSEUDOEXFOLIATIVE SYNDROME AS MEASURED BY OPTICAL LOW-COHERENCE REFLECTOMETRY
Barać J
Acta Clinica Croatica 2019; 58: 87-94 (IGR: 20-3)


80502 Diagnostic utility of central damage determination in glaucoma by magnetic resonance imaging: An observational study
Mu K
Experimental and therapeutic medicine 2019; 17: 1891-1895 (IGR: 20-3)


81194 Characterization of the ocular surface temperature dynamics in glaucoma subjects using long-wave infrared thermal imaging
Pardhan S
Journal of the Optical Society of America. A, Optics, Image Science, and Vision 2019; 36: 1015-1021 (IGR: 20-3)


81356 Evaluation of optic canal anatomy and symmetry using CT
Fleischman D
BMJ open ophthalmology 2019; 4: e000302 (IGR: 20-3)


81180 Linking neural and clinical measures of glaucoma with diffusion magnetic resonance imaging (dMRI)
Rokers B
PLoS ONE 2019; 14: e0217011 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Gong H
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Gong D
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81451 SPECIFIC CHARACTERISTICS OF OCULAR BIOMETRIC FACTORS IN GLAUCOMATOUS PATIENTS WITH PSEUDOEXFOLIATIVE SYNDROME AS MEASURED BY OPTICAL LOW-COHERENCE REFLECTOMETRY
Genda I
Acta Clinica Croatica 2019; 58: 87-94 (IGR: 20-3)


80502 Diagnostic utility of central damage determination in glaucoma by magnetic resonance imaging: An observational study
Zhang H
Experimental and therapeutic medicine 2019; 17: 1891-1895 (IGR: 20-3)


80738 Decreased orbital fat and enophthalmos due to bimatoprost: Quantitative analysis using magnetic resonance imaging
Ohji M
PLoS ONE 2019; 14: e0214065 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Guo J
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Xie Y
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Garg A
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


80502 Diagnostic utility of central damage determination in glaucoma by magnetic resonance imaging: An observational study
Chen Z
Experimental and therapeutic medicine 2019; 17: 1891-1895 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Yuan J
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Wang H
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Pei C
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Liu G
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Gopal K
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Zhou F
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Gopal K
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Zhang X; Wang Y
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Teng Y
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81173 Altered functional connectivity density in primary angle-closure glaucoma patients at resting-state
Zeng X
Quantitative imaging in medicine and surgery 2019; 9: 603-614 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Patel V
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Wang N
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Sameer T
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Han W
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81014 Combined machine learning and diffusion tensor imaging reveals altered anatomic fiber connectivity of the brain in primary open-angle glaucoma
Xian J
Brain Research 2019; 1718: 83-90 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Chen D
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Rogers TW; Nicolas J
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


80522 Functional MRI reveals effects of high intraocular pressure on central nervous system in high-tension glaucoma patients
Qiu J
Acta Ophthalmologica 2019; 97: e341-e348 (IGR: 20-3)


81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
De Moraes CG; Moazami G
Journal of Glaucoma 2019; 28: 1029-1034 (IGR: 20-3)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Wang M
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79338 A deep learning approach to automatic detection of early glaucoma from visual fields
Kucur ŞS
PLoS ONE 2018; 13: e0206081 (IGR: 20-2)


79852 Frequency-dependent neural activity in primary angle-closure glaucoma
Jiang F
Neuropsychiatric disease and treatment 2019; 15: 271-282 (IGR: 20-2)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Lee J
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


79401 Vection Responses in Patients With Early Glaucoma
Brin TA
Journal of Glaucoma 2019; 28: 68-74 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Shigueoka LS
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79856 Subcortical visual pathway may be a new way for early diagnosis of glaucoma
Sun Y
Medical Hypotheses 2019; 123: 47-49 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Shen LQ
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79856 Subcortical visual pathway may be a new way for early diagnosis of glaucoma
Huang W
Medical Hypotheses 2019; 123: 47-49 (IGR: 20-2)


79401 Vection Responses in Patients With Early Glaucoma
Tarita-Nistor L
Journal of Glaucoma 2019; 28: 68-74 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Vasconcellos JPC
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Kim Y
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


79338 A deep learning approach to automatic detection of early glaucoma from visual fields
Holló G
PLoS ONE 2018; 13: e0206081 (IGR: 20-2)


79852 Frequency-dependent neural activity in primary angle-closure glaucoma
Yu C
Neuropsychiatric disease and treatment 2019; 15: 271-282 (IGR: 20-2)


79856 Subcortical visual pathway may be a new way for early diagnosis of glaucoma
Li F
Medical Hypotheses 2019; 123: 47-49 (IGR: 20-2)


79338 A deep learning approach to automatic detection of early glaucoma from visual fields
Sznitman R
PLoS ONE 2018; 13: e0206081 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Pasquale LR
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Schimiti RB
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Kim JH
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


79852 Frequency-dependent neural activity in primary angle-closure glaucoma
Zuo MJ
Neuropsychiatric disease and treatment 2019; 15: 271-282 (IGR: 20-2)


79401 Vection Responses in Patients With Early Glaucoma
González EG
Journal of Glaucoma 2019; 28: 68-74 (IGR: 20-2)


79852 Frequency-dependent neural activity in primary angle-closure glaucoma
Zhang C
Neuropsychiatric disease and treatment 2019; 15: 271-282 (IGR: 20-2)


79898 Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation
Park KH
Journal of Glaucoma 2019; 28: 258-264 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Reis ASC
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79856 Subcortical visual pathway may be a new way for early diagnosis of glaucoma
Li H
Medical Hypotheses 2019; 123: 47-49 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Petrakos P
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79401 Vection Responses in Patients With Early Glaucoma
Trope GE
Journal of Glaucoma 2019; 28: 68-74 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Formica S
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79856 Subcortical visual pathway may be a new way for early diagnosis of glaucoma
Wang L
Medical Hypotheses 2019; 123: 47-49 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Oliveira GO
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79401 Vection Responses in Patients With Early Glaucoma
Steinbach MJ
Journal of Glaucoma 2019; 28: 68-74 (IGR: 20-2)


79852 Frequency-dependent neural activity in primary angle-closure glaucoma
Wang Y
Neuropsychiatric disease and treatment 2019; 15: 271-282 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Gomi ES
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79852 Frequency-dependent neural activity in primary angle-closure glaucoma
Zhou FQ
Neuropsychiatric disease and treatment 2019; 15: 271-282 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Boland MV
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79856 Subcortical visual pathway may be a new way for early diagnosis of glaucoma
Huang Y
Medical Hypotheses 2019; 123: 47-49 (IGR: 20-2)


79852 Frequency-dependent neural activity in primary angle-closure glaucoma
Zeng XJ
Neuropsychiatric disease and treatment 2019; 15: 271-282 (IGR: 20-2)


79856 Subcortical visual pathway may be a new way for early diagnosis of glaucoma
Zhang X
Medical Hypotheses 2019; 123: 47-49 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Wellik SR
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Vianna JAR
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
De Moraes CG
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Lisboa RDDR; Medeiros FA
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Myers JS
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Costa VP
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Saeedi O; Wang H; Baniasadi N; Li D; Tichelaar J; Bex PJ; Elze T
Investigative Ophthalmology and Visual Science 2019; 60: 365-375 (IGR: 20-2)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Wang Q
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Daga FB
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Song XY
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


78527 Evidence for alterations in fixational eye movements in glaucoma
Montesano G
BMC Ophthalmology 2018; 18: 191 (IGR: 20-1)


79262 Magnetic Resonance Spectroscopy Features of the Visual Pathways in Patients with Glaucoma
Aksoy DÖ
Clinical neuroradiology 2019; 29: 615-621 (IGR: 20-1)


78820 Noninvasive intracranial pressure assessment using otoacoustic emissions: An application in glaucoma
Loiselle AR
PLoS ONE 2018; 13: e0204939 (IGR: 20-1)


79298 Inner Retinal Changes in Primary Open-Angle Glaucoma Revealed Through Adaptive Optics-Optical Coherence Tomography
Wells-Gray EM; Choi SS
Journal of Glaucoma 2018; 27: 1025-1028 (IGR: 20-1)


78820 Noninvasive intracranial pressure assessment using otoacoustic emissions: An application in glaucoma
de Kleine E
PLoS ONE 2018; 13: e0204939 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Puyang Z
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


78527 Evidence for alterations in fixational eye movements in glaucoma
Crabb DP
BMC Ophthalmology 2018; 18: 191 (IGR: 20-1)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Chen W
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


79262 Magnetic Resonance Spectroscopy Features of the Visual Pathways in Patients with Glaucoma
Umurhan Akkan JC
Clinical neuroradiology 2019; 29: 615-621 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Ogata NG
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


78527 Evidence for alterations in fixational eye movements in glaucoma
Jones PR
BMC Ophthalmology 2018; 18: 191 (IGR: 20-1)


79298 Inner Retinal Changes in Primary Open-Angle Glaucoma Revealed Through Adaptive Optics-Optical Coherence Tomography
Slabaugh M
Journal of Glaucoma 2018; 27: 1025-1028 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Medeiros FA
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


78820 Noninvasive intracranial pressure assessment using otoacoustic emissions: An application in glaucoma
van Dijk P
PLoS ONE 2018; 13: e0204939 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Chen AH
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


79262 Magnetic Resonance Spectroscopy Features of the Visual Pathways in Patients with Glaucoma
Alkan A
Clinical neuroradiology 2019; 29: 615-621 (IGR: 20-1)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Qu X
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Zhao J
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


79262 Magnetic Resonance Spectroscopy Features of the Visual Pathways in Patients with Glaucoma
Aralaşmak A
Clinical neuroradiology 2019; 29: 615-621 (IGR: 20-1)


78527 Evidence for alterations in fixational eye movements in glaucoma
Fogagnolo P
BMC Ophthalmology 2018; 18: 191 (IGR: 20-1)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Wang H
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


78820 Noninvasive intracranial pressure assessment using otoacoustic emissions: An application in glaucoma
Jansonius NM
PLoS ONE 2018; 13: e0204939 (IGR: 20-1)


79298 Inner Retinal Changes in Primary Open-Angle Glaucoma Revealed Through Adaptive Optics-Optical Coherence Tomography
Weber P
Journal of Glaucoma 2018; 27: 1025-1028 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Moran R
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Wang Y
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Morris J
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79298 Inner Retinal Changes in Primary Open-Angle Glaucoma Revealed Through Adaptive Optics-Optical Coherence Tomography
Doble N
Journal of Glaucoma 2018; 27: 1025-1028 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Li XJ
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


79262 Magnetic Resonance Spectroscopy Features of the Visual Pathways in Patients with Glaucoma
Otçu Temur H
Clinical neuroradiology 2019; 29: 615-621 (IGR: 20-1)


78527 Evidence for alterations in fixational eye movements in glaucoma
Digiuni M
BMC Ophthalmology 2018; 18: 191 (IGR: 20-1)


79262 Magnetic Resonance Spectroscopy Features of the Visual Pathways in Patients with Glaucoma
Yurtsever İ
Clinical neuroradiology 2019; 29: 615-621 (IGR: 20-1)


78527 Evidence for alterations in fixational eye movements in glaucoma
Rossetti LM
BMC Ophthalmology 2018; 18: 191 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Chen YY
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Zhang X
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Zangwill LM
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Tang WJ
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Li T
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Weinreb RN; Nolan JM
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476 (IGR: 20-1)


79097 Diffusion Tensor Imaging Detects Microstructural Differences of Visual Pathway in Patients With Primary Open-Angle Glaucoma and Ocular Hypertension
Zhang YY
Frontiers in human neuroscience 2018; 12: 426 (IGR: 20-1)


78583 Reduced Cerebral Blood Flow in the Visual Cortex and Its Correlation With Glaucomatous Structural Damage to the Retina in Patients With Mild to Moderate Primary Open-angle Glaucoma
Wang N; Xian J
Journal of Glaucoma 2018; 27: 816-822 (IGR: 20-1)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma
Martin KR
American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


77893 Investigation of lateral geniculate nucleus volume and diffusion tensor imaging in patients with normal tension glaucoma using 7 tesla magnetic resonance imaging
Schmidt MA
PLoS ONE 2018; 13: e0198830 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Fukuda M
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


78075 Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
Wintergerst MWM
Scientific reports 2018; 8: 10228 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Yousefi S
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


78038 Quantification of blood flow in the superior ophthalmic vein using phase contrast magnetic resonance imaging
Promelle V
Experimental Eye Research 2018; 176: 40-45 (IGR: 19-4)


78018 Diacaustic examination of the iridocorneal angle : Video article
Zhuravlyov A
Ophthalmologe 2018; 115: 606-612 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Geyman LS
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


78250 Lacrimal Gland Changes on Orbital Imaging after Glaucoma Drainage Implant Surgery
Jacobs SM
Journal of ophthalmic & vision research 2018; 13: 219-223 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Omodaka K
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Kiwaki T
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma
Mansouri K
American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


78250 Lacrimal Gland Changes on Orbital Imaging after Glaucoma Drainage Implant Surgery
Mudumbai RC
Journal of ophthalmic & vision research 2018; 13: 219-223 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Suwan Y
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


77893 Investigation of lateral geniculate nucleus volume and diffusion tensor imaging in patients with normal tension glaucoma using 7 tesla magnetic resonance imaging
Knott M
PLoS ONE 2018; 13: e0198830 (IGR: 19-4)


78075 Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
Brinkmann CK
Scientific reports 2018; 8: 10228 (IGR: 19-4)


78038 Quantification of blood flow in the superior ophthalmic vein using phase contrast magnetic resonance imaging
Bouzerar R
Experimental Eye Research 2018; 176: 40-45 (IGR: 19-4)


78250 Lacrimal Gland Changes on Orbital Imaging after Glaucoma Drainage Implant Surgery
Amadi AJ
Journal of ophthalmic & vision research 2018; 13: 219-223 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Garg R
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


78075 Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
Holz FG
Scientific reports 2018; 8: 10228 (IGR: 19-4)


78038 Quantification of blood flow in the superior ophthalmic vein using phase contrast magnetic resonance imaging
Milazzo S
Experimental Eye Research 2018; 176: 40-45 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Tatewaki Y
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma
Weinreb RN
American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Zheng Y
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


77893 Investigation of lateral geniculate nucleus volume and diffusion tensor imaging in patients with normal tension glaucoma using 7 tesla magnetic resonance imaging
Heidemann R
PLoS ONE 2018; 13: e0198830 (IGR: 19-4)


78038 Quantification of blood flow in the superior ophthalmic vein using phase contrast magnetic resonance imaging
Balédent O
Experimental Eye Research 2018; 176: 40-45 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Sugiura H
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Field MG
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma
Wasilewicz R
American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Himori N
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


