activity
20172025
most citedDeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

368 citations · 570 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

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…

cs.CV2020★ 13 cited

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays

Yan Han, Chongyan Chen, Liyan Tang +7

Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been…