research
∙
04/05/2022
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
Purpose - To develop and validate a deep learning (DL) framework for the...
share
research
∙
11/09/2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degenera
Objective Reticular pseudodrusen (RPD), a key feature of age-related mac...
research
∙
07/19/2020
Predicting risk of late age-related macular degeneration using deep learning
By 2040, age-related macular degeneration (AMD) will affect approximatel...
research
∙
03/23/2020
A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies
With the uptake of targeted therapies, instead of the "one-fits-all" app...
research
∙
06/07/2019
A deep learning approach for automated detection of geographic atrophy from color fundus photographs
Purpose: To assess the utility of deep learning in the detection of geog...
research
∙
12/02/2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration
Age-related Macular Degeneration (AMD) is a leading cause of blindness. ...
research
∙
11/19/2018
