B. Thirion

Jean-Baptiste Poline, Bertrand Thirion, Vincent Michel, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?

Jean-Francois Mangin, Jean-Baptiste Poline, Bertrand Thirion, 2008, MICCAI.

Anatomo-Functional Description of the Brain : A Probabilistic Approach

Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Towards a faster randomized parcellation based inference

Andres Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion, 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Robust regression for large-scale neuroimaging studies

Vincent Frouin, Jean-Baptiste Poline, Gaël Varoquaux, 2015, NeuroImage.

Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators

Benjamin Thyreau, Jean-Baptiste Poline, Gaël Varoquaux, 2012, Medical Image Anal..

A fast computational framework for genome-wide association studies with neuroimaging data

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2012 .

Identifying Predictive Regions from fMRI with TV-L1 Prior

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Machine learning patterns for neuroimaging-genetic studies in the cloud

Vincent Frouin, Jean-Baptiste Poline, Gaël Varoquaux, 2014, Front. Neuroinform..

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction

Bertrand Thirion, Vincent Michel, Christine Keribin, 2011, Int. J. Biomed. Imaging.

Dynamical components analysis of fMRI data through kernel PCA

Olivier Faugeras, Bertrand Thirion, O. Faugeras, 2003, NeuroImage.

Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals

Gaël Varoquaux, Bertrand Thirion, Jonas Kahn, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Extracting representations of cognition across neuroimaging studies improves brain decoding

G. Varoquaux, B. Thirion, J. Mairal, 2018, PLoS Comput. Biol..

Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity

Gaël Varoquaux, Bertrand Thirion, Mehdi Rahim, 2017, MICCAI.

Feature characterization in fMRI data: the Information Bottleneck approach

Olivier D. Faugeras, Bertrand Thirion, O. Faugeras, 2004, Medical Image Anal..

Robust statistics for nonparametric group analysis in fMRI

Bertrand Thirion, Sébastien Mériaux, Alexis Roche, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant

Benjamin Thyreau, Jean-Baptiste Poline, Gaël Varoquaux, 2011, MICCAI.

Compressed online dictionary learning for fast resting-state fMRI decomposition

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015, MICCAI.

Tissue outcome prediction in hyperacute ischemic stroke: Comparison of machine learning models

B. Thirion, J. Baron, C. Oppenheim, 2021, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series pdf

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2009, ArXiv.

A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn

B. Thirion, Pierre Bellec, H. Sharmarke, 2023 .

Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation

Ronald Phlypo, Gaël Varoquaux, Bertrand Thirion, 2014, MICCAI.

Phase delays within visual cortex shape the response to steady-state visual stimulation

Bertrand Thirion, Maureen Clerc, Benoit Cottereau, 2011, NeuroImage.

Analysis of fMRI data sampled from Large Populations: Statistical and Methodological Issues

Jean-Baptiste Poline, Bertrand Thirion, Philippe Pinel, 2007 .

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks

Daniel Rueckert, Fani Deligianni, Gaël Varoquaux, 2013, IEEE Transactions on Medical Imaging.

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections

Daniel Rueckert, Fani Deligianni, Gaël Varoquaux, 2011, IPMI.

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI pdf

Dimitris Samaras, Gaël Varoquaux, Bertrand Thirion, 2014, ArXiv.

Population shrinkage of covariance (PoSCE) for better individual brain functional‐connectivity estimation☆

Gaël Varoquaux, Bertrand Thirion, Mehdi Rahim, 2019, Medical Image Anal..

Variational, geometric, and statistical methods for modeling brain anatomy and function

Rachid Deriche, Jean-Philippe Pons, Christophe Lenglet, 2004, NeuroImage.

SmartPulse, a machine learning approach for calibration‐free dynamic RF shimming: Preliminary study in a clinical environment

Bertrand Thirion, Alexis Amadon, Alexandre Vignaud, 2019, Magnetic resonance in medicine.

Multi-output predictions from neuroimaging: assessing reduced-rank linear models

Gaël Varoquaux, Bertrand Thirion, Mehdi Rahim, 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Data-driven HRF estimation for encoding and decoding models

Michael Eickenberg, Bertrand Thirion, Philippe Ciuciu, 2014, NeuroImage.

