Antoine Grigis

According to our database, Antoine Grigis authored at least 36 papers between 2010 and 2024.

Collaborative distances:

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

2024

Separating common from salient patterns with Contrastive Representation Learning.

Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori

CoRR, 2024

2023

Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains.

Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivières, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun

Neuroinformatics, April, 2023

A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics.

Clement Poiret, Antoine Bouyeure, Sandesh Patil, Antoine Grigis, Edouard Duchesnay, Matthieu Faillot, Michel Bottlaender, Frederic Lemaitre, Marion Noulhiane

Frontiers Neuroinformatics, March, 2023

Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI.

Clement Poiret, Antoine Grigis, Justin Thomas, Marion Noulhiane

CoRR, 2023

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.

Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori

CoRR, 2023

Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria.

Lisa Hemforth, Claire Cury, Vincent Frouin, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Luise Poustka, Sarah Hohmann, Sabina Millenet, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Baptiste Couvy-Duchesne, Olivier Colliot

Proceedings of the Medical Imaging 2023: Image Processing, 2023

MixUp Brain-Cortical Augmentations in Self-supervised Learning.

Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis

Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Exploration of the Neural Correlates of Consciousness Using Linear Latent Model.

Chloé Gomez, Jordy Tasserie, Lynn Uhrig, Béchir Jarraya, Antoine Grigis

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort.

Corentin Ambroise, Antoine Grigis, Edouard Duchesnay, Vincent Frouin

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

OpenBHB: a Multi-Site Brain MRI Dataset for Age Prediction and Debiasing.

Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay

Dataset, September, 2022

Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification.

Miguel Guevara, Zhong-Yi Sun, Pamela Guevara, Denis Rivière, Antoine Grigis, Cyril Poupon, Jean-François Mangin

NeuroImage, 2022

OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing.

Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay

NeuroImage, 2022

Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity.

Antoine Grigis, Chloé Gomez, Vincent Frouin, Lynn Uhrig, Béchir Jarraya

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

Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders.

Chloé Gomez, Antoine Grigis, Lynn Uhrig, Béchir Jarraya

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

2021

Similarity and stability of face network across populations and throughout adolescence and adulthood.

Zhijie Liao, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos-Orfanos, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Tomás Paus

NeuroImage, 2021

Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels.

Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay

CoRR, 2021

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification.

Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay

CoRR, 2021

Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning.

Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay

CoRR, 2021

UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning.

Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification.

Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Mary L. Phillips, Lisa Eyler, Edouard Duchesnay

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

<i>Pypreclin</i>: An automatic pipeline for macaque functional MRI preprocessing.

Jordy Tasserie, Antoine Grigis, Lynn Uhrig, Morgan Dupont, Alexis Amadon, Béchir Jarraya

NeuroImage, 2020

Brain structure and habitat: Do the brains of our children tell us where they have been brought up?

Simone Kühn, Tobias Banaschewski, Arun L. W. Bokde, Christian Büchel, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Frauke Nees, Dimitri Papadopoulos-Orfanos, Tomás Paus, Luise Poustka, Jürgen Gallinat

NeuroImage, 2020

The empirical replicability of task-based fMRI as a function of sample size.

Han Bossier, Sanne P. Roels, Ruth Seurinck, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos-Orfanos, Beatrijs Moerkerke

NeuroImage, 2020

PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing.

Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., S. Starck, B. Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck

Astron. Comput., 2020

2019

Quantifying performance of machine learning methods for neuroimaging data.

Lee Jollans, Rory Boyle, Eric Artiges, Tobias Banaschewski, Sylvane Desrivières, Antoine Grigis, Jean-Luc Martinot, Tomás Paus, Michael N. Smolka, Henrik Walter, Gunter Schumann, Hugh Garavan, Robert Whelan

NeuroImage, 2019

Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset.

Yann Le Guen, Slim Karkar, Antoine Grigis, Cathy Philippe, Jean-François Mangin, Vincent Frouin

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

The chaotic morphology of the left superior temporal sulcus is genetically constrained.

Yann Le Guen, François Leroy, Guillaume Auzias, Denis Rivière, Antoine Grigis, Jean-François Mangin, Olivier Coulon, Ghislaine Dehaene-Lambertz, Vincent Frouin

NeuroImage, 2018

Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla.

Hamza Cherkaoui, Loubna El Gueddari, Carole Lazarus, Antoine Grigis, Fabrice Poupon, Alexandre Vignaud, Samuel Farrens, Jean-Luc Starck, Philippe Ciuciu

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework.

Antoine Grigis, David Goyard, Robin Cherbonnier, Thomas Gareau, Dimitri Papadopoulos-Orfanos, Nicolas Chauvat, Adrien Di Mascio, Gunter Schumann, Will Spooren, Declan G. M. Murphy, Vincent Frouin

Frontiers Neuroinformatics, 2017

2016

CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts.

Grégory Operto, Marie Chupin, Bénédicte Batrancourt, Marie Odile Habert, Olivier Colliot, Habib Benali, Cyril Poupon, Catherine Champseix, Christine Delmaire, Marie Sullivan, Denis Rivière, Mélanie Pélégrini-Issac, Vincent Perlbarg, Régine Trébossen, Michel Bottlaender, Vincent Frouin, Antoine Grigis, Dimitri Papadopoulos-Orfanos, Hugo Dary, Ludovic Fillon, Chabha Azouani, Ali Bouyahia, Clara Fischer, Lydie Edward, Mathilde Bouin, Urielle Thoprakarn, Jinpeng Li, Leila Makkaoui, Sylvain Poret, Carole Dufouil, Vincent Bouteloup, Gaël Chételat, Bruno Dubois, Stéphane Lehéricy, Jean-François Mangin, Yann Cointepas

Neuroinformatics, 2016

2013

Longitudinal change detection: Inference on the diffusion tensor along white matter pathways.

Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach

Medical Image Anal., 2013

2012

Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors.

Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach

NeuroImage, 2012

2011

Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways.

Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A new high order tensor decomposition: Application to reorientation.

Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors.

Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Comparison of interpolation methods for angular resampling of diffusion weighted images.

Félix Renard, Vincent Noblet, Antoine Grigis, Christian Heinrich, Stéphane Kremer

Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010