Pascale Massin

According to our database, Pascale Massin authored at least 19 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

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

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

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

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

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

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

Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

2020

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

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

Instant automatic diagnosis of diabetic retinopathy.

Gwenolé Quellec, Mathieu Lamard, Bruno Laÿ, Alexandre Le Guilcher, Ali Erginay, Béatrice Cochener, Pascale Massin

CoRR, 2019

2016

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

2014

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, Ali Erginay

Medical Image Anal., 2014

2013

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

2012

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

Proceedings of CBMS 2012, 2012

2007

Automatic detection of microaneurysms in color fundus images.

Thomas Walter, Pascale Massin, Ali Erginay, Richard Ordonez, Clotilde Jeulin, Jean-Claude Klein

Medical Image Anal., 2007

2002

A Contribution of Image Processing to the Diagnosis of Diabetic Retinopathy - Detection of Exudates in Color Fundus Images of the Human Retina.

Thomas Walter, Jean-Claude Klein, Pascale Massin, Ali Erginay

IEEE Trans. Medical Imaging, 2002