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WGC-2021

6.9.2.2 Posterior (393)

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94541 Assessing the Clinical Utility of Expanded Macular OCTs Using Machine Learning
Lin AC
Translational vision science & technology 2021; 10: 32
94336 Macular Optical Coherence Tomography Imaging in Glaucoma
Kamalipour A
Journal of ophthalmic & vision research 2021; 16: 478-489
94584 Reproducibility of SD-OCT inner macular layer thickness measurements in children with primary congenital glaucoma
Morales-Fernández L
Journal Français d'Ophtalmologie 2021; 44: 1229-1236
94954 Glaucoma detection in Latino population through OCT's RNFL thickness map using transfer learning
Olivas LG
International Ophthalmology 2021; 0:
94953 Neural Network-Based Retinal Nerve Fiber Layer Profile Compensation for Glaucoma Diagnosis in Myopia: Model Development and Validation
Li L
JMIR medical informatics 2021; 9: e22664
94231 Non-invasive electrophysiology in glaucoma, structure and function-a review
Al-Nosairy KO
Eye 2021; 35: 2374-2385
94622 Genetic variation affects morphological retinal phenotypes extracted from UK Biobank optical coherence tomography images
Currant H
PLoS Genetics 2021; 17: e1009497
94883 Fully Automated Colorimetric Analysis of the Optic Nerve Aided by Deep Learning and Its Association with Perimetry and OCT for the Study of Glaucoma
Gonzalez-Hernandez M
Journal of clinical medicine 2021; 10:
94853 Steps to Measurement Floor of an Optical Microangiography Device in Glaucoma
Phillips MJ
American Journal of Ophthalmology 2021; 231: 58-69
94523 Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest
Bowd C
Translational vision science & technology 2021; 10: 19
94534 Association of ocular blood flow and contrast sensitivity in normal tension glaucoma
Kuerten D
Graefe's Archive for Clinical and Experimental Ophthalmology 2021; 259: 2251-2257
94785 Macular Thickness and Microvasculature Loss in Glaucoma Suspect Eyes
Hou H
Ophthalmology. Glaucoma 2021; 0:
94802 Combined structure-function analysis in glaucoma screening
Karvonen E
British Journal of Ophthalmology 2021; 0:
94353 Paired Optic Nerve Microvasculature and Nailfold Capillary Measurements in Primary Open-Angle Glaucoma
Shoji MK
Translational vision science & technology 2021; 10: 13
94819 Agreement Between Trend-Based and Qualitative Analysis of the Retinal Nerve Fiber Layer Thickness for Glaucoma Progression on Spectral-Domain Optical Coherence Tomography
Thompson AC
Ophthalmology and therapy 2021; 10: 629-642
94509 Prediction of 10-2 Visual Field Loss Using Optical Coherence Tomography and 24-2 Visual Field Data
Sullivan-Mee M
Journal of Glaucoma 2021; 30: e292-e299
94871 Effect of algorithms and covariates in glaucoma diagnosis with optical coherence tomography angiography
You QS
British Journal of Ophthalmology 2021; 0:
94791 Interpreting Deep Learning Studies in Glaucoma: Unresolved Challenges
Lee EB
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2021; 10: 261-267
94545 An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography
Rehman AU
Mathematical biosciences and engineering : MBE 2021; 18: 5321-5346
94352 Cystic maculopathy of the inner nuclear layer in glaucoma patients
El Maftouhi A
Journal Français d'Ophtalmologie 2021; 44: 786-791
94847 Corneal hysteresis as a risk factor for optic nerve head surface depression and retinal nerve fiber layer thinning in glaucoma patients
Xu G
Scientific reports 2021; 11: 11677
94682 Optical coherence tomography in the setting of optic nerve head cupping reversal in secondary childhood glaucoma
Elhusseiny AM
Journal of AAPOS 2021; 25: 236-239
94827 Glaucoma Diagnostic Testing: The Influence of Optic Disc Size
Scheuble P
Klinische Monatsblätter für Augenheilkunde 2021; 0:
94816 The role of pattern electroretinograms and optical coherence tomography angiography in the diagnosis of normal-tension glaucoma
Lee SY
Scientific reports 2021; 11: 12257
94231 Non-invasive electrophysiology in glaucoma, structure and function-a review
Al-Nosairy KO
Eye 2021; 35: 2374-2385

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