77893 Investigation of lateral geniculate nucleus volume and diffusion tensor imaging in patients with normal tension glaucoma using 7 tesla magnetic resonance imaging
Michelson G
PLoS ONE 2018; 13: e0198830 (IGR: 19-4)


78075 Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
Finger RP
Scientific reports 2018; 8: 10228 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Matsudaira I
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


77893 Investigation of lateral geniculate nucleus volume and diffusion tensor imaging in patients with normal tension glaucoma using 7 tesla magnetic resonance imaging
Kober T
PLoS ONE 2018; 13: e0198830 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Krawitz BD
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma
Gisler C
American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Asaoka R
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Mo S
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma
Hennebert J
American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Nishiguchi KM
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


77893 Investigation of lateral geniculate nucleus volume and diffusion tensor imaging in patients with normal tension glaucoma using 7 tesla magnetic resonance imaging
Dörfler A
PLoS ONE 2018; 13: e0198830 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Murata H
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Pinhas A
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Murata T
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


77893 Investigation of lateral geniculate nucleus volume and diffusion tensor imaging in patients with normal tension glaucoma using 7 tesla magnetic resonance imaging
Engelhorn T
PLoS ONE 2018; 13: e0198830 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Lemij H
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma
Genoud D
American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Ritch R
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


78207 Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma

American Journal of Ophthalmology 2018; 194: 46-53 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Taki Y
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


77956 Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning
Yamanishi K
American Journal of Ophthalmology 2018; 193: 71-79 (IGR: 19-4)


78084 Quantitative MRI evaluation of glaucomatous changes in the visual pathway
Nakazawa T
PLoS ONE 2018; 13: e0197027 (IGR: 19-4)


77687 Noninvasive Detection of Mitochondrial Dysfunction in Ocular Hypertension and Primary Open-angle Glaucoma
Rosen RB
Journal of Glaucoma 2018; 27: 592-599 (IGR: 19-4)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Wang Q
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


76887 Intraocular light scatter in patients on topical intraocular pressure-lowering medication
Pérez-Bartolomé F
European Journal of Ophthalmology 2018; 0: 1120672117753667 (IGR: 19-3)


77237 Active Lymphatic Drainage From the Eye Measured by Noninvasive Photoacoustic Imaging of Near-Infrared Nanoparticles
Yücel YH
Investigative Ophthalmology and Visual Science 2018; 59: 2699-2707 (IGR: 19-3)


76875 White Matter Abnormalities and Correlation With Severity in Normal Tension Glaucoma: A Whole Brain Atlas-Based Diffusion Tensor Study
Wang R
Investigative Ophthalmology and Visual Science 2018; 59: 1313-1322 (IGR: 19-3)


76880 Assessment of Corneal Changes Associated with Topical Antiglaucoma Therapy Using in vivo Confocal Microscopy
Baghdasaryan E
Ophthalmic Research 2018; 0: (IGR: 19-3)


76534 Microstructural visual pathway abnormalities in patients with primary glaucoma: 3 T diffusion kurtosis imaging study
Xu ZF
Clinical radiology 2018; 73: 591.e9-591.e15 (IGR: 19-3)


77260 Real-Time Imaging of Retinal Cell Apoptosis by Confocal Scanning Laser Ophthalmoscopy and Its Role in Glaucoma
Yang E
Frontiers in neurology 2018; 9: 338 (IGR: 19-3)


76880 Assessment of Corneal Changes Associated with Topical Antiglaucoma Therapy Using in vivo Confocal Microscopy
Tepelus TC
Ophthalmic Research 2018; 0: (IGR: 19-3)


77237 Active Lymphatic Drainage From the Eye Measured by Noninvasive Photoacoustic Imaging of Near-Infrared Nanoparticles
Cardinell K
Investigative Ophthalmology and Visual Science 2018; 59: 2699-2707 (IGR: 19-3)


76534 Microstructural visual pathway abnormalities in patients with primary glaucoma: 3 T diffusion kurtosis imaging study
Sun JS
Clinical radiology 2018; 73: 591.e9-591.e15 (IGR: 19-3)


76875 White Matter Abnormalities and Correlation With Severity in Normal Tension Glaucoma: A Whole Brain Atlas-Based Diffusion Tensor Study
Tang Z
Investigative Ophthalmology and Visual Science 2018; 59: 1313-1322 (IGR: 19-3)


76887 Intraocular light scatter in patients on topical intraocular pressure-lowering medication
Martínez de la Casa JM
European Journal of Ophthalmology 2018; 0: 1120672117753667 (IGR: 19-3)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Chen W
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


77260 Real-Time Imaging of Retinal Cell Apoptosis by Confocal Scanning Laser Ophthalmoscopy and Its Role in Glaucoma
Al-Mugheiry TS
Frontiers in neurology 2018; 9: 338 (IGR: 19-3)


76875 White Matter Abnormalities and Correlation With Severity in Normal Tension Glaucoma: A Whole Brain Atlas-Based Diffusion Tensor Study
Sun X
Investigative Ophthalmology and Visual Science 2018; 59: 1313-1322 (IGR: 19-3)


77260 Real-Time Imaging of Retinal Cell Apoptosis by Confocal Scanning Laser Ophthalmoscopy and Its Role in Glaucoma
Normando EM
Frontiers in neurology 2018; 9: 338 (IGR: 19-3)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Wang H
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


76887 Intraocular light scatter in patients on topical intraocular pressure-lowering medication
Arriola-Villalobos P
European Journal of Ophthalmology 2018; 0: 1120672117753667 (IGR: 19-3)


76534 Microstructural visual pathway abnormalities in patients with primary glaucoma: 3 T diffusion kurtosis imaging study
Zhang XH
Clinical radiology 2018; 73: 591.e9-591.e15 (IGR: 19-3)


77237 Active Lymphatic Drainage From the Eye Measured by Noninvasive Photoacoustic Imaging of Near-Infrared Nanoparticles
Khattak S
Investigative Ophthalmology and Visual Science 2018; 59: 2699-2707 (IGR: 19-3)


76880 Assessment of Corneal Changes Associated with Topical Antiglaucoma Therapy Using in vivo Confocal Microscopy
Vickers LA
Ophthalmic Research 2018; 0: (IGR: 19-3)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Zhang X
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


76887 Intraocular light scatter in patients on topical intraocular pressure-lowering medication
Fernández-Pérez C
European Journal of Ophthalmology 2018; 0: 1120672117753667 (IGR: 19-3)


77237 Active Lymphatic Drainage From the Eye Measured by Noninvasive Photoacoustic Imaging of Near-Infrared Nanoparticles
Zhou X
Investigative Ophthalmology and Visual Science 2018; 59: 2699-2707 (IGR: 19-3)


77260 Real-Time Imaging of Retinal Cell Apoptosis by Confocal Scanning Laser Ophthalmoscopy and Its Role in Glaucoma
Cordeiro MF
Frontiers in neurology 2018; 9: 338 (IGR: 19-3)


76875 White Matter Abnormalities and Correlation With Severity in Normal Tension Glaucoma: A Whole Brain Atlas-Based Diffusion Tensor Study
Wu L
Investigative Ophthalmology and Visual Science 2018; 59: 1313-1322 (IGR: 19-3)


76880 Assessment of Corneal Changes Associated with Topical Antiglaucoma Therapy Using in vivo Confocal Microscopy
Huang P
Ophthalmic Research 2018; 0: (IGR: 19-3)


76534 Microstructural visual pathway abnormalities in patients with primary glaucoma: 3 T diffusion kurtosis imaging study
Feng YY
Clinical radiology 2018; 73: 591.e9-591.e15 (IGR: 19-3)


76875 White Matter Abnormalities and Correlation With Severity in Normal Tension Glaucoma: A Whole Brain Atlas-Based Diffusion Tensor Study
Wang J
Investigative Ophthalmology and Visual Science 2018; 59: 1313-1322 (IGR: 19-3)


76880 Assessment of Corneal Changes Associated with Topical Antiglaucoma Therapy Using in vivo Confocal Microscopy
Chopra V
Ophthalmic Research 2018; 0: (IGR: 19-3)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Qu X
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


76534 Microstructural visual pathway abnormalities in patients with primary glaucoma: 3 T diffusion kurtosis imaging study
Pan AZ
Clinical radiology 2018; 73: 591.e9-591.e15 (IGR: 19-3)


77237 Active Lymphatic Drainage From the Eye Measured by Noninvasive Photoacoustic Imaging of Near-Infrared Nanoparticles
Lapinski M
Investigative Ophthalmology and Visual Science 2018; 59: 2699-2707 (IGR: 19-3)


76887 Intraocular light scatter in patients on topical intraocular pressure-lowering medication
García-Feijoó J
European Journal of Ophthalmology 2018; 0: 1120672117753667 (IGR: 19-3)


76875 White Matter Abnormalities and Correlation With Severity in Normal Tension Glaucoma: A Whole Brain Atlas-Based Diffusion Tensor Study
Zhong Y
Investigative Ophthalmology and Visual Science 2018; 59: 1313-1322 (IGR: 19-3)


76880 Assessment of Corneal Changes Associated with Topical Antiglaucoma Therapy Using in vivo Confocal Microscopy
Sadda SR
Ophthalmic Research 2018; 0: (IGR: 19-3)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Wang Y
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


76534 Microstructural visual pathway abnormalities in patients with primary glaucoma: 3 T diffusion kurtosis imaging study
Gao MY
Clinical radiology 2018; 73: 591.e9-591.e15 (IGR: 19-3)


77237 Active Lymphatic Drainage From the Eye Measured by Noninvasive Photoacoustic Imaging of Near-Infrared Nanoparticles
Cheng F; Gupta N
Investigative Ophthalmology and Visual Science 2018; 59: 2699-2707 (IGR: 19-3)


76534 Microstructural visual pathway abnormalities in patients with primary glaucoma: 3 T diffusion kurtosis imaging study
Zhao H
Clinical radiology 2018; 73: 591.e9-591.e15 (IGR: 19-3)


76880 Assessment of Corneal Changes Associated with Topical Antiglaucoma Therapy Using in vivo Confocal Microscopy
Lee OL
Ophthalmic Research 2018; 0: (IGR: 19-3)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Li T
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


76875 White Matter Abnormalities and Correlation With Severity in Normal Tension Glaucoma: A Whole Brain Atlas-Based Diffusion Tensor Study
Xiao Z
Investigative Ophthalmology and Visual Science 2018; 59: 1313-1322 (IGR: 19-3)


76966 Reduced Functional and Anatomic Interhemispheric Homotopic Connectivity in Primary Open-Angle Glaucoma: A Combined Resting State-fMRI and DTI Study
Wang N; Xian J
Investigative Ophthalmology and Visual Science 2018; 59: 1861-1868 (IGR: 19-3)


75275 Signal Alteration in the Optic Nerve Head on 3D T2-weighted MRI: a Potential Neuroimaging Sign of Glaucomatous Optic Neuropathy
Lee JY
Current Eye Research 2018; 43: 397-405 (IGR: 19-2)


75373 Flow dynamics of cerebrospinal fluid between the intracranial cavity and the subarachnoid space of the optic nerve measured with a diffusion magnetic resonance imaging sequence in patients with normal tension glaucoma
Boye D
Clinical and Experimental Ophthalmology 2018; 46: 511-518 (IGR: 19-2)


75275 Signal Alteration in the Optic Nerve Head on 3D T2-weighted MRI: a Potential Neuroimaging Sign of Glaucomatous Optic Neuropathy
Kwon HJ
Current Eye Research 2018; 43: 397-405 (IGR: 19-2)


75373 Flow dynamics of cerebrospinal fluid between the intracranial cavity and the subarachnoid space of the optic nerve measured with a diffusion magnetic resonance imaging sequence in patients with normal tension glaucoma
Montali M; Miller NR
Clinical and Experimental Ophthalmology 2018; 46: 511-518 (IGR: 19-2)


75275 Signal Alteration in the Optic Nerve Head on 3D T2-weighted MRI: a Potential Neuroimaging Sign of Glaucomatous Optic Neuropathy
Park SJ; Yoo C
Current Eye Research 2018; 43: 397-405 (IGR: 19-2)


75373 Flow dynamics of cerebrospinal fluid between the intracranial cavity and the subarachnoid space of the optic nerve measured with a diffusion magnetic resonance imaging sequence in patients with normal tension glaucoma
Pircher A
Clinical and Experimental Ophthalmology 2018; 46: 511-518 (IGR: 19-2)


75275 Signal Alteration in the Optic Nerve Head on 3D T2-weighted MRI: a Potential Neuroimaging Sign of Glaucomatous Optic Neuropathy
Kim YY
Current Eye Research 2018; 43: 397-405 (IGR: 19-2)


75373 Flow dynamics of cerebrospinal fluid between the intracranial cavity and the subarachnoid space of the optic nerve measured with a diffusion magnetic resonance imaging sequence in patients with normal tension glaucoma
Gruber P
Clinical and Experimental Ophthalmology 2018; 46: 511-518 (IGR: 19-2)


75275 Signal Alteration in the Optic Nerve Head on 3D T2-weighted MRI: a Potential Neuroimaging Sign of Glaucomatous Optic Neuropathy
Kim EY
Current Eye Research 2018; 43: 397-405 (IGR: 19-2)


75373 Flow dynamics of cerebrospinal fluid between the intracranial cavity and the subarachnoid space of the optic nerve measured with a diffusion magnetic resonance imaging sequence in patients with normal tension glaucoma
Killer HE; Remonda L; Berberat J
Clinical and Experimental Ophthalmology 2018; 46: 511-518 (IGR: 19-2)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Hondur G
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74357 Evaluation of Bleb Fluid After Baerveldt Glaucoma Implantation Using Magnetic Resonance Imaging
Iwasaki K
Scientific reports 2017; 7: 11345 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Demer JL
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Göktas E
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Clark RA
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74357 Evaluation of Bleb Fluid After Baerveldt Glaucoma Implantation Using Magnetic Resonance Imaging
Kanamoto M
Scientific reports 2017; 7: 11345 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Suh SY
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74357 Evaluation of Bleb Fluid After Baerveldt Glaucoma Implantation Using Magnetic Resonance Imaging
Takihara Y
Scientific reports 2017; 7: 11345 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Yang X; Al-Aswad L
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74357 Evaluation of Bleb Fluid After Baerveldt Glaucoma Implantation Using Magnetic Resonance Imaging
Arimura S
Scientific reports 2017; 7: 11345 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Giaconi JA; Nouri-Mahdavi K
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Auran JD
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74357 Evaluation of Bleb Fluid After Baerveldt Glaucoma Implantation Using Magnetic Resonance Imaging
Takamura Y
Scientific reports 2017; 7: 11345 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Law SK
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Blumberg DM
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74357 Evaluation of Bleb Fluid After Baerveldt Glaucoma Implantation Using Magnetic Resonance Imaging
Kimura H; Inatani M
Scientific reports 2017; 7: 11345 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Cioffi GA
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Bonelli L
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Liebmann JM
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Coleman AL
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Suh LH
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


