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2020 – today
- 2024
[j16]Benoit Dufumier
, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay:
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage 296: 120665 (2024)- [c18]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori:
Separating common from salient patterns with Contrastive Representation Learning. ICLR 2024 - [c17]Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay:
Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. ISBI 2024: 1-5 - [c16]Clément Langlet, Denis Rivière, Antoine Grigis, Vincent Frouin, Jean-François Mangin:
Structural-Connectivity-Based Individual Parcellations Improve Regional Cortical Thickness Heritability Study. ISBI 2024: 1-5 - [c15]Sara Petiton, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay:
How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? ISBI 2024: 1-5 - [i8]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori:
Separating common from salient patterns with Contrastive Representation Learning. CoRR abs/2402.11928 (2024) - [i7]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, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Dimitri Papadopoulos, Hervé Lemaître, Tomás Paus, Luise Poustka, Sarah Hohmann, Nathalie Holz, Juliane H. Fröhner, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Christian Büchel, JB Poline, Bernd Itterman, Vincent Frouin, Alexandre Martin, IMAGEN study group, Claire Cury, Olivier Colliot:
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts. CoRR abs/2408.02496 (2024) - 2023
- [j15]Clement Poiret, Antoine Bouyeure, Sandesh Patil, Antoine Grigis, Edouard Duchesnay, Matthieu Faillot, Michel Bottlaender, Frederic Lemaitre, Marion Noulhiane:
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. Frontiers Neuroinformatics 17 (2023) - [j14]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:
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 21(2): 287-301 (2023) - [c14]Corentin Ambroise, Antoine Grigis, Edouard Duchesnay, Vincent Frouin:
Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. ISBI 2023: 1-5 - [c13]Chloé Gomez, Jordy Tasserie, Lynn Uhrig, Béchir Jarraya, Antoine Grigis:
Exploration of the Neural Correlates of Consciousness Using Linear Latent Model. ISBI 2023: 1-5 - [c12]Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis:
MixUp Brain-Cortical Augmentations in Self-supervised Learning. MLCN@MICCAI 2023: 102-111 - [c11]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:
Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria. Image Processing 2023 - [i6]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori:
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR abs/2307.06206 (2023) - [i5]Clement Poiret, Antoine Grigis, Justin Thomas, Marion Noulhiane:
Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI. CoRR abs/2308.07247 (2023) - 2022
- [j13]Miguel Guevara, Zhong-Yi Sun, Pamela Guevara, Denis Rivière, Antoine Grigis, Cyril Poupon, Jean-François Mangin:
Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification. NeuroImage 255: 119197 (2022) - [j12]Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay:
OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing. NeuroImage 263: 119637 (2022) - [c10]Antoine Grigis, Chloé Gomez, Vincent Frouin, Lynn Uhrig, Béchir Jarraya:
Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity. MICCAI (1) 2022: 261-270 - [c9]Chloé Gomez, Antoine Grigis, Lynn Uhrig, Béchir Jarraya:
Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders. MICCAI (1) 2022: 419-429 - [d1]Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay:
OpenBHB: a Multi-Site Brain MRI Dataset for Age Prediction and Debiasing. IEEE DataPort, 2022
- 2021
- [j11]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:
Similarity and stability of face network across populations and throughout adolescence and adulthood. NeuroImage 244: 118587 (2021) - [c8]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:
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) 2021: 58-68 - [c7]Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay:
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) 2021: 755-771 - [i4]Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay:
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. CoRR abs/2106.01132 (2021) - [i3]Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay:
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR abs/2106.08808 (2021) - [i2]Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay:
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR abs/2107.01988 (2021) - [i1]Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay:
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR abs/2111.05643 (2021) - 2020
- [j10]Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., Sophie Starck, Benoît Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck:
PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. Astron. Comput. 32: 100402 (2020) - [j9]Jordy Tasserie, Antoine Grigis, Lynn Uhrig, Morgan Dupont, Alexis Amadon, Béchir Jarraya:
Pypreclin: An automatic pipeline for macaque functional MRI preprocessing. NeuroImage 207 (2020) - [j8]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:
The empirical replicability of task-based fMRI as a function of sample size. NeuroImage 212: 116601 (2020) - [j7]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:
Brain structure and habitat: Do the brains of our children tell us where they have been brought up? NeuroImage 222: 117225 (2020)
2010 – 2019
- 2019
- [j6]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:
Quantifying performance of machine learning methods for neuroimaging data. NeuroImage 199: 351-365 (2019) - [c6]Yann Le Guen, Slim Karkar, Antoine Grigis, Cathy Philippe, Jean-François Mangin, Vincent Frouin:
Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset. ISBI 2019: 1887-1890 - 2018
- [j5]Yann Le Guen, François Leroy, Guillaume Auzias, Denis Rivière, Antoine Grigis, Jean-François Mangin, Olivier Coulon, Ghislaine Dehaene-Lambertz, Vincent Frouin:
The chaotic morphology of the left superior temporal sulcus is genetically constrained. NeuroImage 174: 297-307 (2018) - [c5]Hamza Cherkaoui, Loubna El Gueddari, Carole Lazarus, Antoine Grigis, Fabrice Poupon, Alexandre Vignaud, Samuel Farrens, Jean-Luc Starck, Philippe Ciuciu:
Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla. EUSIPCO 2018: 36-40 - 2017
- [j4]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:
Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework. Frontiers Neuroinformatics 11: 18 (2017) - 2016
- [j3]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:
CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts. Neuroinformatics 14(3): 253-264 (2016) - 2013
- [j2]Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach:
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. Medical Image Anal. 17(3): 375-386 (2013) - 2012
- [j1]Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach:
Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. NeuroImage 60(4): 2206-2221 (2012) - 2011
- [c4]Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
A new high order tensor decomposition: Application to reorientation. ISBI 2011: 258-261 - [c3]Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach:
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. MICCAI (2) 2011: 1-8 - 2010
- [c2]Félix Renard, Vincent Noblet, Antoine Grigis, Christian Heinrich, Stéphane Kremer:
Comparison of interpolation methods for angular resampling of diffusion weighted images. IPTA 2010: 207-211 - [c1]Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach:
Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. MICCAI (2) 2010: 117-124
Coauthor Index
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