Neovascular age-related macular degeneration (AMD) has undergone substantial break-
throughs in diagnostic as well as therapeutic respect, with optical coherence tomography …

Optical coherence tomography (OCT) has become an established diagnostic technology in
the clinical management of age-related macular degeneration (AMD). OCT is being used for …

Purpose To evaluate the potential of machine learning to predict best-corrected visual acuity
(BCVA) outcomes from structural and functional assessments during the initiation phase in …

Purpose: The purpose of this study was to predict low and high anti-VEGF injection
requirements during a pro re nata (PRN) treatment, based on sets of optical coherence …

Purpose To compare the efficacy of intravitreal aflibercept and ranibizumab on the exudative
activity of neovascular age-related macular degeneration (nAMD) using optical coherence …

Purpose: To develop a data-driven interpretable predictive model of incoming drusen
regression as a sign of disease activity and identify optical coherence tomography (OCT) …

In ophthalmology, retinal biological markers, or biomarkers, play a critical role in the
management of chronic eye conditions and in the development of new therapeutics. While …

Prediction of treatment responses from available data is key to optimizing personalized
treatment. Retinal diseases are treated over long periods and patients' response patterns …

Purpose: We develop a longitudinal statistical model describing best-corrected visual acuity
(BCVA) changes in anti-VEGF therapy in relation to imaging data, and predict the future …

Development of image analysis and machine learning methods for segmentation of clinically
significant pathology in retinal spectral‐domain optical coherence tomography (SD‐OCT) …