74199 Magnetic Resonance Imaging of Optic Nerve Traction During Adduction in Primary Open-Angle Glaucoma With Normal Intraocular Pressure
Caprioli J
Investigative Ophthalmology and Visual Science 2017; 58: 4114-4125 (IGR: 19-1)


74184 Oxidative Stress-Related Molecular Biomarker Candidates for Glaucoma
Trief D; Tezel G
Investigative Ophthalmology and Visual Science 2017; 58: 4078-4088 (IGR: 19-1)


72963 Relationship between the optic nerve sheath diameter and lumbar cerebrospinal fluid pressure in patients with normal tension glaucoma
Pircher A
Eye 2017; 31: 1365-1372 (IGR: 18-4)


72699 Magnetic Resonance Imaging Characteristics of a Baerveldt Glaucoma Implant
Anderson DM
Journal of Glaucoma 2017; 26: 534-540 (IGR: 18-4)


72954 Disrupted Eye Movements in Preperimetric Primary Open-Angle Glaucoma
Najjar RP
Investigative Ophthalmology and Visual Science 2017; 58: 2430-2437 (IGR: 18-4)


72713 An introduction to DARC technology
Ahmad SS
Saudi Journal of Ophthalmology 2017; 31: 38-41 (IGR: 18-4)


72963 Relationship between the optic nerve sheath diameter and lumbar cerebrospinal fluid pressure in patients with normal tension glaucoma
Montali M
Eye 2017; 31: 1365-1372 (IGR: 18-4)


72699 Magnetic Resonance Imaging Characteristics of a Baerveldt Glaucoma Implant
Schwope RB
Journal of Glaucoma 2017; 26: 534-540 (IGR: 18-4)


72954 Disrupted Eye Movements in Preperimetric Primary Open-Angle Glaucoma
Sharma S; Drouet M
Investigative Ophthalmology and Visual Science 2017; 58: 2430-2437 (IGR: 18-4)


72963 Relationship between the optic nerve sheath diameter and lumbar cerebrospinal fluid pressure in patients with normal tension glaucoma
Berberat J
Eye 2017; 31: 1365-1372 (IGR: 18-4)


72699 Magnetic Resonance Imaging Characteristics of a Baerveldt Glaucoma Implant
Reiter MJ
Journal of Glaucoma 2017; 26: 534-540 (IGR: 18-4)


72954 Disrupted Eye Movements in Preperimetric Primary Open-Angle Glaucoma
Leruez S
Investigative Ophthalmology and Visual Science 2017; 58: 2430-2437 (IGR: 18-4)


72963 Relationship between the optic nerve sheath diameter and lumbar cerebrospinal fluid pressure in patients with normal tension glaucoma
Remonda L
Eye 2017; 31: 1365-1372 (IGR: 18-4)


72699 Magnetic Resonance Imaging Characteristics of a Baerveldt Glaucoma Implant
Suhr AW
Journal of Glaucoma 2017; 26: 534-540 (IGR: 18-4)


72963 Relationship between the optic nerve sheath diameter and lumbar cerebrospinal fluid pressure in patients with normal tension glaucoma
Killer HE
Eye 2017; 31: 1365-1372 (IGR: 18-4)


72954 Disrupted Eye Movements in Preperimetric Primary Open-Angle Glaucoma
Baskaran M; Nongpiur ME; Aung T; Fielding J; White O; Girard MJ; Lamirel C; Milea D
Investigative Ophthalmology and Visual Science 2017; 58: 2430-2437 (IGR: 18-4)


71057 MRI Study of the Posterior Visual Pathways in Primary Open Angle Glaucoma
Zhou W
Journal of Glaucoma 2017; 26: 173-181 (IGR: 18-3)


71322 Comparison of anterior segment measurements with LenStar and Pentacam in patients with newly diagnosed glaucoma
Sen E
International Ophthalmology 2018; 38: 171-174 (IGR: 18-3)


71535 Retinotopic fMRI Reveals Visual Dysfunction and Functional Reorganization in the Visual Cortex of Mild to Moderate Glaucoma Patients
Zhou W
Journal of Glaucoma 2017; 26: 430-437 (IGR: 18-3)


71530 Study of optic radiations in patients with primary open-angle glaucoma with diffusion tensor imaging
Li T
Zhonghua Yi Xue Za Zhi 2017; 97: 347-352 (IGR: 18-3)


71613 Diffusion tensor imaging of the visual pathway in glaucomatous optic nerve atrophy
Engelhorn T
Ophthalmologe 2017; 114: 906-921 (IGR: 18-3)


71605 Structural and functional brain changes in early- and mid-stage primary open-angle glaucoma using voxel-based morphometry and functional magnetic resonance imaging
Jiang MM
Medicine 2017; 96: e6139 (IGR: 18-3)


71613 Diffusion tensor imaging of the visual pathway in glaucomatous optic nerve atrophy
A Schmidt M
Ophthalmologe 2017; 114: 906-921 (IGR: 18-3)


71057 MRI Study of the Posterior Visual Pathways in Primary Open Angle Glaucoma
Muir ER
Journal of Glaucoma 2017; 26: 173-181 (IGR: 18-3)


71530 Study of optic radiations in patients with primary open-angle glaucoma with diffusion tensor imaging
Miao W
Zhonghua Yi Xue Za Zhi 2017; 97: 347-352 (IGR: 18-3)


71605 Structural and functional brain changes in early- and mid-stage primary open-angle glaucoma using voxel-based morphometry and functional magnetic resonance imaging
Zhou Q
Medicine 2017; 96: e6139 (IGR: 18-3)


71535 Retinotopic fMRI Reveals Visual Dysfunction and Functional Reorganization in the Visual Cortex of Mild to Moderate Glaucoma Patients
Muir ER
Journal of Glaucoma 2017; 26: 430-437 (IGR: 18-3)


71322 Comparison of anterior segment measurements with LenStar and Pentacam in patients with newly diagnosed glaucoma
Inanc M
International Ophthalmology 2018; 38: 171-174 (IGR: 18-3)


71530 Study of optic radiations in patients with primary open-angle glaucoma with diffusion tensor imaging
He HG
Zhonghua Yi Xue Za Zhi 2017; 97: 347-352 (IGR: 18-3)


71605 Structural and functional brain changes in early- and mid-stage primary open-angle glaucoma using voxel-based morphometry and functional magnetic resonance imaging
Liu XY
Medicine 2017; 96: e6139 (IGR: 18-3)


71613 Diffusion tensor imaging of the visual pathway in glaucomatous optic nerve atrophy
Dörfler A
Ophthalmologe 2017; 114: 906-921 (IGR: 18-3)


71322 Comparison of anterior segment measurements with LenStar and Pentacam in patients with newly diagnosed glaucoma
Elgin U
International Ophthalmology 2018; 38: 171-174 (IGR: 18-3)


71535 Retinotopic fMRI Reveals Visual Dysfunction and Functional Reorganization in the Visual Cortex of Mild to Moderate Glaucoma Patients
Nagi KS
Journal of Glaucoma 2017; 26: 430-437 (IGR: 18-3)


71057 MRI Study of the Posterior Visual Pathways in Primary Open Angle Glaucoma
Chalfin S
Journal of Glaucoma 2017; 26: 173-181 (IGR: 18-3)


71613 Diffusion tensor imaging of the visual pathway in glaucomatous optic nerve atrophy
Michelson G
Ophthalmologe 2017; 114: 906-921 (IGR: 18-3)


71322 Comparison of anterior segment measurements with LenStar and Pentacam in patients with newly diagnosed glaucoma
Yilmazbas P
International Ophthalmology 2018; 38: 171-174 (IGR: 18-3)


71535 Retinotopic fMRI Reveals Visual Dysfunction and Functional Reorganization in the Visual Cortex of Mild to Moderate Glaucoma Patients
Chalfin S
Journal of Glaucoma 2017; 26: 430-437 (IGR: 18-3)


71057 MRI Study of the Posterior Visual Pathways in Primary Open Angle Glaucoma
Nagi KS
Journal of Glaucoma 2017; 26: 173-181 (IGR: 18-3)


71605 Structural and functional brain changes in early- and mid-stage primary open-angle glaucoma using voxel-based morphometry and functional magnetic resonance imaging
Shi CZ
Medicine 2017; 96: e6139 (IGR: 18-3)


71530 Study of optic radiations in patients with primary open-angle glaucoma with diffusion tensor imaging
Xian JF
Zhonghua Yi Xue Za Zhi 2017; 97: 347-352 (IGR: 18-3)


71535 Retinotopic fMRI Reveals Visual Dysfunction and Functional Reorganization in the Visual Cortex of Mild to Moderate Glaucoma Patients
Rodriguez P
Journal of Glaucoma 2017; 26: 430-437 (IGR: 18-3)


71605 Structural and functional brain changes in early- and mid-stage primary open-angle glaucoma using voxel-based morphometry and functional magnetic resonance imaging
Chen J
Medicine 2017; 96: e6139 (IGR: 18-3)


71057 MRI Study of the Posterior Visual Pathways in Primary Open Angle Glaucoma
Duong TQ
Journal of Glaucoma 2017; 26: 173-181 (IGR: 18-3)


71535 Retinotopic fMRI Reveals Visual Dysfunction and Functional Reorganization in the Visual Cortex of Mild to Moderate Glaucoma Patients
Duong TQ
Journal of Glaucoma 2017; 26: 430-437 (IGR: 18-3)


71605 Structural and functional brain changes in early- and mid-stage primary open-angle glaucoma using voxel-based morphometry and functional magnetic resonance imaging
Huang XH
Medicine 2017; 96: e6139 (IGR: 18-3)


70325 Altered functional connectivity within and between the default model network and the visual network in primary open-angle glaucoma: a resting-state fMRI study
Wang J
Brain imaging and behavior 2017; 11: 1154-1163 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Tellouck L
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Murphy MC
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Ho LC
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70360 Imaging characteristics of the postoperative globe: a pictorial essay
Ito Y
Japanese journal of radiology 2016; 34: 779-785 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Li S
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
Shen HH
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


70163 Magnetic Resonance Imaging of Cyclodialysis Cleft Before and After Cyclopexy
Jeong JH
Journal of Glaucoma 2017; 26: e15-e18 (IGR: 18-2)


69957 Early changes of brain connectivity in primary open angle glaucoma
Frezzotti P
Human Brain Mapping 2016; 37: 4581-4596 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
Liu GS
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


69957 Early changes of brain connectivity in primary open angle glaucoma
Giorgio A
Human Brain Mapping 2016; 37: 4581-4596 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Durieux M
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70163 Magnetic Resonance Imaging of Cyclodialysis Cleft Before and After Cyclopexy
Jeoung JW
Journal of Glaucoma 2017; 26: e15-e18 (IGR: 18-2)


70325 Altered functional connectivity within and between the default model network and the visual network in primary open-angle glaucoma: a resting-state fMRI study
Li T
Brain imaging and behavior 2017; 11: 1154-1163 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Sigal IA
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70360 Imaging characteristics of the postoperative globe: a pictorial essay
Yamazaki I
Japanese journal of radiology 2016; 34: 779-785 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Li P
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Conner IP
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Gong H
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


70360 Imaging characteristics of the postoperative globe: a pictorial essay
Kikuchi Y
Japanese journal of radiology 2016; 34: 779-785 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
Chow SH
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Jan NJ
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70163 Magnetic Resonance Imaging of Cyclodialysis Cleft Before and After Cyclopexy
Moon NJ
Journal of Glaucoma 2017; 26: e15-e18 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Teng CY
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Coupé P
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


69957 Early changes of brain connectivity in primary open angle glaucoma
Toto F
Human Brain Mapping 2016; 37: 4581-4596 (IGR: 18-2)


70325 Altered functional connectivity within and between the default model network and the visual network in primary open-angle glaucoma: a resting-state fMRI study
Zhou P
Brain imaging and behavior 2017; 11: 1154-1163 (IGR: 18-2)


70360 Imaging characteristics of the postoperative globe: a pictorial essay
O'uchi E
Japanese journal of radiology 2016; 34: 779-785 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Cougnard-Grégoire A
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Yang X
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Jiang F
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Lawrence JD
Scientific reports 2016; 6: 31464 (IGR: 18-2)


69957 Early changes of brain connectivity in primary open angle glaucoma
De Leucio A
Human Brain Mapping 2016; 37: 4581-4596 (IGR: 18-2)


70325 Altered functional connectivity within and between the default model network and the visual network in primary open-angle glaucoma: a resting-state fMRI study
Wang N
Brain imaging and behavior 2017; 11: 1154-1163 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
Wang JH
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Safiullah Z
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
He Z
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


70325 Altered functional connectivity within and between the default model network and the visual network in primary open-angle glaucoma: a resting-state fMRI study
Xian J
Brain imaging and behavior 2017; 11: 1154-1163 (IGR: 18-2)


69957 Early changes of brain connectivity in primary open angle glaucoma
De Stefano N
Human Brain Mapping 2016; 37: 4581-4596 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Tellouck J
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Liu D
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
van der Merwe Y
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70360 Imaging characteristics of the postoperative globe: a pictorial essay
O'uchi T; Kato H
Japanese journal of radiology 2016; 34: 779-785 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Cai F
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Wang B
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
Nguyen C
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


70325 Altered functional connectivity within and between the default model network and the visual network in primary open-angle glaucoma: a resting-state fMRI study
He H
Brain imaging and behavior 2017; 11: 1154-1163 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Tourdias T
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Yu Y
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Pei C
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
Lin TW
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Munsch F
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Chau Y
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70360 Imaging characteristics of the postoperative globe: a pictorial essay
Hotta K
Japanese journal of radiology 2016; 34: 779-785 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Bilonick RA
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Garrigues A
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Leung CK
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Zhou F
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Kim SG
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70333 Intraocular Pressure Induced Retinal Changes Identified Using Synchrotron Infrared Microscopy
Bui BV
PLoS ONE 2016; 11: e0164035 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Conner IP
Scientific reports 2016; 6: 32080 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Wollstein G
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Helmer C
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70904 Intrinsic Functional Connectivity Alterations of the Primary Visual Cortex in Primary Angle-Closure Glaucoma Patients before and after Surgery: A Resting-State fMRI Study
Zeng X
PLoS ONE 2017; 12: e0170598 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Schuman JS
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Malet F
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Jin T
Scientific reports 2016; 6: 32080 (IGR: 18-2)


69972 Retinal Structures and Visual Cortex Activity are Impaired Prior to Clinical Vision Loss in Glaucoma
Chan KC
Scientific reports 2016; 6: 31464 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Wu EX
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Dartigues JF
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Kim SG
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Dousset V
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Wollstein G
Scientific reports 2016; 6: 32080 (IGR: 18-2)


