Bertrand Thirion

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

Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets

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

A Comparison of Metrics and Algorithms for Fiber Clustering

Gaël Varoquaux, Bertrand Thirion, Viviana Siless, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

New Results - Surface-based fMRI data analyzes improvement

Bertrand Thirion, Alan Tucholka, Virgile Fritsch, 2010 .

Compressed Online Dictionary Learning for Fast fMRI Decomposition pdf

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

Multi‐scale network regression for brain‐phenotype associations

Danielle S Bassett, Danilo Bzdok, Bertrand Thirion, 2020, Human brain mapping.

Formal Models of the Network Co-occurrence Underlying Mental Operations

Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, 2016, PLoS Comput. Biol..

An empirical evaluation of functional alignment using inter-subject decoding

Bertrand Thirion, Thomas Bazeille, Jean-Baptiste Poline, 2020, NeuroImage.

New Results - Identifying predictive regions from fMRI with TV-ℓ1 prior

Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, 2013 .

Data-driven HRF estimation for encoding and decoding models

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

Local Optimal Transport for Functional Brain Template Estimation

Bertrand Thirion, Hicham Janati, Thomas Bazeille, 2019, IPMI.

A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain

Bertrand Thirion, Gabriel Antoniu, Alexandru Costan, 2012, ERCIM News.

Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database

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

Machine learning for neuroimaging with scikit-learn

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2014, Front. Neuroinform..

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

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

New Results - Joint modelling of anatomical and functional features from neuroimaging data

Bertrand Thirion, Alan Tucholka, Pierre Fillard, 2009 .

Random Forests based feature selection for decoding fMRI data

Bertrand Thirion, Robin Genuer, Vincent Michel, 2010 .

Variability in the analysis of a single neuroimaging dataset by many teams

Luca Turella, Brice A. Kuhl, Russell A. Poldrack, 2019, Nature.

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

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

Stochastic Subsampling for Factorizing Huge Matrices

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2017, IEEE Transactions on Signal Processing.

Principal Component Regression Predicts Functional Responses across Individuals

Gaël Varoquaux, Bertrand Thirion, Cyril Poupon, 2014, MICCAI.

Reading the brain visual system as an inverse problem

Jean-Baptiste Poline, Bertrand Thirion, Stanislas Dehaene, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Inter-subject Registration of Functional Images: Do We Need Anatomical Images?

Bertrand Thirion, Gael Varoquaux, Elvis Dohmatob, 2018, Front. Neurosci..

Improving Sensitivity and Reliability of fMRI Group Studies through High Level Combination of Individual Subjects Results

Jean-Baptiste Poline, Bertrand Thirion, Alexis Roche, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Atlases of cognition with large-scale brain mapping

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

Software and Platforms - Nilearn

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2013 .

Comparing functional connectivity based predictive models across datasets

Gaël Varoquaux, Bertrand Thirion, Kamalaker Dadi, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Dictionary Learning for Massive Matrix Factorization pdf

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

Feature characterization in fMRI data: the Information Bottleneck approach

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

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures

Michael Eickenberg, Bertrand Thirion, Mehdi Senoussi, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Functional annotation of human cognitive states using deep graph convolution

Bertrand Thirion, Pierre Bellec, Yu Zhang, 2020, NeuroImage.

Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2011, MLINI.

Which fMRI clustering gives good brain parcellations?

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2014, Front. Neurosci..

On Spatial Selectivity and Prediction across Conditions with fMRI

Gaël Varoquaux, Bertrand Thirion, Yannick Schwartz, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

A supervised clustering approach for extracting predictive information from brain activation images

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

A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation

Jean-Baptiste Poline, Bernard Ng, Gaël Varoquaux, 2013, IPMI.

NeuroQuery, comprehensive meta-analysis of human brain mapping

Fabian M. Suchanek, Bertrand Thirion, Gael Varoquaux, 2020, eLife.

New Results - ICA-based sparse pattern recovery from fMRI

Bertrand Thirion, Gaël Varoquaux, 2010 .

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

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

Towards a faster randomized parcellation based inference

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

Software and Platforms - Nipy

Gaël Varoquaux, Bertrand Thirion, Virgile Fritsch, 2013 .

Statistical Learning for Resting-State fMRI: Successes and Challenges

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

An empirical comparison of surface-based and volume-based group studies in neuroimaging

Bertrand Thirion, Alan Tucholka, Jean-Baptiste Poline, 2012, NeuroImage.

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction

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

Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Statistical Inference with Ensemble of Clustered Desparsified Lasso

Bertrand Thirion, Joseph Salmon, Jérôme-Alexis Chevalier, 2018, MICCAI.

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

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

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

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

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

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

Relating Brain Structures To Open-Ended Descriptions Of Cognition

Fabian M. Suchanek, Gaël Varoquaux, Bertrand Thirion, 2017 .

