Comparison of interpolation methods for angular resampling of diffusion weighted images. - Félix Renard; Vincent Noblet; Antoine Grigis; Christian Heinrich; Stéphane Kremer (IPTA, 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 (MICCAI (2), 2010)

A new high order tensor decomposition: Application to reorientation. - Antoine Grigis; Félix Renard; Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (ISBI, 2011)

Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Jean-Paul Armspach (MICCAI (2), 2011)

Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. - Antoine Grigis; Vincent Noblet; Fabrice Heitz; Frédéric Blanc 002; Jérôme de Seze; Stéphane Kremer; Lucien Rumbach; Jean-Paul Armspach (NeuroImage, 2012)

Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Stéphane Kremer; Jean-Paul Armspach (Medical Image Anal., 2013)

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; et al. (Neuroinformatics, 2016)

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)

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 (EUSIPCO, 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)

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 (ISBI, 2019)

Quantifying performance of machine learning methods for neuroimaging data. - Lee Jollans; Rory T. Boyle; Eric Artiges; Tobias Banaschewski; Sylvane Desrivières; Antoine Grigis; Jean-Luc Martinot; Tomás Paus; Michael N. Smolka; Henrik Walter; Gunter Schumann; Hugh Garavan; et al. (NeuroImage, 2019)

PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. - Samuel Farrens; Antoine Grigis; Loubna El Gueddari; Zaccharie Ramzi; Chaithya G. R.; Sophie Starck; Benoît Sarthou; Hamza Cherkaoui; Philippe Ciuciu; Jean-Luc Starck (Astron. Comput., 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; et al. (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; et al. (NeuroImage, 2020)

Pypreclin: An automatic pipeline for macaque functional MRI preprocessing. - Jordy Tasserie; Antoine Grigis; Lynn Uhrig; Morgan Dupont; Alexis Amadon; Béchir Jarraya (NeuroImage, 2020)

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; et al. (MICCAI (2), 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 (ECML/PKDD (1), 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)

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)

Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. - Benoit Dufumier; Pietro Gori; Julie Victor; Antoine Grigis; Edouard Duchesnay (CoRR, 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; et al. (NeuroImage, 2021)

Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders. - Chloé Gomez; Antoine Grigis; Lynn Uhrig; Béchir Jarraya (MICCAI (1), 2022)

Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity. - Antoine Grigis; Chloé Gomez; Vincent Frouin; Lynn Uhrig; Béchir Jarraya (MICCAI (1), 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)

Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification. - Miguel Guevara 003; Zhong-Yi Sun 003; Pamela Guevara; Denis Rivière; Antoine Grigis; Cyril Poupon; Jean-François Mangin (NeuroImage, 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 (IEEE DataPort, 2022)

Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. - Corentin Ambroise; Antoine Grigis; Edouard Duchesnay; Vincent Frouin (ISBI, 2023)

Exploration of the Neural Correlates of Consciousness Using Linear Latent Model. - Chloé Gomez; Jordy Tasserie; Lynn Uhrig; Béchir Jarraya; Antoine Grigis (ISBI, 2023)

MixUp Brain-Cortical Augmentations in Self-supervised Learning. - Corentin Ambroise; Vincent Frouin; Benoit Dufumier; Edouard Duchesnay; Antoine Grigis (MLCN@MICCAI, 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; et al. (Image Processing, 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)

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, 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; et al. (Neuroinformatics, 2023)

Separating common from salient patterns with Contrastive Representation Learning. - Robin Louiset; Edouard Duchesnay; Antoine Grigis; Pietro Gori (ICLR, 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 (ISBI, 2024)

Structural-Connectivity-Based Individual Parcellations Improve Regional Cortical Thickness Heritability Study. - Clément Langlet; Denis Rivière; Antoine Grigis; Vincent Frouin; Jean-François Mangin (ISBI, 2024)

How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? - Sara Petiton; Antoine Grigis; Benoit Dufumier; Edouard Duchesnay (ISBI, 2024)

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. - Robin Louiset; Edouard Duchesnay; Antoine Grigis; Benoit Dufumier; Pietro Gori (MIDL, 2024)

Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts. - Lisa Hemforth; Baptiste Couvy-Duchesne; Kevin De Matos; Camille Brianceau; Matthieu Joulot; Tobias Banaschewski; Arun L. W. Bokde; Sylvane Desrivières; Herta Flor; Antoine Grigis; Hugh Garavan; Penny Gowland; et al. (CoRR, 2024)

Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. - Benoit Dufumier; Pietro Gori; Sara Petiton; Robin Louiset; Jean-François Mangin; Antoine Grigis; Edouard Duchesnay (NeuroImage, 2024)