70679 Optic Radiations Microstructural Changes in Glaucoma and Association With Severity: A Study Using 3Tesla-Magnetic Resonance Diffusion Tensor Imaging
Delcourt C; Schweitzer C
Investigative Ophthalmology and Visual Science 2016; 57: 6539-6547 (IGR: 18-2)


70088 Non-invasive MRI Assessments of Tissue Microstructures and Macromolecules in the Eye upon Biomechanical or Biochemical Modulation
Schuman JS; Chan KC
Scientific reports 2016; 6: 32080 (IGR: 18-2)


68913 Elevated neutrophil-to-lymphocyte ratio in pseudoexfoliation syndrome
Kurtul BE; Ozer PA; Kabatas EU
Eye 2016; 30: 1045-1048 (IGR: 18-1)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Ji Y
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


66724 Primary Open Angle Glaucoma is Associated with MR Biomarkers of Cerebral Small Vessel Disease
Mercieca K
Scientific reports 2016; 6: 22160 (IGR: 17-4)


66808 Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients
Wang J
European radiology 2016; 26: 3957-3967 (IGR: 17-4)


67315 In vivo proton magnetic resonance spectroscopy (1H-MRS) evaluation of the metabolite concentration of optic radiation in primary open angle glaucoma
Sidek S
European radiology 2016; 26: 4404-4412 (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Zwillinger S
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


67508 Using magnetic resonance imaging to assess visual deficits: a review
Brown HD
Ophthalmic and Physiological Optics 2016; 36: 240-265 (IGR: 17-4)


67315 In vivo proton magnetic resonance spectroscopy (1H-MRS) evaluation of the metabolite concentration of optic radiation in primary open angle glaucoma
Ramli N
European radiology 2016; 26: 4404-4412 (IGR: 17-4)


67508 Using magnetic resonance imaging to assess visual deficits: a review
Woodall RL
Ophthalmic and Physiological Optics 2016; 36: 240-265 (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Paques M
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


66808 Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients
Li T
European radiology 2016; 26: 3957-3967 (IGR: 17-4)


66724 Primary Open Angle Glaucoma is Associated with MR Biomarkers of Cerebral Small Vessel Disease
Cain J
Scientific reports 2016; 6: 22160 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Zuo C
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67315 In vivo proton magnetic resonance spectroscopy (1H-MRS) evaluation of the metabolite concentration of optic radiation in primary open angle glaucoma
Rahmat K
European radiology 2016; 26: 4404-4412 (IGR: 17-4)


66724 Primary Open Angle Glaucoma is Associated with MR Biomarkers of Cerebral Small Vessel Disease
Hansen T
Scientific reports 2016; 6: 22160 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Lin M
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67508 Using magnetic resonance imaging to assess visual deficits: a review
Kitching RE
Ophthalmic and Physiological Optics 2016; 36: 240-265 (IGR: 17-4)


66808 Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients
Wang N
European radiology 2016; 26: 3957-3967 (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Safran B
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


67508 Using magnetic resonance imaging to assess visual deficits: a review
Baseler HA
Ophthalmic and Physiological Optics 2016; 36: 240-265 (IGR: 17-4)


66808 Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients
Xian J
European radiology 2016; 26: 3957-3967 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Zhang X
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


66684 In vivo characterization of lamina cribrosa pore morphology in primary open-angle glaucoma
Baudouin C
Journal Français d'Ophtalmologie 2016; 39: 265-271 (IGR: 17-4)


67315 In vivo proton magnetic resonance spectroscopy (1H-MRS) evaluation of the metabolite concentration of optic radiation in primary open angle glaucoma
Ramli NM
European radiology 2016; 26: 4404-4412 (IGR: 17-4)


66724 Primary Open Angle Glaucoma is Associated with MR Biomarkers of Cerebral Small Vessel Disease
Steeples L
Scientific reports 2016; 6: 22160 (IGR: 17-4)


67315 In vivo proton magnetic resonance spectroscopy (1H-MRS) evaluation of the metabolite concentration of optic radiation in primary open angle glaucoma
Abdulrahman F
European radiology 2016; 26: 4404-4412 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Li M
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


67508 Using magnetic resonance imaging to assess visual deficits: a review
Morland AB
Ophthalmic and Physiological Optics 2016; 36: 240-265 (IGR: 17-4)


66808 Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients
He H
European radiology 2016; 26: 3957-3967 (IGR: 17-4)


66724 Primary Open Angle Glaucoma is Associated with MR Biomarkers of Cerebral Small Vessel Disease
Watkins A; Spencer F
Scientific reports 2016; 6: 22160 (IGR: 17-4)


67315 In vivo proton magnetic resonance spectroscopy (1H-MRS) evaluation of the metabolite concentration of optic radiation in primary open angle glaucoma
Kuo TL
European radiology 2016; 26: 4404-4412 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Mi L
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


66724 Primary Open Angle Glaucoma is Associated with MR Biomarkers of Cerebral Small Vessel Disease
Jackson A
Scientific reports 2016; 6: 22160 (IGR: 17-4)


67459 Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method
Liu B; Wen F
Journal of Ophthalmology 2016; 2016: 2792103 (IGR: 17-4)


65993 Selective reduction of fMRI responses to transient achromatic stimuli in the magnocellular layers of the LGN and the superficial layer of the SC of early glaucoma patients
Zhang P
Human Brain Mapping 2016; 37: 558-569 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Pavlatos E
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66603 Saccadic vector optokinetic perimetry in children with neurodisability or isolated visual pathway lesions: observational cohort study
Tailor V
British Journal of Ophthalmology 2016; 100: 1427-1432 (IGR: 17-3)


66251 Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging
Saraswathy S
PLoS ONE 2016; 11: e0147176 (IGR: 17-3)


65903 Imaging mass spectrometry of the visual system: Advancing the molecular understanding of retina degenerations
Bowrey HE
Proteomics - Clinical Applications 2016; 10: 391-402 (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Kahloun R
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


66553 Diaphanoscopy in cyclophotocoagulation
Wecker T
Ophthalmologe 2016; 113: 171-174 (IGR: 17-3)


66383 Assessment of Filtration Bleb and Endplate Positioning Using Magnetic Resonance Imaging in Eyes Implanted with Long-Tube Glaucoma Drainage Devices
Sano I
PLoS ONE 2015; 10: e0144595 (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Wang J
Scientific reports 2016; 6: 18969 (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Attia S
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Li T
Scientific reports 2016; 6: 18969 (IGR: 17-3)


65993 Selective reduction of fMRI responses to transient achromatic stimuli in the magnocellular layers of the LGN and the superficial layer of the SC of early glaucoma patients
Wen W
Human Brain Mapping 2016; 37: 558-569 (IGR: 17-3)


66251 Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging
Tan JC
PLoS ONE 2016; 11: e0147176 (IGR: 17-3)


65903 Imaging mass spectrometry of the visual system: Advancing the molecular understanding of retina degenerations
Anderson DM
Proteomics - Clinical Applications 2016; 10: 391-402 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Perez BC
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66603 Saccadic vector optokinetic perimetry in children with neurodisability or isolated visual pathway lesions: observational cohort study
Glaze S
British Journal of Ophthalmology 2016; 100: 1427-1432 (IGR: 17-3)


66383 Assessment of Filtration Bleb and Endplate Positioning Using Magnetic Resonance Imaging in Eyes Implanted with Long-Tube Glaucoma Drainage Devices
Tanito M
PLoS ONE 2015; 10: e0144595 (IGR: 17-3)


66553 Diaphanoscopy in cyclophotocoagulation
Jordan JF
Ophthalmologe 2016; 113: 171-174 (IGR: 17-3)


66251 Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging
Yu F
PLoS ONE 2016; 11: e0147176 (IGR: 17-3)


65903 Imaging mass spectrometry of the visual system: Advancing the molecular understanding of retina degenerations
Pallitto P
Proteomics - Clinical Applications 2016; 10: 391-402 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Morris HJ
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66553 Diaphanoscopy in cyclophotocoagulation
van Oterendorp C
Ophthalmologe 2016; 113: 171-174 (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Sabel BA
Scientific reports 2016; 6: 18969 (IGR: 17-3)


66383 Assessment of Filtration Bleb and Endplate Positioning Using Magnetic Resonance Imaging in Eyes Implanted with Long-Tube Glaucoma Drainage Devices
Uchida K
PLoS ONE 2015; 10: e0144595 (IGR: 17-3)


66603 Saccadic vector optokinetic perimetry in children with neurodisability or isolated visual pathway lesions: observational cohort study
Unwin H
British Journal of Ophthalmology 2016; 100: 1427-1432 (IGR: 17-3)


65993 Selective reduction of fMRI responses to transient achromatic stimuli in the magnocellular layers of the LGN and the superficial layer of the SC of early glaucoma patients
Sun X
Human Brain Mapping 2016; 37: 558-569 (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Ksiaa I
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Chen H
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Chen Z
Scientific reports 2016; 6: 18969 (IGR: 17-3)


65993 Selective reduction of fMRI responses to transient achromatic stimuli in the magnocellular layers of the LGN and the superficial layer of the SC of early glaucoma patients
He S
Human Brain Mapping 2016; 37: 558-569 (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Kacem I
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


66383 Assessment of Filtration Bleb and Endplate Positioning Using Magnetic Resonance Imaging in Eyes Implanted with Long-Tube Glaucoma Drainage Devices
Katsube T
PLoS ONE 2015; 10: e0144595 (IGR: 17-3)


66603 Saccadic vector optokinetic perimetry in children with neurodisability or isolated visual pathway lesions: observational cohort study
Bowman R
British Journal of Ophthalmology 2016; 100: 1427-1432 (IGR: 17-3)


65903 Imaging mass spectrometry of the visual system: Advancing the molecular understanding of retina degenerations
Gutierrez DB
Proteomics - Clinical Applications 2016; 10: 391-402 (IGR: 17-3)


66251 Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging
Francis BA
PLoS ONE 2016; 11: e0147176 (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Wen H
Scientific reports 2016; 6: 18969 (IGR: 17-3)


66383 Assessment of Filtration Bleb and Endplate Positioning Using Magnetic Resonance Imaging in Eyes Implanted with Long-Tube Glaucoma Drainage Devices
Kitagaki H
PLoS ONE 2015; 10: e0144595 (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Bouanene I
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


65903 Imaging mass spectrometry of the visual system: Advancing the molecular understanding of retina degenerations
Fan J
Proteomics - Clinical Applications 2016; 10: 391-402 (IGR: 17-3)


66603 Saccadic vector optokinetic perimetry in children with neurodisability or isolated visual pathway lesions: observational cohort study
Thompson G
British Journal of Ophthalmology 2016; 100: 1427-1432 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Palko JR
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66251 Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging
Hinton DR
PLoS ONE 2016; 11: e0147176 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Pan X
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Zaouali S
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


66383 Assessment of Filtration Bleb and Endplate Positioning Using Magnetic Resonance Imaging in Eyes Implanted with Long-Tube Glaucoma Drainage Devices
Ohira A
PLoS ONE 2015; 10: e0144595 (IGR: 17-3)


66603 Saccadic vector optokinetic perimetry in children with neurodisability or isolated visual pathway lesions: observational cohort study
Dahlmann-Noor A
British Journal of Ophthalmology 2016; 100: 1427-1432 (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Li J
Scientific reports 2016; 6: 18969 (IGR: 17-3)


65903 Imaging mass spectrometry of the visual system: Advancing the molecular understanding of retina degenerations
Crouch RK
Proteomics - Clinical Applications 2016; 10: 391-402 (IGR: 17-3)


66251 Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging
Weinreb RN
PLoS ONE 2016; 11: e0147176 (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Jelliti B
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


66251 Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging
Huang AS
PLoS ONE 2016; 11: e0147176 (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Xie X
Scientific reports 2016; 6: 18969 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Weber PA
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


65903 Imaging mass spectrometry of the visual system: Advancing the molecular understanding of retina degenerations
Schey KL; Ablonczy Z
Proteomics - Clinical Applications 2016; 10: 391-402 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Hart RT
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Yang D
Scientific reports 2016; 6: 18969 (IGR: 17-3)


66550 Anterior chamber aqueous flare, pseudoexfoliation syndrome, and glaucoma
Khairallah M
International Ophthalmology 2016; 36: 671-674 (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Chen W
Scientific reports 2016; 6: 18969 (IGR: 17-3)


66616 Three-Dimensional Strains in Human Posterior Sclera Using Ultrasound Speckle Tracking
Liu J
Journal of Biomechanical Engineering 2016; 138: (IGR: 17-3)


66600 Structural brain alterations in primary open angle glaucoma: a 3T MRI study
Wang N; Xian J; He H
Scientific reports 2016; 6: 18969 (IGR: 17-3)


61743 Change in corneal hysteresis over time in normal, glaucomatous and diabetic eyes
Hussnain SA
Acta Ophthalmologica 2015; 93: e627-e630 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Huang X
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


60984 TH-CD-207-08: Neurodegeneration of the Visual Pathway in Mild Glaucoma Assessed by MRI
Zhou W
Medical Physics 2015; 42: 3736 (IGR: 17-1)


61702 Disturbed temporal dynamics of brain synchronization in vision loss
Bola M
Cortex; a journal devoted to the study of the nervous system and behavior 2015; 67: 134-146 (IGR: 17-1)


61696 Effect of topical anti-glaucoma medications on late pupillary light reflex, as evaluated by pupillometry
Ba-Ali S
Frontiers in neurology 2015; 6: 93 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Gerente VM
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61326 Biomechanical assessment in models of glaucomatous optic neuropathy
Nguyen TD
Experimental Eye Research 2015; 141: 125-138 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Waisbourd M
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61272 Functional Magnetic Resonance Imaging in Selected Eye Diseases
Lešták J
?eska a Slovenska Oftalmologie 2015; 71: 127-133 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Mastropasqua R
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61768 Cerebral glucose metabolism in the striate cortex positively correlates with fractional anisotropy values of the optic radiation in patients with glaucoma
Murai H
Clinical and Experimental Ophthalmology 2015; 43: 711-719 (IGR: 17-1)


61326 Biomechanical assessment in models of glaucomatous optic neuropathy
Ethier CR
Experimental Eye Research 2015; 141: 125-138 (IGR: 17-1)


61696 Effect of topical anti-glaucoma medications on late pupillary light reflex, as evaluated by pupillometry
Sander B
Frontiers in neurology 2015; 6: 93 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Schor RR
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61743 Change in corneal hysteresis over time in normal, glaucomatous and diabetic eyes
Alsberge JB
Acta Ophthalmologica 2015; 93: e627-e630 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Zhong YL
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


60984 TH-CD-207-08: Neurodegeneration of the Visual Pathway in Mild Glaucoma Assessed by MRI
Muir E
Medical Physics 2015; 42: 3736 (IGR: 17-1)


