A Contribution of Image Processing to the Diagnosis of Diabetic Retinopathy - Detection of Exudates in Color Fundus Images of the Human Retina. - Thomas Walter 003; Jean-Claude Klein; Pascale Massin; Ali Erginay (IEEE Trans. Medical Imaging, 2002)

Automatic detection of microaneurysms in color fundus images. - Thomas Walter 003; Pascale Massin; Ali Erginay; Richard Ordonez; Clotilde Jeulin; Jean-Claude Klein (Medical Image Anal., 2007)

A general framework for detecting diabetic retinopathy lesions in eye fundus images. - Gwenolé Quellec; Mathieu Lamard; Béatrice Cochener; Christian Roux; Guy Cazuguel; Etienne Decencière; Bruno Laÿ; Pascale Massin (CBMS, 2012)

A semi-automated computer tool for the analysis of retinal vessel diameter dynamics. - Guillaume Euvrard; Olivier Genevois; Isabelle Rivals; Pascale Massin; Amélie Collet; José-Alain Sahel; Michel Pâques (Comput. Biol. Medicine, 2013)

Exudate detection in color retinal images for mass screening of diabetic retinopathy. - Xiwei Zhang; Guillaume Thibault; Etienne Decencière; Beatriz Marcotegui; Bruno Laÿ; Ronan Danno; Guy Cazuguel; Gwenolé Quellec; Mathieu Lamard; Pascale Massin; Agnès Chabouis; Zeynep Victor; et al. (Medical Image Anal., 2014)

Automatic detection of referral patients due to retinal pathologies through data mining. - Gwenolé Quellec; Mathieu Lamard; Ali Erginay; Agnès Chabouis; Pascale Massin; Béatrice Cochener; Guy Cazuguel (Medical Image Anal., 2016)

Instant automatic diagnosis of diabetic retinopathy. - Gwenolé Quellec; Mathieu Lamard; Bruno Laÿ; Alexandre Le Guilcher; Ali Erginay; Béatrice Cochener; Pascale Massin (CoRR, 2019)

Automatic detection of multiple pathologies in fundus photographs using spin-off learning. - Gwenolé Quellec; Mathieu Lamard; Pierre-Henri Conze; Pascale Massin; Béatrice Cochener (CoRR, 2019)

Automatic detection of rare pathologies in fundus photographs using few-shot learning. - Gwenolé Quellec; Mathieu Lamard; Pierre-Henri Conze; Pascale Massin; Béatrice Cochener (Medical Image Anal., 2020)

Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. - Yutong Yan; Pierre-Henri Conze; Gwenolé Quellec; Pascale Massin; Mathieu Lamard; Gouenou Coatrieux; Béatrice Cochener (OMIA@MICCAI, 2021)

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. - Gwenolé Quellec; Hassan Al Hajj; Mathieu Lamard; Pierre-Henri Conze; Pascale Massin; Béatrice Cochener (Medical Image Anal., 2021)

Detection of Diabetic Retinopathy Using Longitudinal. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (OMIA@MICCAI, 2022)

Detection of diabetic retinopathy using longitudinal self-supervised learning. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (CoRR, 2022)

Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening Network. - Sarah Matta; Mariem Ben Hassine; Clément Lecat; Laurent Borderie; Alexandre Le Guilcher; Pascale Massin; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (EMBC, 2023)

Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (PRIME@MICCAI, 2023)

LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (MLMI@MICCAI (2), 2023)

Domain Generalization for Multi-disease Detection in Fundus Photographs. - Sarah Matta; Mathieu Lamard; Laurent Borderie; Alexandre Le Guilcher; Pascale Massin; Jean-Bernard Rottier; Béatrice Cochener; Gwenolé Quellec (EMBC, 2024)

LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Alireza Rezaei; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (MICCAI (5), 2024)

L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Alireza Rezaei; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (Comput. Biol. Medicine, 2025)