activity
20212026
most citedMAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy

18 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation

Philippe Baumstimler, Jean-Mathieu Gagnon, Sébastien Gagné +3

Anterior eye segment (AES) segmentation is a key component of both ocular biometrics and emerging clinical image analysis applications. However, heterogeneous acquisition condition…

cs.CV2024

Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks

Clément Playout, Renaud Duval, Marie Carole Boucher +1

The diagnosis of diabetic retinopathy, which relies on fundus images, faces challenges in achieving transparency and interpretability when using a global classification approach. H…

cs.CV2024★ 2 cited

Cross-Dataset Generalization For Retinal Lesions Segmentation

Clément Playout, Farida Cheriet

Identifying lesions in fundus images is an important milestone toward an automated and interpretable diagnosis of retinal diseases. To support research in this direction, multiple…

eess.IV2024★ 18 cited

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy

Gabriel Lepetit-Aimon, Clément Playout, Marie Carole Boucher +3

Reliable automatic diagnosis of Diabetic Retinopathy (DR) and Macular Edema (ME) is an invaluable asset in improving the rate of monitored patients among at-risk populations and in…

cs.CV2021★ 17 cited

Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems

Clément Playout, Ola Ahmad, Freddy Lecue +1

Advanced Driver-Assistance Systems rely heavily on perception tasks such as semantic segmentation where images are captured from large field of view (FoV) cameras. State-of-the-art…