61272 Functional Magnetic Resonance Imaging in Selected Eye Diseases
Tintěra J
?eska a Slovenska Oftalmologie 2015; 71: 127-133 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Lee B
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61702 Disturbed temporal dynamics of brain synchronization in vision loss
Gall C
Cortex; a journal devoted to the study of the nervous system and behavior 2015; 67: 134-146 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Agnifili L
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61768 Cerebral glucose metabolism in the striate cortex positively correlates with fractional anisotropy values of the optic radiation in patients with glaucoma
Suzuki Y
Clinical and Experimental Ophthalmology 2015; 43: 711-719 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Chaim KT
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Mattei PA
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61696 Effect of topical anti-glaucoma medications on late pupillary light reflex, as evaluated by pupillometry
Brøndsted AE
Frontiers in neurology 2015; 6: 93 (IGR: 17-1)


61768 Cerebral glucose metabolism in the striate cortex positively correlates with fractional anisotropy values of the optic radiation in patients with glaucoma
Kiyosawa M
Clinical and Experimental Ophthalmology 2015; 43: 711-719 (IGR: 17-1)


61743 Change in corneal hysteresis over time in normal, glaucomatous and diabetic eyes
Ehrlich JR
Acta Ophthalmologica 2015; 93: e627-e630 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Zeng XJ
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


60984 TH-CD-207-08: Neurodegeneration of the Visual Pathway in Mild Glaucoma Assessed by MRI
Li W
Medical Physics 2015; 42: 3736 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Ali MH
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61702 Disturbed temporal dynamics of brain synchronization in vision loss
Sabel BA
Cortex; a journal devoted to the study of the nervous system and behavior 2015; 67: 134-146 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Zhou F
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


60984 TH-CD-207-08: Neurodegeneration of the Visual Pathway in Mild Glaucoma Assessed by MRI
Clarke G
Medical Physics 2015; 42: 3736 (IGR: 17-1)


61743 Change in corneal hysteresis over time in normal, glaucomatous and diabetic eyes
Shimmyo M
Acta Ophthalmologica 2015; 93: e627-e630 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Lu L
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61768 Cerebral glucose metabolism in the striate cortex positively correlates with fractional anisotropy values of the optic radiation in patients with glaucoma
Tokumaru AM
Clinical and Experimental Ophthalmology 2015; 43: 711-719 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Caulo M
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61696 Effect of topical anti-glaucoma medications on late pupillary light reflex, as evaluated by pupillometry
Lund-Andersen H
Frontiers in neurology 2015; 6: 93 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Felix Mde M
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Martinez P
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61768 Cerebral glucose metabolism in the striate cortex positively correlates with fractional anisotropy values of the optic radiation in patients with glaucoma
Ishiwata K
Clinical and Experimental Ophthalmology 2015; 43: 711-719 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Fasanella V
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Ventura DF
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Liu XH
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


60984 TH-CD-207-08: Neurodegeneration of the Visual Pathway in Mild Glaucoma Assessed by MRI
Duong T
Medical Physics 2015; 42: 3736 (IGR: 17-1)


61743 Change in corneal hysteresis over time in normal, glaucomatous and diabetic eyes
Radcliffe NM
Acta Ophthalmologica 2015; 93: e627-e630 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Faria B
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Navarra R
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61768 Cerebral glucose metabolism in the striate cortex positively correlates with fractional anisotropy values of the optic radiation in patients with glaucoma
Ishii K
Clinical and Experimental Ophthalmology 2015; 43: 711-719 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Hu PH
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Teixeira SH
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Mastropasqua L
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Lottenberg CL
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Williams A
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Pei CG
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Moster MR
Eye 2015; 29: 1321-1328 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Amaro E
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Shao Y
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


61289 Advanced Morphological and Functional Magnetic Resonance Techniques in Glaucoma
Marchini G
BioMed research international 2015; 2015: 160454 (IGR: 17-1)


61486 Disturbed spontaneous brain activity pattern in patients with primary angle-closure glaucoma using amplitude of low-frequency fluctuation: a fMRI study
Dai XJ
Neuropsychiatric disease and treatment 2015; 11: 1877-1883 (IGR: 17-1)


61134 Evaluation of Glaucomatous Damage via Functional Magnetic Resonance Imaging, and Correlations Thereof with Anatomical and Psychophysical Ocular Findings
Paranhos A
PLoS ONE 2015; 10: e0126362 (IGR: 17-1)


61331 Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method
Katz LJ; Spaeth GL
Eye 2015; 29: 1321-1328 (IGR: 17-1)


60215 Open-angle glaucoma and paraoptic cyst: first description of a series of 11 patients
Bertrand A
American Journal of Neuroradiology 2015; 36: 779-782 (IGR: 16-4)


60143 Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study
Li T
Investigative Ophthalmology and Visual Science 2015; 56: 322-329 (IGR: 16-4)


60585 Ex-PRESS glaucoma filter: an MRI compatible metallic orbital foreign body imaged at 1.5 and 3T
Mabray MC
Clinical radiology 2015; 70: e28-e34 (IGR: 16-4)


60143 Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study
Liu Z
Investigative Ophthalmology and Visual Science 2015; 56: 322-329 (IGR: 16-4)


60215 Open-angle glaucoma and paraoptic cyst: first description of a series of 11 patients
Vignal C
American Journal of Neuroradiology 2015; 36: 779-782 (IGR: 16-4)


60585 Ex-PRESS glaucoma filter: an MRI compatible metallic orbital foreign body imaged at 1.5 and 3T
Uzelac A
Clinical radiology 2015; 70: e28-e34 (IGR: 16-4)


60143 Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study
Li J
Investigative Ophthalmology and Visual Science 2015; 56: 322-329 (IGR: 16-4)


60585 Ex-PRESS glaucoma filter: an MRI compatible metallic orbital foreign body imaged at 1.5 and 3T
Talbott JF
Clinical radiology 2015; 70: e28-e34 (IGR: 16-4)


60215 Open-angle glaucoma and paraoptic cyst: first description of a series of 11 patients
Lafitte F
American Journal of Neuroradiology 2015; 36: 779-782 (IGR: 16-4)


60585 Ex-PRESS glaucoma filter: an MRI compatible metallic orbital foreign body imaged at 1.5 and 3T
Lin SC
Clinical radiology 2015; 70: e28-e34 (IGR: 16-4)


60215 Open-angle glaucoma and paraoptic cyst: first description of a series of 11 patients
Koskas P
American Journal of Neuroradiology 2015; 36: 779-782 (IGR: 16-4)


60143 Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study
Tang Z
Investigative Ophthalmology and Visual Science 2015; 56: 322-329 (IGR: 16-4)


60215 Open-angle glaucoma and paraoptic cyst: first description of a series of 11 patients
Bergès O
American Journal of Neuroradiology 2015; 36: 779-782 (IGR: 16-4)


60585 Ex-PRESS glaucoma filter: an MRI compatible metallic orbital foreign body imaged at 1.5 and 3T
Gean AD
Clinical radiology 2015; 70: e28-e34 (IGR: 16-4)


60143 Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study
Xie X
Investigative Ophthalmology and Visual Science 2015; 56: 322-329 (IGR: 16-4)


60215 Open-angle glaucoma and paraoptic cyst: first description of a series of 11 patients
Héran F
American Journal of Neuroradiology 2015; 36: 779-782 (IGR: 16-4)


60143 Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study
Yang D; Wang N; Tian J; Xian J
Investigative Ophthalmology and Visual Science 2015; 56: 322-329 (IGR: 16-4)


58903 Magic angle-enhanced MRI of fibrous microstructures in sclera and cornea with and without intraocular pressure loading
Ho LC; Sigal IA; Jan NJ; Squires A; Tse Z; Wu EX; Kim SG; Schuman JS; Chan KC
Investigative Ophthalmology and Visual Science 2014; 55: 5662-5672 (IGR: 16-3)


59267 Cerebral Microinfarcts in Primary Open-Angle Glaucoma Correlated With DTI-Derived Integrity of Optic Radiation
Schoemann J; Engelhorn T; Waerntges S; Doerfler A; El-Rafei A; Michelson G
Investigative Ophthalmology and Visual Science 2014; 55: 7241-7247 (IGR: 16-3)


59284 A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography
Song W; Wei Q; Liu W; Liu T; Yi J; Sheibani N; Fawzi AA; Linsenmeier RA; Jiao S; Zhang HF
Scientific reports 2014; 4: 6525 (IGR: 16-3)


58777 Relationship between visual acuity and retinal structures measured by spectral domain optical coherence tomography in patients with open-angle glaucoma
Kim JH; Lee HS; Kim NR; Seong GJ; Kim CY
Investigative Ophthalmology and Visual Science 2014; 55: 4801-4811 (IGR: 16-3)


59079 Morphologic changes in the anterior and posterior subregions of V1 and V2 and the V5/MT+ in patients with primary open-angle glaucoma
Yu L; Yin X; Dai C; Liang M; Wei L; Li C; Zhang J; Xie B; Wang J
Brain Research 2014; 1588: 135-143 (IGR: 16-3)


58774 Glaucomatous and age-related changes in corneal pulsation shape. The ocular dicrotism
Danielewska ME; Krzyżanowska-Berkowska P; Iskander DR
PLoS ONE 2014; 9: e102814 (IGR: 16-3)


57078 In vivo assessment of aqueous humor dynamics upon chronic ocular hypertension and hypotensive drug treatment using gadolinium-enhanced MRI
Ho LC; Conner IP; Do CW; Kim SG; Wu EX; Wollstein G; Schuman JS; Chan KC
Investigative Ophthalmology and Visual Science 2014; 55: 3747-3757 (IGR: 16-2)


57093 Novel use of 3T MRI in assessment of optic nerve volume in glaucoma
Ramli NM; Sidek S; Rahman FA; Peyman M; Zahari M; Rahmat K; Ramli N
Graefe's Archive for Clinical and Experimental Ophthalmology 2014; 252: 995-1000 (IGR: 16-2)


57026 An investigation of lateral geniculate nucleus volume in patients with primary open-angle glaucoma using 7 tesla magnetic resonance imaging
Lee JY; Jeong HJ; Lee JH; Kim YJ; Kim EY; Kim YY; Ryu T; Cho ZH; Kim YB
Investigative Ophthalmology and Visual Science 2014; 55: 3468-3476 (IGR: 16-2)


57422 Registration of adaptive optics corrected retinal nerve fiber layer (RNFL) images
Ramaswamy G; Lombardo M; Devaney N
Biomedical optics express 2014; 5: 1941-1951 (IGR: 16-2)


57362 Glaucoma severity affects diffusion tensor imaging (DTI) parameters of the optic nerve and optic radiation
Sidek S; Ramli N; Rahmat K; Ramli NM; Abdulrahman F; Tan LK
European journal of radiology 2014; 83: 1437-1441 (IGR: 16-2)


56665 DTI Analysis in Patients with Primary Open-Angle Glaucoma: Impact of Registration on Voxel-Wise Statistics
Schmidt MA; Mennecke A; Michelson G; Doerfler A; Engelhorn T
PLoS ONE 2014; 9: e99344 (IGR: 16-1)


56237 Vision restoration training for glaucoma: a randomized clinical trial
Sabel BA; Gudlin J
JAMA ophthalmology 2014; 132: 381-389 (IGR: 16-1)


56219 Detecting glaucoma using automated pupillography
Tatham AJ; Meira-Freitas D; Weinreb RN; Zangwill LM; Medeiros FA
Ophthalmology 2014; 121: 1185-1193 (IGR: 16-1)


55681 Altered spontaneous brain activity in primary open angle glaucoma: a resting-state functional magnetic resonance imaging study
Song Y; Mu K; Wang J; Lin F; Chen Z; Yan X; Hao Y; Zhu W; Zhang H
PLoS ONE 2014; 9: e89493 (IGR: 15-4)


55270 Anterior Segment Applications of In Vivo Confocal Microscopy
Kymionis GD; Diakonis VF; Shehadeh MM; Pallikaris AI; Pallikaris IG
Seminars in Ophthalmology 2015; 30: 243-251 (IGR: 15-4)


55780 Alteration of fractional anisotropy and mean diffusivity in glaucoma: novel results of a meta-analysis of diffusion tensor imaging studies
Li K; Lu C; Huang Y; Yuan L; Zeng D; Wu K
PLoS ONE 2014; 9: e97445 (IGR: 15-4)


55735 Strategies for improving early detection of glaucoma: the combined structure-function index
Tatham AJ; Weinreb RN; Medeiros FA
Clinical Ophthalmology 2014; 8: 611-621 (IGR: 15-4)


55670 The application and research progress of functional magnetic resonance imaging in glaucoma
Yang HF; Liu TT; Sun XH
Chinese Journal of Ophthalmology 2013; 49: 1040-1044 (IGR: 15-4)


54826 Correlation of Magnetic Resonance Imaging optic nerve parameters to Optical Coherence Tomography and the visual field in glaucoma
Omodaka K; Murata T; Sato S; Takahashi M; Tatewaki Y; Nagasaka T; Doi H; Araie M; Takahashi S; Nakazawa T
Clinical and Experimental Ophthalmology 2014; 42: 360-368 (IGR: 15-3)


54694 Reduced cortical thickness in primary open-angle glaucoma and its relationship to the retinal nerve fiber layer thickness
Yu L; Xie B; Yin X; Liang M; Evans AC; Wang J; Dai C
PLoS ONE 2013; 8: e73208 (IGR: 15-3)


54421 Evidence for widespread structural brain changes in glaucoma: a preliminary voxel-based MRI study
Williams AL; Lackey J; Wizov SS; Chia TM; Gatla S; Moster ML; Sergott R; Spaeth GL; Lai S
Investigative Ophthalmology and Visual Science 2013; 54: 5880-5887 (IGR: 15-3)


54680 Proton magnetic resonance spectroscopy ((1)H-MRS) reveals geniculocalcarine and striate area degeneration in primary glaucoma
Zhang Y; Chen X; Wen G; Wu G; Zhang X
PLoS ONE 2013; 8: e73197 (IGR: 15-3)


54805 Correlation between peripapillary retinal nerve fiber layer thickness and fundus autofluorescence in primary open-angle glaucoma
Reznicek L; Seidensticker F; Mann T; Hü,bert I; Buerger A; Haritoglou C; Neubauer AS; Kampik A; Hirneiss C; Kernt M
Clinical Ophthalmology 2013; 7: 1883-1888 (IGR: 15-3)


54401 Reading performance in patients with glaucoma evaluated using the MNREAD charts
Ishii M; Seki M; Harigai R; Abe H; Fukuchi T
Japanese Journal of Ophthalmology 2013; 57: 471-474 (IGR: 15-3)


54764 Pupillographic evaluation of relative afferent pupillary defect in glaucoma patients
Ozeki N; Yuki K; Shiba D; Tsubota K
British Journal of Ophthalmology 2013; 97: 1538-1542 (IGR: 15-3)


