Gustavo De Moraes

Deriving visual field loss based upon OCT of inner retinal thicknesses of the macula

D. Hood, A. Raza, Xian Zhang, 2011, Biomedical optics express.

Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

T. W. Rogers, Aakriti Garg, R. Kapoor, 2019, Journal of glaucoma.

The Use of Retinal Microvascular Function and Telomere Length in Age and Blood Pressure Prediction in Individuals with Low Cardiovascular Risk

A. Ekárt, D. Gherghel, I. Dias, 2022, Cells.

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020, Translational vision science & technology.

Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics based on Thickness Maps from Macula Optical Coherence Tomography.

M. Goldbaum, L. Zangwill, R. Weinreb, 2021, Ophthalmology.

Detection and measurement of clinically meaningful visual field progression in clinical trials for glaucoma

Jeffrey M. Liebmann, Leonard A. Levin, L. Levin, 2017, Progress in Retinal and Eye Research.

Barriers to IOP-independent treatments in glaucoma clinical trials

D. Gherghel, Gustavo De Moraes, 2022, Eye.

Deep Defects Seen on Visual Fields Spatially Correspond Well to Loss of Retinal Nerve Fiber Layer Seen on Circumpapillary OCT Scans

D. Hood, R. Ritch, Zhichao Wu, 2018, Investigative ophthalmology & visual science.