Pascale Massin

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 16

Top Topics

Diabetic Retinopathy

Automatic Detection

Top Venues

Medical Image Anal.

MLMI@MICCAI (2)

Publications

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
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression. CoRR (2024)
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
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. CoRR (2024)
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
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. PRIME@MICCAI (2023)
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
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. CoRR (2023)
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
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. CoRR (2023)
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
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. MLMI@MICCAI (2) (2023)
Sarah Matta, Mariem Ben Hassine, Clément Lecat, Laurent Borderie, Alexandre Le Guilcher, Pascale Massin, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening Network. EMBC (2023)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard
Detection of diabetic retinopathy using longitudinal self-supervised learning. CoRR (2022)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard
Detection of Diabetic Retinopathy Using Longitudinal. OMIA@MICCAI (2022)
Yutong Yan, Pierre-Henri Conze, Gwénolé Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Béatrice Cochener
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. OMIA@MICCAI (2021)
Gwénolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Anal. 72 (2021)
Gwénolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
Automatic detection of rare pathologies in fundus photographs using few-shot learning. Medical Image Anal. 61 (2020)
Gwénolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis. CoRR (2020)
Gwénolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
Automatic detection of multiple pathologies in fundus photographs using spin-off learning. CoRR (2019)
Gwénolé Quellec, Mathieu Lamard, Bruno Laÿ, Alexandre Le Guilcher, Ali Erginay, Béatrice Cochener, Pascale Massin
Instant automatic diagnosis of diabetic retinopathy. CoRR (2019)
Gwénolé Quellec, Mathieu Lamard, Ali Erginay, Agnès Chabouis, Pascale Massin, Béatrice Cochener, Guy Cazuguel
Automatic detection of referral patients due to retinal pathologies through data mining. Medical Image Anal. 29 (2016)
Xiwei Zhang, Guillaume Thibault, Etienne Decencière, Beatriz Marcotegui, Bruno Laÿ, Ronan Danno, Guy Cazuguel, Gwénolé Quellec, Mathieu Lamard, Pascale Massin, Agnès Chabouis, Zeynep Victor, Ali Erginay
Exudate detection in color retinal images for mass screening of diabetic retinopathy. Medical Image Anal. 18 (7) (2014)
Guillaume Euvrard, Olivier Genevois, Isabelle Rivals, Pascale Massin, Amélie Collet, José-Alain Sahel, Michel Pâques
A semi-automated computer tool for the analysis of retinal vessel diameter dynamics. Comput. Biol. Medicine 43 (5) (2013)
Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, Christian Roux, Guy Cazuguel, Etienne Decencière, Bruno Laÿ, Pascale Massin
A general framework for detecting diabetic retinopathy lesions in eye fundus images. CBMS (2012)
Thomas Walter, Pascale Massin, Ali Erginay, Richard Ordonez, Clotilde Jeulin, Jean-Claude Klein
Automatic detection of microaneurysms in color fundus images. Medical Image Anal. 11 (6) (2007)
Thomas Walter, Jean-Claude Klein, Pascale Massin, Ali Erginay
A Contribution of Image Processing to the Diagnosis of Diabetic Retinopathy - Detection of Exudates in Color Fundus Images of the Human Retina. IEEE Trans. Medical Imaging 21 (10) (2002)