Bertrand Thirion
Orcid: 0000-0001-5018-7895
According to our database1,
Bertrand Thirion
authored at least 243 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Continuous evaluation of denoising strategies in resting-state fMRI connectivity using fMRIPrep and Nilearn.
PLoS Comput. Biol., 2024
Measuring Variable Importance in Individual Treatment Effect Estimation with High Dimensional Data.
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn.
Dataset, June, 2023
A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn.
Dataset, June, 2023
Dataset, April, 2023
Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
NeuroImage, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Extracting representations of cognition across neuroimaging studies improves brain decoding.
PLoS Comput. Biol., 2021
NeuroImage, 2021
NeuroImage, 2021
NeuroImage, 2021
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
NeuroImage, 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
NeuroImage, 2019
Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach.
NeuroImage, 2019
NeuroImage, 2019
Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation.
Medical Image Anal., 2019
ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data.
Proceedings of the Information Processing in Medical Imaging, 2019
Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
IEEE Trans. Signal Process., 2018
NeuroImage, 2018
NeuroImage, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
NeuroImage, 2017
Joint prediction of multiple scores captures better individual traits from brain images.
NeuroImage, 2017
Seeing it all: Convolutional network layers map the function of the human visual system.
NeuroImage, 2017
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.
NeuroImage, 2017
ERCIM News, 2017
ERCIM News, 2017
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
IEEE Trans. Medical Imaging, 2016
PLoS Comput. Biol., 2016
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging.
CoRR, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Clustering the infant brain tissues based on microstructural properties and maturation assessment using multi-parametric MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Frontiers Neuroinformatics, 2014
Frontiers Neuroinformatics, 2014
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI.
CoRR, 2014
Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Automatic pathology classification using a single feature machine learning support - vector machines.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
2013
A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.
IEEE Trans. Medical Imaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions.
Proceedings of the Information Processing in Medical Imaging, 2013
A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation.
Proceedings of the Information Processing in Medical Imaging, 2013
2012
SIAM J. Imaging Sci., 2012
Pattern Recognit., 2012
An empirical comparison of surface-based and volume-based group studies in neuroimaging.
NeuroImage, 2012
Very large fMRI study using the IMAGEN database: Sensitivity-specificity and population effect modeling in relation to the underlying anatomy.
NeuroImage, 2012
Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares.
NeuroImage, 2012
Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators.
Medical Image Anal., 2012
A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain.
ERCIM News, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
IEEE Trans. Medical Imaging, 2011
Phase delays within visual cortex shape the response to steady-state visual stimulation.
NeuroImage, 2011
Int. J. Biomed. Imaging, 2011
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Information Processing in Medical Imaging, 2011
A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Brain covariance selection: better individual functional connectivity models using population prior.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Accurate Definition of Brain Regions Position through the Functional Landmark Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
A supervised clustering approach for extracting predictive information from brain activation images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface.
Proceedings of the 19th International Conference on Computational Statistics, 2010
Proceedings of the 19th International Conference on Computational Statistics, 2010
2009
CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series
CoRR, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Structural and probabilistic methods for group analysis in functional neuroimaging. (Méthodes structurales et probabilistes pour l'analyse de groupe en neuroimagerie fonctionnelle).
, 2009
2008
A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.
NeuroImage, 2008
Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging.
Int. J. Biomed. Imaging, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Mutual information-based feature selection enhances fMRI brain activity classification.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies.
IEEE Trans. Medical Imaging, 2007
Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses.
NeuroImage, 2007
Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach.
NeuroImage, 2007
Proceedings of the Information Processing in Medical Imaging, 2007
2006
NeuroImage, 2006
Inverse retinotopy: Inferring the visual content of images from brain activation patterns.
NeuroImage, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Improving Sensitivity and Reliability of fMRI Group Studies through High Level Combination of Individual Subjects Results.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
Medical Image Anal., 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
fMRI data analysis : statistics, information and dynamics. (Analyse de données d' IRM fonctionnelle : statistiques, information et dynamique).
PhD thesis, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Computer Aided Systems Theory, 2003
2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2000
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000