54683 Development and validation of an associative model for the detection of glaucoma using pupillography
Chang DS; Arora KS; Boland MV; Supakontanasan W; Friedman DS
American Journal of Ophthalmology 2013; 156: 1285-1296 (IGR: 15-3)


53843 In vivo evaluation of lamina cribrosa deformation in glaucoma
Park SC
Journal of Glaucoma 2013; 22: S29-31 (IGR: 15-2)


53842 How to measure cerebrospinal fluid pressure invasively and noninvasively
Silverman CA; Linstrom CJ
Journal of Glaucoma 2013; 22: S26-8 (IGR: 15-2)


53889 Glaucoma classification based on visual pathway analysis using diffusion tensor imaging
El-Rafei A; Engelhorn T; Wärntges S; Dörfler A; Hornegger J; Michelson G
Magnetic Resonance Imaging 2013; 31: 1081-1091 (IGR: 15-2)


53840 Imaging visual cortical structure and function in vivo
Majewska AK
Journal of Glaucoma 2013; 22: S21-3 (IGR: 15-2)


54000 Accuracy of Pupil Assessment for the Detection of Glaucoma: A Systematic Review and Meta-analysis
Chang DS; Xu L; Boland MV; Friedman DS
Ophthalmology 2013; 120: 2217-2225 (IGR: 15-2)


53797 Magnetic resonance imaging of the retina: From mice to men
Duong TQ
Magnetic resonance in medicine 2014; 71: 1526-1530 (IGR: 15-2)


53846 Noninvasive brain stimulation in the study of the human visual system
Halko MA; Eldaief MC; Pascual-Leone A
Journal of Glaucoma 2013; 22: S39-41 (IGR: 15-2)


53782 Thermography: A New Option to Monitor Filtering Bleb Function?
Klamann MK; Maier AK; Gonnermann J; Klein JP; Ruokonen P; Pleyer U
Journal of Glaucoma 2015; 24: 272-277 (IGR: 15-2)


53654 Optic Nerve Diffusion Tensor Imaging Parameters and Their Correlation With Optic Disc Topography and Disease Severity in Adult Glaucoma Patients and Controls
Chang ST; Xu J; Trinkaus K; Pekmezci M; Arthur SN; Song SK; Barnett EM
Journal of Glaucoma 2014; 23: 513-520 (IGR: 15-2)


53852 Glaucoma and CNS. Comparison of fMRI results in high tension and normal tension glaucoma
Lestak J; Tintera J; Svata Z; Ettler L; Rozsival P
Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia 2014; 158: 144-153 (IGR: 15-2)


52091 Anterior segment examination in paediatric patients: the closed probe system
Simonini VM; Lodi L
Acta Clinica Croatica 2012; 51: 45-50 (IGR: 14-4)


51695 Balance control in glaucoma
Kotecha A; Richardson G; Chopra R; Fahy RT; Garway-Heath DF; Rubin GS
Investigative Ophthalmology and Visual Science 2012; 53: 7795-7801 (IGR: 14-4)


51670 Phosphene thresholds elicited by transcorneal electrical stimulation in healthy subjects and patients with retinal diseases
Naycheva L; Schatz A; Röck T; Willmann G; Messias A; Bartz-Schmidt KU; Zrenner E; Gekeler F
Investigative Ophthalmology and Visual Science 2012; 53: 7440-7448 (IGR: 14-4)


52038 Functional magnetic resonance imaging in glaucoma
Chen ZQ; Gao J; Zhang H
Chinese Journal of Ophthalmology 2012; 48: 1045-1048 (IGR: 14-4)


50971 Reduced white matter integrity in primary open-angle glaucoma: A DTI study using tract-based spatial statistics
Lu P; Shi L; Du H; Xie B; Li C; Li S; Liu T; Feng H; Wang J
Journal of neuroradiology. Journal de neuroradiologie 2013; 40: 89-93 (IGR: 14-3)


50888 Impact of repeated topical-loaded manganese-enhanced MRI on the mouse visual system
Sun SW; Thiel T; Liang HF
Investigative Ophthalmology and Visual Science 2012; 53: 4699-4709 (IGR: 14-3)


51172 Clinical applications of high-resolution ocular magnetic resonance imaging
Tanitame K; Sone T; Kiuchi Y; Awai K
Japanese journal of radiology 2012; 30: 695-705 (IGR: 14-3)


51183 In vivo analysis of vectors involved in pupil constriction in Chinese subjects with angle closure
Zheng C; Cheung CY; Aung T; Narayanaswamy A; Ong SH; Friedman DS; Allen JC; Baskaran M; Chew PT; Perera SA
Investigative Ophthalmology and Visual Science 2012; 53: 6756-6762 (IGR: 14-3)


51375 Oxidative stress in the closed-eyelid test: management of glaucoma
Pescosolido N; Malagola R; Scarsella G; Lenarduzzi F; Dapoto L; Nebbioso M
European review for medical and pharmacological sciences 2012; 16: 1453-1457 (IGR: 14-3)


50756 Visual symptoms and retinal straylight after laser peripheral iridotomy: the Zhongshan Angle-Closure Prevention Trial
Congdon N; Yan X; Friedman DS; Foster PJ; van den Berg TJ; Peng M; Gangwani R; He M
Ophthalmology 2012; 119: 1375-1382 (IGR: 14-3)


50442 Voxel-based Morphometry of the Visual-related Cortex in Primary Open Angle Glaucoma
Li C; Cai P; Shi L; Lin Y; Zhang J; Liu S; Xie B; Shi Y; Yang H; Li S; Du H; Wang J
Current Eye Research 2012; 37: 794-802 (IGR: 14-2)


50438 Evaluation of corpus geniculatum laterale and vitreous fluid by magnetic resonance spectroscopy in patients with glaucoma; a preliminary study
Doganay S; Cankaya C; Alkan A
Eye 2012; 26: 1044-1051 (IGR: 14-2)


50390 Changes of radial diffusivity and fractional anisotopy in the optic nerve and optic radiation of glaucoma patients
Engelhorn T; Michelson G; Waerntges S; Otto M; El-Rafei A; Struffert T; Doerfler A
TheScientificWorldJournal 2012; 2012: 849632 (IGR: 14-2)


50439 3-T Diffusion tensor imaging of the optic nerve in subjects with glaucoma: correlation with GDx-VCC, HRT-III and Stratus optical coherence tomography findings
Nucci C; Mancino R; Martucci A; Bolacchi F; Manenti G; Cedrone C; Culasso F; Floris R; Cerulli L; Garaci FG
British Journal of Ophthalmology 2012; 96: 976-980 (IGR: 14-2)


50355 Differences between Proximal versus Distal Intraorbital Optic Nerve Diffusion Tensor Magnetic Resonance Imaging Properties in Glaucoma Patients
Bolacchi F; Garaci FG; Martucci A; Meschini A; Fornari M; Marziali S; Mancino R; Squillaci E; Floris R; Cerulli L; Simonetti G; Nucci C
Investigative Ophthalmology and Visual Science 2012; 53: 4191-4196 (IGR: 14-2)


50562 Diffusion tensor MRI reveals visual pathway damage that correlates with clinical severity in glaucoma
Chen Z; Lin F; Wang J; Li Z; Dai H; Mu K; Ge J; Zhang H
Clinical and Experimental Ophthalmology 2013; 41: 43-49 (IGR: 14-2)


46592 Diagnostic value of macular morphometry in patients with primary open-angle glaucoma
Mamikonian VR; Kazarian EE; Galoian NS; Kozlova IV; Shmeleva-Demir OA; Mazurova IV; Basaeva EA
Vestnik Oftalmologii 2010; 126: 8-12 (IGR: 13-3)


45898 Practical significance of critical fusion frequency (CFF): Chronological resolution of the visual system in differential diagnosis
Baatz H; Raak P; De Ortueta D; Mirshahi A; Scharioth G
Ophthalmologe 2010; 107: 715-719 (IGR: 13-2)


45564 The post-illumination pupil response is reduced in glaucoma patients
Kankipati L; Girkin CA; Gamlin PD
Investigative Ophthalmology and Visual Science 2011; 52: 2287-2292 (IGR: 13-2)


46308 Comparison of stereo disc photographs and alternation flicker using a novel matching technology for detecting glaucoma progression
Radcliffe NM; Sehi M; Wallace IB; Greenfield DS; Krupin T; Ritch R
Ophthalmic surgery, lasers & imaging : the official journal of the International Society for Imaging in the Eye 2010; 41: 629-634 (IGR: 13-2)


46106 Evaluation of the relationship between quality of vision and visual function in Japanese glaucoma patients
Sawada H; Fukuchi T; Abe H
Clinical Ophthalmology 2011; 5: 259-267 (IGR: 13-2)


27849 The utility of relative afferent pupillary defect as a screening tool for glaucoma: Prospective examination of a large population-based study in a south Indian population
Hennessy AL; Katz J; Ramakrishnan R; Krishnadas R; Thulasiraj RD; Tielsch JM; Robin AL
British Journal of Ophthalmology 2011; (IGR: 13-1)


27804 Hemispherical focal macular photopic negative response and macular inner retinal thickness in open-angle glaucoma
Nakamura H; Hangai M; Mori S; Hirose F; Yoshimura N
American Journal of Ophthalmology 2011; 151: 494-506 (IGR: 13-1)


26517 Patterns of colour vision loss in patients with retinal and optic nerve disease
Rodriguez-Carmona M; O'Neill-Biba M; Barbur JL
Neuro-Ophthalmology 2010; 34: 139-140 (IGR: 12-3)


26354 Fundus autofluorescence and spectral-domain optical coherence tomography findings of leopard spots in nanophthalmic uveal effusion syndrome
Okuda T; Higashide T; Wakabayashi Y; Nishimura A; Sugiyama K
Graefe's Archive for Clinical and Experimental Ophthalmology 2010; 248: 1199-1202 (IGR: 12-3)


26075 Combining Functional and Structural Tests Improves the Diagnostic Accuracy of Relevance Vector Machine Classifiers
Racette L; Chiou CY; Hao J; Bowd C; Goldbaum MH; Zangwill LM; Lee TW; Weinreb RN; Sample PA
Journal of Glaucoma 2010; 19: 167-175 (IGR: 12-2)


25821 Optimal fast T2-weighted magnetic resonance microscopy imaging of the eye and its clinical application
Tanitame K; Sasaki K; Sone T; Otani K
Journal of Magnetic Resonance Imaging 2010; 31: 1210-1214 (IGR: 12-2)


25467 Clinical evaluation of a rapid, pupil-based assessment of retinal damage associated with glaucoma
Wride N; Habib M; Morris K; Campbell S; Fraser S
Clinical Ophthalmology 2009; 3: 123-128 (IGR: 12-1)


25346 High resolution three-dimensional reconstruction of the collagenous matrix of the human optic nerve head
Winkler M; Jester B; Nien-Shy C; Massei S; Minckler D S; Jester J V; Brown D J
Brain Research Bulletin 2010; 81: 339-348 (IGR: 12-1)


25261 Conventional MRI and magnetisation transfer imaging of the brain and optic pathway in primary open-angle glaucoma
Kitsos G; Zikou A K; Bagli E; Kosta P; Argyropoulou M I
British Journal of Radiology 2009; 82: 983: 896-900 (IGR: 12-1)


25154 Distribution and determinants of ocular biometric parameters in an Asian population: the Singapore Malay eye study
Lim LS; Saw SM; Jeganathan VS; Tay WT; Aung T; Tong L; Mitchell P; Wong TY
Investigative Ophthalmology and Visual Science 2010; 51: 103-109 (IGR: 12-1)


25473 Acquired color vision and visual field defects in patients with ocular hypertension and early glaucoma
Papaconstantinou D; Georgalas I; Kalantzis G; Karmiris E; Koutsandrea C; Diagourtas A; Ladas I; Georgopoulos G
Clinical Ophthalmology 2009; 3: 251-257 (IGR: 12-1)


25327 Is the flashlight test of any use in primary care for detecting eyes with shallow anterior chamber?
Trueba Castillo A; Negredo Bravo L J; Cardenas Valencia C; Gil De Gomez Barragan M J; Arribas Garcia R A
Atencion Primaria 2010; 42: 149-153 (IGR: 12-1)


25190 Fixation behavior in advanced stage glaucoma assessed by the MicroPerimeter MP-1
Kameda T; Tanabe T; Hangai M; Ojima T; Aikawa H; Yoshimura N
Japanese Journal of Ophthalmology 2009; 53: 580-587 (IGR: 12-1)


25031 Impairments of contrast discrimination and contrast adaptation in glaucoma
McKendrick AM; Sampson GP; Walland MJ; Badcock DR
Investigative Ophthalmology and Visual Science 2010; 51: 920-927 (IGR: 12-1)


24918 Functional imaging using the retinal function imager: direct imaging of blood velocity, achieving fluorescein angiography-like images without any contrast agent, qualitative oximetry, and functional metabolic signals
Izhaky D; Nelson DA; Burgansky-Eliash Z; Grinvald A
Japanese Journal of Ophthalmology 2009; 53: 345-351 (IGR: 11-4)


24685 In-vivo imaging of retinal nerve fiber layer vasculature: imaging histology comparison
Scoles D; Gray DC; Hunter JJ; Wolfe R; Gee BP; Geng Y; Masella BD; Libby RT; Russell S; Williams DR
BMC Ophthalmology 2009; 9: 9 (IGR: 11-4)


24701 High-resolution ocular imaging: combining advanced optics and microtechnology
Cordeiro MF; Nickells R; Drexler W; Borras T; Ritch R
Ophthalmic Surgery Lasers and Imaging 2009; 40: 480-488 (IGR: 11-4)


24703 Early diagnosis of ocular hypertension using a low-intensity laser irradiation test
Ivandic BT; Hoque NN; Ivandic T
Photomedicine and Laser Surgery 2009; 27: 571-575 (IGR: 11-4)


24162 Retrobulbar optic nerve diameter measured by high-speed magnetic resonance imaging as a biomarker for axonal loss in glaucomatous optic atrophy
Lagrèze WA; Gaggl M; Weigel M; Schulte-Mönting J; Bühler A; Bach M; Munk RD; Bley TA
Investigative Ophthalmology and Visual Science 2009; 50: 4223-4228 (IGR: 11-3)


23603 Dynamic contrast-enhanced MRI of ocular biotransport in normal and hypertensive eyes
Chan KC; Fu QL; So KF; Wu EX
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008; 2008:- 835-838 (IGR: 11-2)


22737 Spatial alignment over retinal scotomas
Crossland MD; Bex PJ
Investigative Ophthalmology and Visual Science 2009; 50: 1464-1469 (IGR: 11-1)


21694 Conjunctival modifications in ocular hypertension and primary open angle glaucoma: an in vivo confocal microscopy study
Ciancaglini M; Carpineto P; Agnifili L; Nubile M; Fasanella V; Mastropasqua L
Investigative Ophthalmology and Visual Science 2008; 49: 3042-3048 (IGR: 10-3)