Dynamical components analysis of fMRI data

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

Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction

Gaël Varoquaux, Bertrand Thirion, Claude Comtat, 2016, IEEE Journal of Selected Topics in Signal Processing.

Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2011, IPMI.

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.

Software - Scikit learn

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2011 .

Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry

Jean-Francois Mangin, Bertrand Thirion, Pamela Guevara, 2012, MICCAI.

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.

A supervised clustering approach for fMRI-based inference of brain states

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2011, Pattern Recognit..

Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization

Jean-Baptiste Poline, Bertrand Thirion, Philippe Pinel, 2005, MICCAI.

Randomized parcellation based inference

Vincent Frouin, Jean-Baptiste Poline, Gaël Varoquaux, 2014, NeuroImage.

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference

Jean-Baptiste Poline, Bernard Ng, Gaël Varoquaux, 2012, MICCAI.

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.

Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data pdf

Gaël Varoquaux, Bertrand Thirion, Sergül Aydöre, 2018, ArXiv.

Multi-subject MEG/EEG source imaging with sparse multi-task regression

Bertrand Thirion, Marco Cuturi, Alexandre Gramfort, 2019, NeuroImage.

Discriminative Network Models of Schizophrenia

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

Fast retinotopic mapping of visual fields using MEG

Bertrand Thirion, Maureen Clerc, Jean Lorenceau, 2008 .

Enhancing functional neuroimaging with meta-analytic approaches Bertrand Thirion

Bertrand Thirion, 2014 .

Structural and probabilistic methods for group analysis in functional neuroimaging. (Méthodes structurales et probabilistes pour l'analyse de groupe en neuroimagerie fonctionnelle)

Bertrand Thirion, B. Thirion, 2009 .

Clustering the infant brain tissues based on microstructural properties and maturation assessment using multi-parametric MRI

Jean-Francois Mangin, Bertrand Thirion, Cyril Poupon, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Software - fMRI toolbox in Brainvisa

Bertrand Thirion, Alan Tucholka, B. Thirion, 2010 .

Feature Detection in fMRI Data: The Information Bottleneck Approach

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

Dynamical Components Analysis of FMRI Data: A Second Order Solution

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

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

Andres Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion, 2017, NeuroImage.

Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2017, ERCIM News.

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections

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

Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses

Hao Xu, Bertrand Thirion, Stéphanie Allassonnière, 2013, MICCAI.

Detection of signal synchronizations in resting-state fMRI datasets

Silke Dodel, Jean-Baptiste Poline, Bertrand Thirion, 2006, NeuroImage.

Convolutional Network Layers Map the Function of the Human Visual Cortex

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2017, ERCIM News.

Human Retinotopic Mapping Using fMRI

Olivier Faugeras, Bertrand Thirion, Eric Castet, 2006 .

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 .

Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations

Vincent Frouin, Jean-Baptiste Poline, Gaël Varoquaux, 2013, MICCAI.

Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI

Bertrand Thirion, Thomas Vincent, Philippe Ciuciu, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis.

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

Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging

Jean-Francois Mangin, Bertrand Thirion, Denis Rivière, 2008, Int. J. Biomed. Imaging.

New Software and Platforms - Nipy

Gaël Varoquaux, Bertrand Thirion, Elvis Dohmatob, 2014 .

Scikit-learn: Machine Learning in Python

Gaël Varoquaux, Bertrand Thirion, Ron Weiss, 2011, J. Mach. Learn. Res..

The functional database of the ARCHI project: Potential and perspectives

Bertrand Thirion, Thomas Bourgeron, Philippe Pinel, 2019, NeuroImage.

fMRI data analysis : statistics, information and dynamics. (Analyse de données d' IRM fonctionnelle : statistiques, information et dynamique)

Bertrand Thirion, 2003 .

Seeing it all: Convolutional network layers map the function of the human visual system

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2017, NeuroImage.

A standardised representation for non-parametric fMRI results

Thomas E. Nichols, Bertrand Thirion, Guillaume Flandin, 2018 .

Robust regression for large-scale neuroimaging studies

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

Inference and Prediction Diverge in Biomedicine

Danilo Bzdok, Bertrand Thirion, Denis Engemann, 2020, Patterns.

Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy

Maxime Descoteaux, Jean-Francois Mangin, Bertrand Thirion, 2010, MICCAI.

A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies

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

Multimodal Connectivity-Based Parcellation of the Brain

Rainer Goebel, Bertrand Thirion, Katrin Amunts, 2016 .

Connectivity-Informed fMRI Activation Detection

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

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

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

Deriving robust biomarkers from multi-site resting-state data: An Autism-based example

Dimitris Samaras, Gaël Varoquaux, Bertrand Thirion, 2016, bioRxiv.

