activity
20182022
most citedDeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

368 citations · 438 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2022★ 44 cited

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos +12

Purpose - To develop and validate a deep learning (DL) framework for the detection and quantification of drusen and reticular pseudodrusen (RPD) on optical coherence tomography sca…

cs.CV2020

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration

Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot +14

Objective Reticular pseudodrusen (RPD), a key feature of age-related macular degeneration (AMD), are poorly detected by human experts on standard color fundus photography (CFP) and…

eess.IV2020★ 8 cited

Predicting risk of late age-related macular degeneration using deep learning

Yifan Peng, Tiarnan D. Keenan, Qingyu Chen +5

By 2040, age-related macular degeneration (AMD) will affect approximately 288 million people worldwide. Identifying individuals at high risk of progression to late AMD, the sight-t…

stat.AP2020★ 3 cited

A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies

Yue Wei, Jason C. Hsu, Wei Chen +2

With the uptake of targeted therapies, instead of the "one-fits-all" approach, modern randomized clinical trials (RCTs) often aim to develop treatments that target a subgroup of pa…

eess.IV2019

A deep learning approach for automated detection of geographic atrophy from color fundus photographs

Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng +5

Purpose: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs; secondary aim to explore potential utility in detecting c…

cs.LG2018★ 15 cited

A multi-task deep learning model for the classification of Age-related Macular Degeneration

Qingyu Chen, Yifan Peng, Tiarnan Keenan +5

Age-related Macular Degeneration (AMD) is a leading cause of blindness. Although the Age-Related Eye Disease Study group previously developed a 9-step AMD severity scale for manual…