activity
20182024
most citedDeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

368 citations · 404 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024★ 13 cited

AI Workflow, External Validation, and Development in Eye Disease Diagnosis

Qingyu Chen, Tiarnan D L Keenan, Elvira Agron +35

Timely disease diagnosis is challenging due to increasing disease burdens and limited clinician availability. AI shows promise in diagnosis accuracy but faces real-world applicatio…

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…

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…

cs.CV2018★ 368 cited

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

Yifan Peng, Shazia Dharssi, Qingyu Chen +5

In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AM…