Mapping cognitive ontologies to and from the brain pdf

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

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

Dimitris Samaras, Gaël Varoquaux, Bertrand Thirion, 2016, NeuroImage.

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.

Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling

Gaël Varoquaux, Bertrand Thirion, Andreas Kleinschmidt, 2010, MICCAI.

Machine learning patterns for neuroimaging-genetic studies in the cloud

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

Subsampled online matrix factorization with convergence guarantees

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

Connectivity-informed Sparse Classifiers for fMRI Brain Decoding

Jean-Baptiste Poline, Bernard Ng, Gaël Varoquaux, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

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.

Social-sparsity brain decoders: faster spatial sparsity

Gaël Varoquaux, Bertrand Thirion, Matthieu Kowalski, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2012, ICML.

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

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

Atlases of cognition with large-scale human brain mapping

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

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

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

Surface-based versus volume-based fMRI group analysis: a case study

Jean-Baptiste Poline, Bertrand Thirion, Alexis Roche, 2009 .

Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Euroscipy 2011: Python in Neuroscience workshop

Gaël Varoquaux, Bertrand Thirion, Romain Brette, 2011 .

A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI

Bertrand Thirion, Thomas Vincent, Philippe Ciuciu, 2008, NeuroImage.

Interoperable atlases of the human brain

Noam Harel, Simon B. Eickhoff, Alan C. Evans, 2014, NeuroImage.

Dynamical components analysis of fMRI data through kernel PCA

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

Learning Neural Representations of Human Cognition across Many fMRI Studies

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

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

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

Transport on Riemannian Manifold for Connectivity-Based Brain Decoding

Jean-Baptiste Poline, Bernard Ng, Gaël Varoquaux, 2016, IEEE Transactions on Medical Imaging.

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).

How machine learning is shaping cognitive neuroimaging

Bertrand Thirion, Gael Varoquaux, G. Varoquaux, 2014, GigaScience.

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).

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

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

Variability in the analysis of a single neuroimaging dataset by many teams

Bradley C. Love, Angela R. Laird, Georgios D. Mitsis, 2020, Nature.

Robust clustering of massive tractography datasets

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

Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties

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

Deciphering Cortical Number Coding from Human Brain Activity Patterns

Bertrand Thirion, Alexis Amadon, Stanislas Dehaene, 2009, Current Biology.

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).

Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach

Jean-Francois Mangin, Bertrand Thirion, Lucie Hertz-Pannier, 2019, NeuroImage.

Aggregation of Multiple Knockoffs

Bertrand Thirion, Sylvain Arlot, Tuan-Binh Nguyen, 2020, ICML.

Software and Platforms - Scikit learn

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2013 .

Triangulating cortical functional networks with anatomical landmarks

Jean-Francois Mangin, Jean-Baptiste Poline, Bertrand Thirion, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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

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

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..

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

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

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

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

Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies

Jean-Francois Mangin, Jean-Baptiste Poline, Bertrand Thirion, 2007, IEEE Transactions on Medical Imaging.

Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging

Jean-Francois Mangin, Bertrand Thirion, Denis Rivière, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Probabilistic atlas and geometric variability estimation to drive tissue segmentation

Bertrand Thirion, Stéphanie Allassonnière, Hao Xu, 2014, Statistics in medicine.

New Results - Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2014 .

Fast brain decoding with random sampling and random projections

Andres Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

New Software and Platforms - Scikit learn

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2014 .

Dealing with the shortcomings of spatial normalization: Multi‐subject parcellation of fMRI datasets

Jean-Baptiste Poline, Bertrand Thirion, Guillaume Flandin, 2006, Human brain mapping.

Very large fMRI study using the IMAGEN database: Sensitivity–specificity and population effect modeling in relation to the underlying anatomy

Benjamin Thyreau, Vincent Frouin, Bertrand Thirion, 2012, NeuroImage.

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

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

A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2011, MLINI.

Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity

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

Benchmarking functional connectome-based predictive models for resting-state fMRI

Gaël Varoquaux, Bertrand Thirion, Kamalaker Dadi, 2019, NeuroImage.

Author response: NeuroQuery, comprehensive meta-analysis of human brain mapping

Russell A. Poldrack, Fabian M. Suchanek, Fabian M. Suchanek, 2020 .

Joint prediction of multiple scores captures better individual traits from brain images

Irène Buvat, Danilo Bzdok, Gaël Varoquaux, 2017, NeuroImage.

New Results - Deformable Template estimation for joint anatomical and functional brain images

Hao Xu, Bertrand Thirion, Stéphanie Allassonnière, 2013 .

New Software and Platforms - Nilearn

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2014 .

Inverse retinotopy: Inferring the visual content of images from brain activation patterns

Jean-Baptiste Poline, Bertrand Thirion, Stanislas Dehaene, 2006, NeuroImage.

