Bertrand Thirion

According to our database1, Bertrand Thirion authored at least 166 papers between 2000 and 2021.

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Bibliography

2021
Functional annotation of human cognitive states using deep graph convolution.
NeuroImage, 2021

Brain topography beyond parcellations: Local gradients of functional maps.
NeuroImage, 2021

Decoding with confidence: Statistical control on decoder maps.
NeuroImage, 2021

Functional Magnetic Resonance Imaging data augmentation through conditional ICA.
CoRR, 2021

Adaptive Multi-View ICA: Estimation of noise levels for optimal inference.
CoRR, 2021

2020
Inference and Prediction Diverge in Biomedicine.
Patterns, 2020

Multi-subject MEG/EEG source imaging with sparse multi-task regression.
NeuroImage, 2020

Fine-grain atlases of functional modes for fMRI analysis.
NeuroImage, 2020

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso.
CoRR, 2020

Modeling Shared responses in Neuroimaging Studies through MultiView ICA.
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

Aggregation of Multiple Knockoffs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multivariate Analysis is Sufficient for Lesion-Behaviour Mapping.
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

The functional database of the ARCHI project: Potential and perspectives.
NeuroImage, 2019

Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach.
NeuroImage, 2019

Benchmarking functional connectome-based predictive models for resting-state fMRI.
NeuroImage, 2019

Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation.
Medical Image Anal., 2019

PyBIDS: Python tools for BIDS datasets.
J. Open Source Softw., 2019

Fast shared response model for fMRI data.
CoRR, 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

Local Optimal Transport for Functional Brain Template Estimation.
Proceedings of the Information Processing in Medical Imaging, 2019

Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Stochastic Subsampling for Factorizing Huge Matrices.
IEEE Trans. Signal Process., 2018

Atlases of cognition with large-scale human brain mapping.
PLoS Comput. Biol., 2018

Decoding fMRI activity in the time domain improves classification performance.
NeuroImage, 2018

FReM - Scalable and stable decoding with fast regularized ensemble of models.
NeuroImage, 2018

Approximate message-passing for convex optimization with non-separable penalties.
CoRR, 2018

Extracting Universal Representations of Cognition across Brain-Imaging Studies.
CoRR, 2018

Optimizing deep video representation to match brain activity.
CoRR, 2018

Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data.
CoRR, 2018

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

Statistical Inference with Ensemble of Clustered Desparsified Lasso.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.
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

Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals.
ERCIM News, 2017

Convolutional Network Layers Map the Function of the Human Visual Cortex.
ERCIM News, 2017

Multi-output predictions from neuroimaging: assessing reduced-rank linear models.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Towards a faster randomized parcellation based inference.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Learning Neural Representations of Human Cognition across Many fMRI Studies.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity.
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
Transport on Riemannian Manifold for Connectivity-Based Brain Decoding.
IEEE Trans. Medical Imaging, 2016

Formal Models of the Network Co-occurrence Underlying Mental Operations.
PLoS Comput. Biol., 2016

Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction.
IEEE J. Sel. Top. Signal Process., 2016

Compressed Online Dictionary Learning for Fast fMRI Decomposition.
CoRR, 2016

Social-sparsity brain decoders: faster spatial sparsity.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Fast brain decoding with random sampling and random projections.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Comparing functional connectivity based predictive models across datasets.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Learning brain regions via large-scale online structured sparse dictionary learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Compressed online dictionary learning for fast resting-state fMRI decomposition.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Dictionary Learning for Massive Matrix Factorization.
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
Data-driven HRF estimation for encoding and decoding models.
NeuroImage, 2015

Robust regression for large-scale neuroimaging studies.
NeuroImage, 2015

FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging.
CoRR, 2015

Fast clustering for scalable statistical analysis on structured images.
CoRR, 2015

Improving Sparse Recovery on Structured Images with Bagged Clustering.
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

Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data.
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
Randomized parcellation based inference.
NeuroImage, 2014

Interoperable atlases of the human brain.
NeuroImage, 2014

Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud.
Frontiers Neuroinformatics, 2014

Machine learning for neuroimaging with scikit-learn.
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

Principal Component Regression Predicts Functional Responses across Individuals.
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

Transport on Riemannian Manifold for Functional Connectivity-Based Classification.
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, 2014

2013
A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.
IEEE Trans. Medical Imaging, 2013

Mapping cognitive ontologies to and from the brain.
CoRR, 2013

A Comparison of Metrics and Algorithms for Fiber Clustering.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Identifying Predictive Regions from fMRI with TV-L1 Prior.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Robust Group-Level Inference in Neuroimaging Genetic Studies.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Mapping paradigm ontologies to and from the brain.
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

Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons.
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

Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations.
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
Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity.
SIAM J. Imaging Sci., 2012

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

On Spatial Selectivity and Prediction across Conditions with fMRI.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Improved Brain Pattern Recovery through Ranking Approaches.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Connectivity-informed Sparse Classifiers for fMRI Brain Decoding.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Decoding Visual Percepts Induced by Word Reading with fMRI.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Graph-Based Inter-subject Classification of Local fMRI Patterns.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Learning to Rank from Medical Imaging Data.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets.
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
Total Variation Regularization for fMRI-Based Prediction of Behavior.
IEEE Trans. Medical Imaging, 2011

Robust clustering of massive tractography datasets.
NeuroImage, 2011

Phase delays within visual cortex shape the response to steady-state visual stimulation.
NeuroImage, 2011

Scikit-learn: Machine Learning in Python.
J. Mach. Learn. Res., 2011

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction.
Int. J. Biomed. Imaging, 2011

Total variation regularization for fMRI-based prediction of behaviour
CoRR, 2011

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Statistical Learning for Resting-State fMRI: Successes and Challenges.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

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

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Connectivity-Informed fMRI Activation Detection.
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

Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity.
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
A group model for stable multi-subject ICA on fMRI datasets.
NeuroImage, 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

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

ICA-based sparse features recovery from FMRI datasets.
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

Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges.
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

Discriminative Network Models of Schizophrenia.
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

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

Triangulating cortical functional networks with anatomical landmarks.
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

High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models.
Proceedings of the Information Processing in Medical Imaging, 2007

2006
Detection of signal synchronizations in resting-state fMRI datasets.
NeuroImage, 2006

Inverse retinotopy: Inferring the visual content of images from brain activation patterns.
NeuroImage, 2006

Reading the brain visual system as an inverse problem.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Robust statistics for nonparametric group analysis in fMRI.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Anatomo-Functional Description of the Brain : A Probabilistic Approach.
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
Feature characterization in fMRI data: the Information Bottleneck approach.
Medical Image Anal., 2004

Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach.
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

Dynamical components analysis of fMRI data through kernel PCA.
NeuroImage, 2003

Feature Detection in fMRI Data: The Information Bottleneck Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Dynamical Components Analysis of FMRI Data: A Second Order Solution.
Proceedings of the Computer Aided Systems Theory, 2003

2002
Dynamical components analysis of fMRI data.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2000
Fusion of Color, Shading and Boundary Information for Factory Pipe Segmentation.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000


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