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2020 – today
- 2024
[c7]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. MICCAI (5) 2024: 404-414- [i8]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 abs/2403.16272 (2024) - [i7]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 abs/2404.07091 (2024) - 2023
- [c6]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: 1-4 - [c5]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: 1-13 - [c4]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: 22-32 - [i6]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 abs/2310.10420 (2023) - [i5]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 abs/2310.10431 (2023) - 2022
- [c3]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: 43-52 - [i4]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 abs/2209.00915 (2022) - 2021
- [j7]Gwenolé 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: 102118 (2021) - [c2]Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Béatrice Cochener:
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. OMIA@MICCAI 2021: 11-20 - 2020
- [j6]Gwenolé 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: 101660 (2020) - [i3]Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis. CoRR abs/2008.05731 (2020)
2010 – 2019
- 2019
- [i2]Gwenolé Quellec, Mathieu Lamard, Bruno Laÿ, Alexandre Le Guilcher, Ali Erginay, Béatrice Cochener, Pascale Massin:
Instant automatic diagnosis of diabetic retinopathy. CoRR abs/1906.11875 (2019) - [i1]Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
Automatic detection of multiple pathologies in fundus photographs using spin-off learning. CoRR abs/1907.09449 (2019) - 2016
- [j5]Gwenolé 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: 47-64 (2016) - 2014
- [j4]Xiwei Zhang, Guillaume Thibault, Etienne Decencière, Beatriz Marcotegui, Bruno Laÿ, Ronan Danno, Guy Cazuguel, Gwenolé 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): 1026-1043 (2014) - 2013
- [j3]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): 513-523 (2013) - 2012
- [c1]Gwenolé 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: 1-6
2000 – 2009
- 2007
- [j2]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): 555-566 (2007) - 2002
- [j1]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): 1236-1243 (2002)
Coauthor Index
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