Best Practices in Data Analysis and Sharing in Neuroimaging using MRI

Simon B. Eickhoff, Russell A. Poldrack, Thomas E. Nichols, 2016 .

Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses

Jean-Baptiste Poline, Bertrand Thirion, Alexis Roche, 2007, 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.

Identifying Predictive Regions from fMRI with TV-L1 Prior

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

Fusion of color, shading and boundary information for factory pipe segmentation

Nassir Navab, Visvanathan Ramesh, Bertrand Thirion, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares

Antonio Moreno, Vincent Frouin, Jean-Baptiste Poline, 2012, NeuroImage.

Decoding Visual Percepts Induced by Word Reading with fMRI

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface

Jean-Baptiste Poline, Bertrand Thirion, Alan Tucholka, 2010, COMPSTAT.

Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction

Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion, 2017, NIPS 2017.

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

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

Mapping paradigm ontologies to and from the brain

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

Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges

Vincent Frouin, Jean-Baptiste Poline, Bertrand Thirion, 2010, COMPSTAT.

Brain topography beyond parcellations: Local gradients of functional maps

Bertrand Thirion, Elvis Dohmatob, Hugo Richard, 2021, NeuroImage.

Shared Independent Component Analysis for Multi-Subject Neuroimaging pdf

Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, 2021, NeurIPS.

Functional annotation of human cognitive states using deep graph convolution

Bertrand Thirion, Loïc Tetrel, Pierre Bellec, 2021, NeuroImage.

Functional Magnetic Resonance Imaging data augmentation through conditional ICA pdf

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

Decoding with confidence: Statistical control on decoder maps

Gaël Varoquaux, Bertrand Thirion, Joseph Salmon, 2021, NeuroImage.

Extracting representations of cognition across neuroimaging studies improves brain decoding

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2018, PLoS Comput. Biol..

Spatially relaxed inference on high-dimensional linear models

Bertrand Thirion, Joseph Salmon, Tuan-Binh Nguyen, 2021, Statistics and Computing.

Schizophrenia as a Network Disease: Disruption of Emergent Brain Function in Patients with Auditory Hallucinations

Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion, 2013, PloS one.

A disconnection account of Gerstmann syndrome: Functional neuroanatomy evidence

Bertrand Thirion, Philippe Pinel, Stanislas Dehaene, 2009, Annals of neurology.

Distinct alterations in Parkinson's medication-state and disease-state connectivity

Bernard Ng, Bertrand Thirion, Michael D. Greicius, 2017, NeuroImage: Clinical.

How machine learning is shaping cognitive

Bertrand Thirion, B. Thirion, 2014 .

Total Variation meets Sparsity: statistical learning with segmenting penalties

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015 .

Early Maturation of the Linguistic Dorsal Pathway in Human Infants

Bertrand Thirion, Lucie Hertz-Pannier, Jessica Dubois, 2011, The Journal of Neuroscience.

Graph-Based Inter-Subject Pattern Analysis of fMRI Data

Bertrand Thirion, Liva Ralaivola, Guillaume Auzias, 2014, PloS one.

Which fMRI clustering gives good brain parcellations?

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2014, Front. Neurosci..

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

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

Shared endo-phenotypes of default mode dysfunction in attention deficit/hyperactivity disorder and autism spectrum disorder

Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion, 2018, Translational Psychiatry.

Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.

Bernard Ng, Bertrand Thirion, Anna-Clare Milazzo, 2016, Cerebral cortex.

IBM Research Report Discriminative Network Models of Schizophrenia

Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion, 2010 .

Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping

Gaël Varoquaux, Bertrand Thirion, Lucie Hertz-Pannier, 2018, Scientific Data.

Perceptual alternations between unbound moving contours and bound shape motion engage a ventral/dorsal interplay.

Bertrand Thirion, Jean Lorenceau, Eric Artiges, 2012, Journal of vision.

Prediction and inference diverge in biomedicine: Simulations and real-world data

Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion, 2018, bioRxiv.

Exploring the Early Organization and Maturation of Linguistic Pathways in the Human Infant Brain.

Bertrand Thirion, Lucie Hertz-Pannier, Cyril Poupon, 2016, Cerebral cortex.

ACCEPTED MANUSCRIPT Very large fMRI study using the IMAGEN database: sensitivity - specificity and population effect modelling in relation to the underlying anatomy

Benjamin Thyreau, Vincent Frouin, Jean-Baptiste Poline, 2012 .

Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample Generalization

Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion, 2017, Educational and psychological measurement.

fMRI data analysis : statistics, information and dynamics

Bertrand Thirion, B. Thirion, 2003 .

Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function

Danielle S Bassett, Danilo Bzdok, Gaël Varoquaux, 2018, Human brain mapping.