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WGC-2021

6.30 Other (293)

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82088 Network-based features for retinal fundus vessel structure analysis
Amil P
PLoS ONE 2019; 14: e0220132
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
82733 Using soft computing techniques to diagnose Glaucoma disease
Al-Akhras M
Journal of infection and public health 2019; 0:
82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Liu S
Computers in Biology and Medicine 2019; 115: 103485
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
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
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
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics 2019; 0:
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
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
82682 Glaucoma management in the era of artificial intelligence
Devalla SK
British Journal of Ophthalmology 2020; 104: 301-311
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
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
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
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
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:
82452 Smartphone use in ophthalmology: What is their place in clinical practice?
Hogarty DT
Survey of Ophthalmology 2020; 65: 250-262
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
81895 Smartphone-aided Quantification of Iridocorneal Angle
Pujari A
Journal of Glaucoma 2019; 28: e153-e155
82796 Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning
Zhao R
Medical Image Analysis 2020; 60: 101593
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
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
81872 Smartphone-based Gonio-Imaging: A Novel Addition to Glaucoma Screening Tools
Kumar N
Journal of Glaucoma 2019; 28: e149-e150
82707 Potential Impact of DARC Technology in Neuroprotective Therapies
Pahlitzsch M
Klinische Monatsblätter für Augenheilkunde 2020; 237: 140-142
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Liu H
JAMA ophthalmology 2019; 0:

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