Cecilia S. Lee

The study examines age-related changes in white matter properties of optic radiations carrying foveal, macular, and peripheral visual field information using diffusion MRI data from the UK Biobank.

This study uses diffusion MRI and a CNN to show glaucoma has a unique non-linear effect on optic radiation tissue properties, unlike linear effects on other brain connections.

This paper uses deep learning to generate perfusion maps from structural OCT images without expert labels, outperforming clinicians in fidelity.

This study trains a deep learning model to predict future 24-2 Humphrey Visual Fields up to 5.5 years ahead using historical data from glaucomatous patients.

The paper develops a CNN to segment macular edema in OCT images, achieving performance comparable to clinicians.

This study uses deep learning to classify OCT images as normal or AMD, achieving high accuracy across different levels of analysis.