Joël Chavas

According to our database, Joël Chavas authored at least 15 papers between 1998 and 2026.

Collaborative distances:

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

2026

Detecting Rare Cortical Connectivity Around the Human Central Sulcus: A Deep Learning Analysis of 37,000+ Tractographies.

Cristobal Mendoza, Nabil Vindas, Joël Chavas, Julien Laval, Antoine Dufournet, Pamela Guevara, Vincent Frouin, Denis Rivière, Jean-François Mangin

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Right Collateral Sulcus Morphology Correlates With Receptive Communication in Preterm Born Adolescents and Neonates.

Racim Menasria, Julien Laval, Denis Rivière, Jessica Dubois, Jean-François Mangin, Joël Chavas

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Towards a Better Understanding of the Genetics of the Human Cortical Folding.

Antoine Dufournet, Joël Chavas, Julien Laval, Denis Rivière, Vincent Frouin, Jean-François Mangin

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

AI-Driven Identification of Subclinical Alcohol Use Disorder in Type 2 Diabetes Patients.

Melissa Larbi, Edouard Audit, Joël Chavas, Simplice Donfack, Vincent Mallet

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

Optimizing contrastive learning for cortical folding pattern detection.

Aymeric Gaudin, Louise Guillon, Clara Fischer, Arnaud Cachia, Denis Rivière, Jean-François Mangin, Joël Chavas

CoRR, 2024

Towards a Foundation Model for Cortical Folding.

Julien Laval, Joël Chavas, Vanessa Troiani, William Snyder, Marisa Patti, Mylène Moyal, Marion Plaze, Arnaud Cachia, Zhongyi Sun, Vincent Frouin, Pietro Gori, Denis Rivière, Jean-François Mangin

Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024

Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders.

Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning.

Louise Guillon, Joël Chavas, Audrey Bénézit, Marie-Laure Moutard, Denis Rivière, Jean-François Mangin

CoRR, 2022

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns.

Joël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models.

Louise Guillon, Bastien Cagna, Benoit Dufumier, Joël Chavas, Denis Rivière, Jean-François Mangin

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

2018

Live Demonstration: A Wearable Device for Optogenetic Vision Restoration.

Francesco Galluppi, Guillaume Chenegros, Didier Pruneau, Nacer Boussahoul, Gilles Cordurié, Charlie Galle, Nicolas Oddo, Xavier Lagorce, Christoph Posch, Proshato Shabestary, Joël Chavas, Ryad Benosman

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

A stimulation platform for optogenetic and bionic vision restoration.

Francesco Galluppi, Didier Pruneau, Joël Chavas, Xavier Lagorce, Christoph Posch, Guillaume Chenegros, Gilles Cordurié, Charlie Galle, Nicolas Oddo, Ryad Benosman

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Live demonstration: A stimulation platform for optogenetic and bionic vision restoration.

Francesco Galluppi, Guillaume Chenegros, Didier Pruneau, Gilles Cordurié, Charlie Galle, Nicolas Oddo, Xavier Lagorce, Christoph Posch, Joël Chavas, Ryad Benosman

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2005

Construction and VHDL Implementation of a Fully Local Network with Good Reconstruction Properties of the Inputs.

Joël Chavas, Demian Battaglia, Andres Cicuttin, Riccardo Zecchina

Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

1998

Incremental Evolution of Neural Controllers for Robust Obstacle-Avoidance in Khepera.

Joël Chavas, Christophe Corne, Peter Horvai, Jérôme Kodjabachian, Jean-Arcady Meyer

Proceedings of the Evolutionary Robotics, First European Workshop, 1998