Procedure to detect anatomical structures in optical fundus images. - Langis Gagnon; Marc Lalonde; Mario Beaulieu; Marie-Carole Boucher (Image Processing, 2001)

An Interpretable Data-Driven Score for the Assessment of Fundus Images Quality. - Youri Peskine; Marie-Carole Boucher; Farida Cheriet (ICIAR (2), 2020)

Focused Attention in Transformers for interpretable classification of retinal images. - Clément Playout; Renaud Duval; Marie-Carole Boucher; Farida Cheriet (Medical Image Anal., 2022)

Steered Convolutional Neurons to Better Learn the Classification of Retinal Vessels. - Gabriel Lepetit-Aimon; Marie-Carole Boucher; Renaud Duval; Farida Cheriet (ISBI, 2023)

MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification. - Badr Ait Hammou; Fares Antaki; Marie-Carole Boucher; Renaud Duval (Int. J. Medical Informatics, 2023)

A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization. - Clément Playout; Zacharie Legault; Renaud Duval; Marie-Carole Boucher; Farida Cheriet (MICCAI (5), 2024)

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy. - Gabriel Lepetit-Aimon; Clément Playout; Marie-Carole Boucher; Renaud Duval; Michael H. Brent; Farida Cheriet (CoRR, 2024)

Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks. - Clément Playout; Renaud Duval; Marie-Carole Boucher; Farida Cheriet (CoRR, 2024)