Antoine Grigis

43 papers A* 1B 1Journal 23Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Does Connectome Harmonic Analysis Pass the Spin Test? MICCAI (12) Raphaël Vock, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay
2024	J	`jnl`	Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts. CoRR 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
2024	J	`jnl`	Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay
2024	—	`conf`	How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? ISBI Sara Petiton, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay
2024	—	`conf`	SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. MIDL Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2024	A*	`conf`	Separating common from salient patterns with Contrastive Representation Learning. ICLR Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
2024	J	`jnl`	Separating common from salient patterns with Contrastive Representation Learning. CoRR Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
2024	—	`conf`	Structural-Connectivity-Based Individual Parcellations Improve Regional Cortical Thickness Heritability Study. ISBI Clément Langlet, Denis Rivière, Antoine Grigis, Vincent Frouin, Jean-François Mangin
2024	—	`conf`	Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. ISBI Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay
2023	J	`jnl`	A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. Frontiers Neuroinformatics Clement Poiret, Antoine Bouyeure, Sandesh Patil, Antoine Grigis, Edouard Duchesnay, Matthieu Faillot, Michel Bottlaender, Frederic Lemaitre, Marion Noulhiane
2023	J	`jnl`	Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI. CoRR Clement Poiret, Antoine Grigis, Justin Thomas, Marion Noulhiane
2023	—	`conf`	Exploration of the Neural Correlates of Consciousness Using Linear Latent Model. ISBI Chloé Gomez, Jordy Tasserie, Lynn Uhrig, Béchir Jarraya, Antoine Grigis
2023	J	`jnl`	Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 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
2023	B	`conf`	Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria. Image Processing 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
2023	—	`conf`	MixUp Brain-Cortical Augmentations in Self-supervised Learning. MLCN@MICCAI Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis
2023	—	`conf`	Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. ISBI Corentin Ambroise, Antoine Grigis, Edouard Duchesnay, Vincent Frouin
2023	J	`jnl`	SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2022	—	`conf`	Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders. MICCAI (1) Chloé Gomez, Antoine Grigis, Lynn Uhrig, Béchir Jarraya
2022	J	`jnl`	Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification. NeuroImage Miguel Guevara, Zhong-Yi Sun, Pamela Guevara, Denis Rivière, Antoine Grigis, Cyril Poupon, Jean-François Mangin
2022	—	`conf`	Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity. MICCAI (1) Antoine Grigis, Chloé Gomez, Vincent Frouin, Lynn Uhrig, Béchir Jarraya
2022	J	`jnl`	OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing. NeuroImage Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay
2021	J	`jnl`	Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. CoRR Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
2021	—	`conf`	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) 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
2021	J	`jnl`	Similarity and stability of face network across populations and throughout adolescence and adulthood. NeuroImage 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
2021	—	`conf`	UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
2020	J	`jnl`	Brain structure and habitat: Do the brains of our children tell us where they have been brought up? NeuroImage 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
2020	J	`jnl`	PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. Astron. Comput. Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., Sophie Starck, Benoît Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck
2020	J	`jnl`	The empirical replicability of task-based fMRI as a function of sample size. NeuroImage 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
2019	—	`conf`	Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset. ISBI Yann Le Guen, Slim Karkar, Antoine Grigis, Cathy Philippe, Jean-François Mangin, Vincent Frouin
2019	J	`jnl`	Quantifying performance of machine learning methods for neuroimaging data. NeuroImage 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, Robert Whelan
2018	—	`conf`	Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla. EUSIPCO Hamza Cherkaoui, Loubna El Gueddari, Carole Lazarus, Antoine Grigis, Fabrice Poupon, Alexandre Vignaud, Samuel Farrens, Jean-Luc Starck, Philippe Ciuciu
2018	J	`jnl`	The chaotic morphology of the left superior temporal sulcus is genetically constrained. NeuroImage Yann Le Guen, François Leroy, Guillaume Auzias, Denis Rivière, Antoine Grigis, Jean-François Mangin, Olivier Coulon, Ghislaine Dehaene-Lambertz, Vincent Frouin
2017	J	`jnl`	Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework. Frontiers Neuroinformatics 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
2016	J	`jnl`	CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts. Neuroinformatics 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
2013	J	`jnl`	Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. Medical Image Anal. Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach
2012	J	`jnl`	Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. NeuroImage Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach
2011	—	`conf`	A new high order tensor decomposition: Application to reorientation. ISBI Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2011	—	`conf`	Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. MICCAI (2) Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach
2010	—	`conf`	Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. MICCAI (2) Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach
2010	—	`conf`	Comparison of interpolation methods for angular resampling of diffusion weighted images. IPTA Félix Renard, Vincent Noblet, Antoine Grigis, Christian Heinrich, Stéphane Kremer