Learning Neural Representations of Human Cognition across Many fMRI Studies

Thomas E. Nichols, Danilo Bzdok, Gaël Varoquaux, 2017, NIPS.

Atlases of cognition with large-scale human brain mapping

Jean-Baptiste Poline, Danilo Bzdok, Bertrand Thirion, 2018, PLoS Comput. Biol..

Text to brain: predicting the spatial distribution of neuroimaging observations from text reports pdf

Russell A. Poldrack, Fabian M. Suchanek, Gaël Varoquaux, 2018, MICCAI.

Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data

Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, 2015, NIPS.

Robust clustering of massive tractography datasets

Maxime Descoteaux, Jean-Francois Mangin, Bertrand Thirion, 2011, NeuroImage.

Continuous Evaluation of Denoising Strategies in Resting-State fMRI Connectivity Using fMRIPrep and Nilearn

B. Thirion, Pierre Bellec, H. Sharmarke, 2023, bioRxiv.

nipy/nibabel: 3.2.1

Krzysztof J. Gorgolewski, Felix C. Morency, Gregory R. Lee, 2020 .

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity

Bertrand Thirion, Francis R. Bach, Guillaume Obozinski, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Nonlinear dimension reduction of fMRI data: the Laplacian embedding approach

Olivier D. Faugeras, Bertrand Thirion, O. Faugeras, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Learning brain regions via large-scale online structured sparse dictionary learning

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2016, NIPS.

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso pdf

Bertrand Thirion, Alexandre Gramfort, Joseph Salmon, 2020, ArXiv.

Automatic pathology classification using a single feature machine learning support - vector machines

Yalin Wang, Natasha Lepore, Bertrand Thirion, 2014, Medical Imaging.

Causal mediation analysis with one or multiple mediators: a comparative study

B. Thirion, J. Josse, J. Abécassis, 2022 .

Connectivity-Informed fMRI Activation Detection

Jean-Baptiste Poline, Bernard Ng, Gaël Varoquaux, 2011, MICCAI.

Atlases of cognition with large-scale brain mapping

Russell A. Poldrack, Jean-Baptiste Poline, Danilo Bzdok, 2018 .

Feature Detection in fMRI Data: The Information Bottleneck Approach

Olivier D. Faugeras, Bertrand Thirion, O. Faugeras, 2003, MICCAI.

Probing Brain Context-Sensitivity with Masked-Attention Generation

B. Thirion, Yair Lakretz, Christophe Pallier, 2023, arXiv.org.

Mutual information-based feature selection enhances fMRI brain activity classification

Bertrand Thirion, Vincent Michel, Cécilia Damon, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Dictionary Learning for Massive Matrix Factorization pdf

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2016, ICML.

ICA-based sparse features recovery from fMRI datasets

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Dynamical Components Analysis of FMRI Data: A Second Order Solution

Olivier D. Faugeras, Bertrand Thirion, O. Faugeras, 2003, EUROCAST.

Dynamical components analysis of fMRI data

Olivier D. Faugeras, Bertrand Thirion, O. Faugeras, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Activation Detection and Characterisation in Brain fMRI Sequences. Application to the study of monkey vision.

Olivier Faugeras, Bertrand Thirion, O. Faugeras, 2001 .

Dictionary Learning for Massive Matrix Factorization Dictionary Learning for Massive Matrix Factorization

G. Varoquaux, B. Thirion, J. Mairal, 2022 .

Statistical Learning for Resting-State fMRI: Successes and Challenges

Gaël Varoquaux, Bertrand Thirion, G. Varoquaux, 2011, MLINI.

Beyond brain age: Empirically-derived proxy measures of mental health

G. Varoquaux, B. Thirion, D. Engemann, 2020 .

Mapping paradigm ontologies to and from the brain

Gaël Varoquaux, Bertrand Thirion, Yannick Schwartz, 2013, NIPS.

How machine learning is shaping cognitive

Bertrand Thirion, B. Thirion, 2014 .

