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6.8.2 Posterior segment (116)

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81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under Anesthesia
Pujari A
Journal of Glaucoma 2019; 28: e143-e144
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
82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Chiquet C
Acta Ophthalmologica 2020; 98: e88-e93
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
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
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
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570
82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Rong X
BMC Ophthalmology 2019; 19: 203
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Liu H
JAMA ophthalmology 2019; 0:
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:
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
82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluation
Malerbi FK
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913
82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Hashemi H
British Journal of Ophthalmology 2019; 0:
82110 Retinal vessel phenotype in patients with primary open-angle glaucoma
Gavard O
Acta Ophthalmologica 2020; 98: e88-e93
82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucoma
Cai Y
BMC Ophthalmology 2019; 19: 203
82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluation
Carneiro ABM
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fu H
Medical Image Analysis 2020; 59: 101570
82493 Heritability of pachymetric indices using Pentacam Scheimflug imaging
Yekta A
British Journal of Ophthalmology 2019; 0:
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
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
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Li L
JAMA ophthalmology 2019; 0:
81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under Anesthesia
Selvan H
Journal of Glaucoma 2019; 28: e143-e144
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
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
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:

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