21677 Filtering bleb functionality: a clinical, anterior segment optical coherence tomography and in vivo confocal microscopy study
Ciancaglini M; Carpineto P; Agnifili L; Nubile M; Lanzini M; Fasanella V; Mastropasqua L
Journal of Glaucoma 2008; 17: 308-317 (IGR: 10-3)


21153 Evaluation of the retina and optic nerve in a rat model of chronic glaucoma using in vivo manganese-enhanced magnetic resonance imaging
Chan KC; Fu Q-L; Hui ES; So K-F; Wu EX
Neuroimage 2008; 40: 1166-1174 (IGR: 10-2)


20979 Cerebrospinal fluid pressure is decreased in primary open-angle glaucoma
Berdahl JP; Allingham RR; Johnson DH
Ophthalmology 2008; 115: 763-768 (IGR: 10-2)


21234 Evaluation of the visual system in a rat model of chronic glaucoma using manganese-enhanced magnetic resonance imaging
Chan KC; Fu QL; So KF; Wu EX
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007; 2007: 67-70 (IGR: 10-2)


21110 Study of MR imaging of optic nerve in the case with complication of disc anomaly and normal tension glaucoma
Nakao Y
Neuro-Ophthalmology Japan 2007; 24: 397-404 (IGR: 10-2)


20882 Comparison of the pupillometry during videonystagmography in asymmetric pseudoexfoliation patients
Yülek F; Konukseven OO; Cakmak HB; Orhan N; Sim?ek S; Kutluhan A
Current Eye Research 2008; 33: 263-267 (IGR: 10-2)


15259 Assessment of axonal degeneration along the human visual pathway using diffusion trace analysis
Ueki S; Fujii Y; Matsuzawa H; Takagi M; Abe H; Kwee IL; Nakada T
American Journal of Ophthalmology 2006; 142: 591-596 (IGR: 8-4)


14792 Effects of retinal image degradation on preattentive visual search (PAVS) efficiency for flicker, movement and orientation stimuli
Davison P; Loughman J
Ophthalmic and Physiological Optics 2006; 26: 456-463 (IGR: 8-4)


15145 Pupillographic measurements with pattern stimulation: the pupil's response in normal subjects and first measurements in glaucoma patients
Link B; Junemann A; Rix R; Sembritzki O; Brenning A; Korth M; Horn FK
Investigative Ophthalmology and Visual Science 2006; 47: 4947-4955 (IGR: 8-4)


13981 In vivo confocal microscopy of filtering blebs after trabeculectomy
Messmer EM; Zapp DM; Mackert MJ; Thiel M; Kampik A
Archives of Ophthalmology 2006; 124: 1095-1103 (IGR: 8-3)


14095 Three-dimensional confocal laser scanning microscopy of the corneal nerve structure
Stachs O; Knappe S; Zhivov A; Kraak R; Stave J; Guthoff RF
Klinische Monatsblätter für Augenheilkunde 2006; 223: 583-588 (IGR: 8-3)


13850 Intravascular oxygen saturation in retinal vessels in normal subjects and open-angle glaucoma subjects
Michelson G; Scibor M
Acta Ophthalmologica Scandinavica 2006; 84: 289-295 (IGR: 8-2)


13638 An objective method for measuring relative afferent pupillary defect in glaucomatous optic neuropathy-stimulus optimization
Kalaboukhova L; Fridhammar V; Lindblom B
Neuro-Ophthalmology 2006; 30: 7-15 (IGR: 8-2)


13492 Measuring intraocular pressure-adjustments for corneal thickness and new technologies
Herndon LW
Current Opinions in Ophthalmology 2006; 17: 115-119 (IGR: 8-1)


13536 Magnetic resonance imaging of the brain in patients with pseudoexfoliation syndrome and glaucoma
Yuksel N; Anik Y; Altintas O; Onur I; Caglar Y; Demirci A
Ophthalmologica 2006; 220: 125-130 (IGR: 8-1)


12673 The re-engineering of a software system for glaucoma analysis
Fraser RG; Armarego J; Yogesan K
Computer Methods and Programs in Biomedicine 2005; 79: 97-109 (IGR: 7-3)


13069 Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study
Burgansky-Eliash Z; Wollstein G; Chu T; Ramsey JD; Glymour C; Noecker RJ; Ishikawa H; Schuman JS
Investigative Ophthalmology and Visual Science 2005; 46: 4147-4152 (IGR: 7-3)


13179 Development and comparison of automated classifiers for glaucoma diagnosis using Stratus optical coherence tomography
Huang ML; Chen HY
Investigative Ophthalmology and Visual Science 2005; 46: 4121-4129 (IGR: 7-3)


12994 Predictive value of colour Doppler imaging in a prospective study of visual field progression in primary open-angle glaucoma
Martinez A; Sanchez M
Acta Ophthalmologica Scandinavica 2005; 83: 716-722 (IGR: 7-3)


13171 Effects of input data on the performance of a neural network in distinguishing normal and glaucomatous visual fields
Bengtsson B; Bizios D; Heijl A
Investigative Ophthalmology and Visual Science 2005; 46: 3730-3376 (IGR: 7-3)


13164 Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects
Goldbaum MH; Sample PA; Zhang Z; Chan K; Hao J; Lee TW; Boden C; Bowd C; Bourne R; Zangwill L
Investigative Ophthalmology and Visual Science 2005; 46: 3676-3683 (IGR: 7-3)


13150 Episcleral venous pressure in untreated primary open-angle and normal-tension glaucoma
Selbach JM; Posielek K; Steuhl KP; Kremmer S
Ophthalmologica 2005; 219: 357-361 (IGR: 7-3)


12397 Random measurement error in visual acuity measurement in clinical settings
Leinonen J; Laakkonen E; Laatikainen L
Acta Ophthalmologica Scandinavica 2005; 83: 328-332 (IGR: 7-2)



6.9.5 Other (927 abstracts found)


84979 Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
Murtagh P
International Journal of Ophthalmology 2020; 13: 149-162 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Zhou W
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Jammal AA
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85106 Hierarchical Cluster Analysis of Peripapillary Retinal Nerve Fiber Layer Damage and Macular Ganglion Cell Loss in Open Angle Glaucoma
Lee K
Korean Journal of Ophthalmology 2020; 34: 56-66 (IGR: 21-1)


84090 Glaucoma Detection from Retinal Images Using Statistical and Textural Wavelet Features
Abdel-Hamid L
Journal of digital imaging 2020; 33: 151-158 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Li F
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85101 Diagnosis of Glaucoma on Retinal Fundus Images Using Deep Learning: Detection of Nerve Fiber Layer Defect and Optic Disc Analysis
Muramatsu C
Adv Exp Med Biol 2020; 1213: 121-132 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Zapata MA
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Li W
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Bambo MP
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


84506 Regional Patterns in Retinal Microvascular Network Geometry in Health and Disease
Popovic N
Scientific reports 2019; 9: 16340 (IGR: 21-1)


84814 Automated Quantification of Macular Ellipsoid Zone Intensity in Glaucoma Patients: the Method and its Comparison with Manual Quantification
Ha A
Scientific reports 2019; 9: 19771 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Chen Q
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


84506 Regional Patterns in Retinal Microvascular Network Geometry in Health and Disease
Vujosevic S
Scientific reports 2019; 9: 16340 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Fuentemilla E
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Royo-Fibla D
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Thompson AC
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Yan L
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Yi Y
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


84814 Automated Quantification of Macular Ellipsoid Zone Intensity in Glaucoma Patients: the Method and its Comparison with Manual Quantification
Sun S
Scientific reports 2019; 9: 19771 (IGR: 21-1)


84979 Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
Greene G
International Journal of Ophthalmology 2020; 13: 149-162 (IGR: 21-1)


85106 Hierarchical Cluster Analysis of Peripapillary Retinal Nerve Fiber Layer Damage and Macular Ganglion Cell Loss in Open Angle Glaucoma
Bae HW; Lee SY
Korean Journal of Ophthalmology 2020; 34: 56-66 (IGR: 21-1)


84814 Automated Quantification of Macular Ellipsoid Zone Intensity in Glaucoma Patients: the Method and its Comparison with Manual Quantification
Kim YK
Scientific reports 2019; 9: 19771 (IGR: 21-1)


84979 Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
O'Brien C
International Journal of Ophthalmology 2020; 13: 149-162 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Mariottoni EB
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Jiang Z
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Cameo B
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Gao Y
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


84506 Regional Patterns in Retinal Microvascular Network Geometry in Health and Disease
Popovic T
Scientific reports 2019; 9: 16340 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Mariottoni EB
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Font O
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Wang Y; Shi J
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85106 Hierarchical Cluster Analysis of Peripapillary Retinal Nerve Fiber Layer Damage and Macular Ganglion Cell Loss in Open Angle Glaucoma
Seong GJ
Korean Journal of Ophthalmology 2020; 34: 56-66 (IGR: 21-1)


84734 Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior
Dai J
Computational and mathematical methods in medicine 2019; 2019: 8973287 (IGR: 21-1)


84814 Automated Quantification of Macular Ellipsoid Zone Intensity in Glaucoma Patients: the Method and its Comparison with Manual Quantification
Jeoung JW
Scientific reports 2019; 9: 19771 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Berchuck SI
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Vela JI
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Fuertes I
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Berchuck SI
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Deng G
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Urata CN
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Chen H
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Ferrandez B
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Zong Y
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


84814 Automated Quantification of Macular Ellipsoid Zone Intensity in Glaucoma Patients: the Method and its Comparison with Manual Quantification
Kim HC
Scientific reports 2019; 9: 19771 (IGR: 21-1)


85106 Hierarchical Cluster Analysis of Peripapillary Retinal Nerve Fiber Layer Damage and Macular Ganglion Cell Loss in Open Angle Glaucoma
Kim CY
Korean Journal of Ophthalmology 2020; 34: 56-66 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Marcantonio I
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Estrela T
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


84814 Automated Quantification of Macular Ellipsoid Zone Intensity in Glaucoma Patients: the Method and its Comparison with Manual Quantification
Park KH
Scientific reports 2019; 9: 19771 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Estrela T
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Zhang X
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Güerri N
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Shi G
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Moya-Sánchez EU; Sánchez-Pérez A
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Wakil SM
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Jiang M
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Jiang C
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Polo V
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Wu Z
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


84652 Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning
Sun X
Journal of Glaucoma 2020; 29: 81-85 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Garcia-Gasulla D
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Larrosa JM
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Costa VP
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Cortés U
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Medeiros FA
American Journal of Ophthalmology 2020; 211: 123-131 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Pablo LE
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


85039 Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Zhou K
Graefe's Archive for Clinical and Experimental Ophthalmology 2020; 258: 851-867 (IGR: 21-1)


85052 Diagnostic capability of a linear discriminant function applied to a novel Spectralis OCT glaucoma-detection protocol
Garcia-Martin E
BMC Ophthalmology 2020; 20: 35 (IGR: 21-1)


85149 Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
Ayguadé E; Labarta J
Clinical Ophthalmology 2020; 14: 419-429 (IGR: 21-1)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Thakoor KA
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Pujari A
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82206 Ophthalmic Research Lecture 2018: DARC as a Potential Surrogate Marker
Yap TE
Ophthalmic Research 2020; 63: 1-7 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Raghavendra U
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Chiquet C
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Fu H
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82796 Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning
Zhao R
Medical Image Analysis 2020; 60: 101593 (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Mayro EL
Eye 2020; 34: 1-11 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Zhou W
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Shang Q
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Phasuk S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82744 Glaucoma detection using image processing techniques: A literature review
Sarhan A
Computerized Medical Imaging and Graphics 2019; 78: 101657 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Liu S
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Amil P
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Phene S
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Hemelings R
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82453 Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Mvoulana A
Computerized Medical Imaging and Graphics 2019; 77: 101643 (IGR: 20-4)


82776 Automated detection of glaucoma using optical coherence tomography angiogram images
Chan YM
Computers in Biology and Medicine 2019; 115: 103483 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Devalla SK
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Shang Q
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


81601 Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Wang S
IEEE Transactions on Medical Imaging 2019; 38: 2485-2495 (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Gaddipati DJ
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


82333 Automated anterior chamber angle pigmentation analyses using 360° gonioscopy
Matsuo M
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Al-Akhras M
Journal of infection and public health 2019; 0: (IGR: 20-4)


82109 Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Sandberg Melin C
Acta Ophthalmologica 2020; 98: 190-194 (IGR: 20-4)


82872 A New Texture-Based Segmentation Method for Optical Coherence Tomography Images
Monemian M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4750-4753 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Christopher M
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Xu YL
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Rogers TW
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82867 A novel method for retinal vessel segmentation and diameter measurement using high speed video
Rezaeian M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2781-2784 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Wang J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mao Z
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Snyder BM
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Bajwa MN
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Zhao R
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Barakat A
Journal of infection and public health 2019; 0: (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Desai A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Baskaran M
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zou B
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Zhao Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Liang Z
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Zhao Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Malik MI
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Tantibundhit C
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Reyes-Manzano CF
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82796 Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning
Li S
Medical Image Analysis 2020; 60: 101593 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Jaccard N
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Chen X
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82744 Glaucoma detection using image processing techniques: A literature review
Rokne J
Computerized Medical Imaging and Graphics 2019; 78: 101657 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Gudigar A
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Yan Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Nam SM
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Lu S
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Li X
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Elen B
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82867 A novel method for retinal vessel segmentation and diameter measurement using high speed video
Butlin M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2781-2784 (IGR: 20-4)


82453 Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Kachouri R
Computerized Medical Imaging and Graphics 2019; 77: 101643 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Dunn RC
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82776 Automated detection of glaucoma using optical coherence tomography angiogram images
Ng EYK
Computers in Biology and Medicine 2019; 115: 103483 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Selvan H
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Wang M
Eye 2020; 34: 1-11 (IGR: 20-4)


81601 Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Yu L
IEEE Transactions on Medical Imaging 2019; 38: 2485-2495 (IGR: 20-4)


82206 Ophthalmic Research Lecture 2018: DARC as a Potential Surrogate Marker
Shamsher E
Ophthalmic Research 2020; 63: 1-7 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Hong J
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Miki A
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fu H
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Yi Y
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


82109 Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Yu Z
Acta Ophthalmologica 2020; 98: 190-194 (IGR: 20-4)


82872 A New Texture-Based Segmentation Method for Optical Coherence Tomography Images
Rabbani H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4750-4753 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Gavard O
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82333 Automated anterior chamber angle pigmentation analyses using 360° gonioscopy
Pajaro S
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Bowd C
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Fu H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zhao R
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


81601 Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Yang X
IEEE Transactions on Medical Imaging 2019; 38: 2485-2495 (IGR: 20-4)