Best Practices in Data Analysis and Sharing in Neuroimaging using MRI

Thomas E. Nichols, Alan C. Evans, B. Thirion, 2016, bioRxiv.

A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies

Jean-Baptiste Poline, Michael Eickenberg, Gaël Varoquaux, 2012, MICCAI 2012.

Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning

Dimitris Samaras, Gaël Varoquaux, Bertrand Thirion, 2013, MICCAI.

Best Practices in Data Analysis and Sharing in Neuroimaging using MRI

Thomas E. Nichols, Alan C. Evans, B. Thirion, 2016, bioRxiv.

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection

Daniel Rueckert, Fani Deligianni, Gaël Varoquaux, 2011, MLINI.

Functional Magnetic Resonance Imaging data augmentation through conditional ICA pdf

Bertrand Thirion, Hugo Richard, Badr Tajini, 2021, MICCAI.

Transport on Riemannian Manifold for Connectivity-Based Brain Decoding

G. Varoquaux, B. Thirion, M. Greicius, 2016, IEEE Transactions on Medical Imaging.

Fast clustering for scalable statistical analysis on structured images pdf

Andres Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion, 2015, ICML 2015.

Robust regression for large-scale neuroimaging studies

G. Varoquaux, B. Thirion, T. Paus, 2015, NeuroImage.

Robust Group-Level Inference in Neuroimaging Genetic Studies

Vincent Frouin, Jean-Baptiste Poline, Gaël Varoquaux, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Optimizing deep video representation to match brain activity

Ana Luísa Pinho, B. Thirion, G. Charpiat, 2018, 2018 Conference on Cognitive Computational Neuroscience.

ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data

Bertrand Thirion, Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, 2019, IPMI.

Brain-based ranking of cognitive domains to predict schizophrenia

G. Varoquaux, B. Thirion, O. Grisel, 2018, bioRxiv.

Learning to rank from medical imaging data pdf

Bertrand Thirion, Gael Varoquaux, Alexandre Gramfort, 2012, MLMI.

SmartPulse, a machine learning approach for calibration‐free dynamic RF shimming: Preliminary study in a clinical environment

A. Luciani, B. Thirion, N. Boulant, 2019, Magnetic resonance in medicine.

Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions

Gaël Varoquaux, Bertrand Thirion, Philippe Pinel, 2013, IPMI.

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas

Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps

A. Gramfort, B. Thirion, S. Baillet, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Discriminative Network Models of Schizophrenia

Benjamin Thyreau, Bertrand Thirion, Guillermo A. Cecchi, 2009, NIPS.

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis

Bertrand Thirion, Vincent Michel, Christine Keribin, 2010, MLMI.

Adaptive multi-class Bayesian sparse regression - An application to brain activity classification

Bertrand Thirion, Vincent Michel, Christine Keribin, 2009 .

FReM – Scalable and stable decoding with fast regularized ensemble of models

G. Varoquaux, B. Thirion, Y. Schwartz, 2017, NeuroImage.

Decoding fMRI activity in the time domain improves classification performance

Gaël Varoquaux, Bertrand Thirion, João Loula, 2017, NeuroImage.

A group model for stable multi-subject ICA on fMRI datasets

G. Varoquaux, B. Thirion, A. Kleinschmidt, 2010, NeuroImage.

Intra and inter subject analyses of brain functional Magnetic Resonance Images (fMRI)

Jean-Baptiste Poline, Bertrand Thirion, Alexis Roche, 2015 .

Random Forests based feature selection for decoding fMRI data

Bertrand Thirion, Robin Genuer, Vincent Michel, 2010 .

A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension

Binh Duc Nguyen, B. Thirion, Sylvain Arlot, 2022, NeurIPS.

Approximate message-passing for convex optimization with non-separable penalties pdf

Florent Krzakala, Lenka Zdeborová, Gaël Varoquaux, 2018, ArXiv.

Controlling a confound in predictive models with a test set minimizing its effect

Gaël Varoquaux, Bertrand Thirion, Michael P. Milham, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging

Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, 2017, IPMI.