82776 Automated detection of glaucoma using optical coherence tomography angiogram images
Jahmunah V
Computers in Biology and Medicine 2019; 115: 103483 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Pham TH
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Tsamis E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Chen Z
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Xu Y
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82333 Automated anterior chamber angle pigmentation analyses using 360° gonioscopy
De Giusti A
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Belghith A
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Li HX
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Carbonaro F
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82867 A novel method for retinal vessel segmentation and diameter measurement using high speed video
Golzan SM
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2781-2784 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Barbosa Breda J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mei S
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Alawairdhi M
Journal of infection and public health 2019; 0: (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Bhandary SV
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82109 Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Söderberg PG
Acta Ophthalmologica 2020; 98: 190-194 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Xiyao L
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Tsamis E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Asif MI
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Elze T
Eye 2020; 34: 1-11 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Arnould L
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Lu X
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Siddiqui SA
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Hammel N
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82206 Ophthalmic Research Lecture 2018: DARC as a Potential Surrogate Marker
Guo L
Ophthalmic Research 2020; 63: 1-7 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Barbosa-Breda J
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Tsamis E
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Bao J
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


82744 Glaucoma detection using image processing techniques: A literature review
Alhajj R
Computerized Medical Imaging and Graphics 2019; 78: 101657 (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Sivaswamy J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Khunsongkiet P
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82453 Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Akil M
Computerized Medical Imaging and Graphics 2019; 77: 101643 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Poopresert P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Guzmán-Vargas L
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Xu Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Boote C
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Li RR
Sensors (Basel, Switzerland) 2019; 19: (IGR: 20-4)


82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Pasquale LR
Eye 2020; 34: 1-11 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Yaemsuk A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Zailiang C
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Sendiña-Nadal I
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Shang Q
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


81601 Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Fu CW
IEEE Transactions on Medical Imaging 2019; 38: 2485-2495 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Rao TN
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Sajda P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Gupta B
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82206 Ophthalmic Research Lecture 2018: DARC as a Potential Surrogate Marker
Cordeiro MF
Ophthalmic Research 2020; 63: 1-7 (IGR: 20-4)


82875 Glaucoma Assessment from OCT images using Capsule Network
Vermeer KA
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Mautuit T
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Jia X
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Lemmens S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Dong Y
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Wang W
Medical and Biological Engineering and Computing 2019; 57: 2055-2067 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Lin S
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82776 Automated detection of glaucoma using optical coherence tomography angiogram images
Wei Koh JE
Computers in Biology and Medicine 2019; 115: 103483 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Lemij HG
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Chen Y
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Van Keer K
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Dengel A
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Zhao W
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Ausayakhun S
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


82333 Automated anterior chamber angle pigmentation analyses using 360° gonioscopy
Tanito M
British Journal of Ophthalmology 2019; 0: (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Goldbaum MH
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82867 A novel method for retinal vessel segmentation and diameter measurement using high speed video
Graham SL
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2781-2784 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Liu Y
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Shang Q
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82733 Using soft computing techniques to diagnose Glaucoma disease
Habib M
Journal of infection and public health 2019; 0: (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Meire M
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82867 A novel method for retinal vessel segmentation and diameter measurement using high speed video
Avolio AP
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2781-2784 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Weinreb RN
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Lin Z
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Min H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
He Z
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Leeungurasatien T
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Strouthidis NG
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


81895 Smartphone-aided Quantification of Iridocorneal Angle
Dada T
Journal of Glaucoma 2019; 28: e153-e155 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Maruyama K
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Bathula DR
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Suvannachart P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


81601 Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Heng PA
IEEE Transactions on Medical Imaging 2019; 38: 2485-2495 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Guo F
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Macgillivray TJ
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82088 Network-based features for retinal fundus vessel structure analysis
Masoller C
PLoS ONE 2019; 14: e0220132 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Li F
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Ciaccio EJ
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Shafait F
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Krause J
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82776 Automated detection of glaucoma using optical coherence tomography angiogram images
Lih OS
Computers in Biology and Medicine 2019; 115: 103483 (IGR: 20-4)


82866 Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Hood DC
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2036-2040 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Vermeer KA
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Li F
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


81601 Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Heng PA
IEEE Transactions on Medical Imaging 2019; 38: 2485-2495 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Wong DWK
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Fazio MA
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Leiter MR
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Diaz-Pinto A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Zhang X
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Neumeier W
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Kitade N
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Reus NJ
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Li S
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82776 Automated detection of glaucoma using optical coherence tomography angiogram images
Wei Leon LY
Computers in Biology and Medicine 2019; 115: 103483 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Pourjavan S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Tan M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Zhang X
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Itthipanichpong R
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Kawasaki R
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Acharya UR
Journal of Medical Systems 2019; 43: 299 (IGR: 20-4)


82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Zhou M
IEEE journal of biomedical and health informatics 2019; 0: (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Diaz-Pinto A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Bron AM
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Zhou Y
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Liu J
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Thiery AH
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Vandewalle E
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Trikha S
Eye 2019; 33: 1791-1797 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Usui S
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Semecas R
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Sevastopolsky A
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Ahmed S
BMC Medical Informatics and Decision Making 2019; 19: 136 (IGR: 20-4)


82865 Conditional Adversarial Transfer for Glaucoma Diagnosis
Liu J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2032-2035 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fang R
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Tun TA
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Liu J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852 (IGR: 20-4)


82871 Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Liu J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4745-4749 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Schaekermann M
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Girkin CA
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82682 Glaucoma management in the era of artificial intelligence
Girard MJA
British Journal of Ophthalmology 2020; 104: 301-311 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Chansangpetch S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82776 Automated detection of glaucoma using optical coherence tomography angiogram images
Acharya UR
Computers in Biology and Medicine 2019; 115: 103483 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Liu Y
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Heng PA
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Matsushita K
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Joye AS
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Liebmann JM
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Van de Veire S
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Manassakorn A
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Zhang H
Computers in Biology and Medicine 2019; 115: 103485 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Heng PA
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Trucco E
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Mahesh M
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Sayres R
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Kim J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Wu DJ
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Tantisevi V
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Blaschko MB
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Nishida K
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Florent A
Acta Ophthalmologica 2020; 98: e88-e93 (IGR: 20-4)


82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Zangwill LM
Ophthalmology 2020; 127: 346-356 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Berlinberg EJ
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Perera SA
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Bora A
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Liu Y
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Rojanapongpun P
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907 (IGR: 20-4)


81618 A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images
Aung T
American Journal of Ophthalmology 2019; 203: 37-45 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Lee J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82834 Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Chan K
Biomedical optics express 2019; 10: 5832-5851 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
De Boever P
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Semturs C
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Ramirez DA
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Stalmans I
Acta Ophthalmologica 2020; 98: e94-e100 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Li X
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Misra A
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Moe CA
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Huang AE
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Liu P
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Stamper RL
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Spitze A
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Lu S
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82193 Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Keenan JD
PLoS ONE 2019; 14: e0220362 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Medeiros FA
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Murugesan B
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Naranjo V
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Maa AY
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Naranjo V
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Gandhi M
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Phaye SSR
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Shankaranarayana SM
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Corrado GS
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Sikka A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Peng L
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Son J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82499 Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Webster DR
Ophthalmology 2019; 126: 1627-1639 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
van den Hengel A
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Wang S
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Wu J
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Wu Z
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Xu G
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Xu Y; Yin
Medical Image Analysis 2020; 59: 101570 (IGR: 20-4)


80518 Evaluation of deep convolutional neural networks for glaucoma detection
Phan S
Japanese Journal of Ophthalmology 2019; 63: 276-283 (IGR: 20-3)


81341 Clinical validation of , an automated optic nerve head analysis software
Singh D
Indian Journal of Ophthalmology 2019; 67: 1089-1094 (IGR: 20-3)


81146 Machine Learning in the Detection of the Glaucomatous Disc and Visual Field
Smits DJ
Seminars in Ophthalmology 2019; 34: 232-242 (IGR: 20-3)


80853 Clinical Efficacy of Custom-built Software for the Early Detection of Glaucoma: A Comparison of Axial-length and Major Retinal Artery Location Data
Jang H
Korean Journal of Ophthalmology 2019; 33: 103-112 (IGR: 20-3)


80477 Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Shankaranarayana SM
IEEE journal of biomedical and health informatics 2019; 23: 1417-1426 (IGR: 20-3)


81053 Primary Acute Angle-Closure Glaucoma: Three-Dimensional Reconstruction Imaging of Optic Nerve Heard Structure in Based on Optical Coherence Tomography (OCT)
Wang Y
Medical Science Monitor 2019; 25: 3647-3654 (IGR: 20-3)


80518 Evaluation of deep convolutional neural networks for glaucoma detection
Satoh S
Japanese Journal of Ophthalmology 2019; 63: 276-283 (IGR: 20-3)


80477 Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Ram K
IEEE journal of biomedical and health informatics 2019; 23: 1417-1426 (IGR: 20-3)


81341 Clinical validation of , an automated optic nerve head analysis software
Gunasekaran S
Indian Journal of Ophthalmology 2019; 67: 1089-1094 (IGR: 20-3)


80853 Clinical Efficacy of Custom-built Software for the Early Detection of Glaucoma: A Comparison of Axial-length and Major Retinal Artery Location Data
Lee SM
Korean Journal of Ophthalmology 2019; 33: 103-112 (IGR: 20-3)


81053 Primary Acute Angle-Closure Glaucoma: Three-Dimensional Reconstruction Imaging of Optic Nerve Heard Structure in Based on Optical Coherence Tomography (OCT)
Chen D
Medical Science Monitor 2019; 25: 3647-3654 (IGR: 20-3)


81146 Machine Learning in the Detection of the Glaucomatous Disc and Visual Field
Elze T
Seminars in Ophthalmology 2019; 34: 232-242 (IGR: 20-3)


80853 Clinical Efficacy of Custom-built Software for the Early Detection of Glaucoma: A Comparison of Axial-length and Major Retinal Artery Location Data
Ahn J
Korean Journal of Ophthalmology 2019; 33: 103-112 (IGR: 20-3)


81146 Machine Learning in the Detection of the Glaucomatous Disc and Visual Field
Wang H
Seminars in Ophthalmology 2019; 34: 232-242 (IGR: 20-3)


80477 Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Mitra K
IEEE journal of biomedical and health informatics 2019; 23: 1417-1426 (IGR: 20-3)


80518 Evaluation of deep convolutional neural networks for glaucoma detection
Yoda Y
Japanese Journal of Ophthalmology 2019; 63: 276-283 (IGR: 20-3)


81053 Primary Acute Angle-Closure Glaucoma: Three-Dimensional Reconstruction Imaging of Optic Nerve Heard Structure in Based on Optical Coherence Tomography (OCT)
Yang W
Medical Science Monitor 2019; 25: 3647-3654 (IGR: 20-3)


81341 Clinical validation of , an automated optic nerve head analysis software
Hada M
Indian Journal of Ophthalmology 2019; 67: 1089-1094 (IGR: 20-3)


81053 Primary Acute Angle-Closure Glaucoma: Three-Dimensional Reconstruction Imaging of Optic Nerve Heard Structure in Based on Optical Coherence Tomography (OCT)
Cui Q
Medical Science Monitor 2019; 25: 3647-3654 (IGR: 20-3)


81341 Clinical validation of , an automated optic nerve head analysis software
Gogia V
Indian Journal of Ophthalmology 2019; 67: 1089-1094 (IGR: 20-3)


80853 Clinical Efficacy of Custom-built Software for the Early Detection of Glaucoma: A Comparison of Axial-length and Major Retinal Artery Location Data
Rho S
Korean Journal of Ophthalmology 2019; 33: 103-112 (IGR: 20-3)


81146 Machine Learning in the Detection of the Glaucomatous Disc and Visual Field
Pasquale LR
Seminars in Ophthalmology 2019; 34: 232-242 (IGR: 20-3)


80518 Evaluation of deep convolutional neural networks for glaucoma detection
Kashiwagi K
Japanese Journal of Ophthalmology 2019; 63: 276-283 (IGR: 20-3)


80477 Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Sivaprakasam M
IEEE journal of biomedical and health informatics 2019; 23: 1417-1426 (IGR: 20-3)


80518 Evaluation of deep convolutional neural networks for glaucoma detection
Oshika T
Japanese Journal of Ophthalmology 2019; 63: 276-283 (IGR: 20-3)


81053 Primary Acute Angle-Closure Glaucoma: Three-Dimensional Reconstruction Imaging of Optic Nerve Heard Structure in Based on Optical Coherence Tomography (OCT)
Hou W; Han W
Medical Science Monitor 2019; 25: 3647-3654 (IGR: 20-3)


80518 Evaluation of deep convolutional neural networks for glaucoma detection

Japanese Journal of Ophthalmology 2019; 63: 276-283 (IGR: 20-3)


81053 Primary Acute Angle-Closure Glaucoma: Three-Dimensional Reconstruction Imaging of Optic Nerve Heard Structure in Based on Optical Coherence Tomography (OCT)
Huang X; Lu W; Yuan Z; Yuan J; Teng Y; Qiu J
Medical Science Monitor 2019; 25: 3647-3654 (IGR: 20-3)


79681 Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma
Keel S
JAMA ophthalmology 2019; 137: 288-292 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
MacCormick IJC
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


79704 Artificial intelligence in glaucoma
Zheng C
Current Opinions in Ophthalmology 2019; 30: 97-103 (IGR: 20-2)


79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Thompson AC
American Journal of Ophthalmology 2019; 201: 9-18 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Ahn JM
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)


79439 A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening
Ghassabi Z
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 5942-5945 (IGR: 20-2)


79441 Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection
Jiang Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 862-865 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Shigueoka LS
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Christopher M
Scientific reports 2018; 8: 16685 (IGR: 20-2)


79598 From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
Medeiros FA
Ophthalmology 2019; 126: 513-521 (IGR: 20-2)


79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Maheshwari S
Computers in Biology and Medicine 2019; 105: 72-80 (IGR: 20-2)


79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Jammal AA
American Journal of Ophthalmology 2019; 201: 9-18 (IGR: 20-2)


79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Belghith A
Scientific reports 2018; 8: 16685 (IGR: 20-2)


79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Kanhangad V
Computers in Biology and Medicine 2019; 105: 72-80 (IGR: 20-2)


79598 From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
Jammal AA
Ophthalmology 2019; 126: 513-521 (IGR: 20-2)


79439 A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening
Shanbehzadeh J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 5942-5945 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Kim S
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)


79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Vasconcellos JPC
PLoS ONE 2018; 13: e0207784 (IGR: 20-2)


79681 Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma
Wu J
JAMA ophthalmology 2019; 137: 288-292 (IGR: 20-2)


79704 Artificial intelligence in glaucoma
Johnson TV
Current Opinions in Ophthalmology 2019; 30: 97-103 (IGR: 20-2)


79441 Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection
Xia H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 862-865 (IGR: 20-2)


80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Williams BM
PLoS ONE 2019; 14: e0209409 (IGR: 20-2)


79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Ahn KS
PLoS ONE 2018; 13: e0207982 (IGR: 20-2)