Bertrand Thirion

Patterns, 2020

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

[BibT_eX]

[DOI]

NeuroImage, 2020

Fine-grain atlases of functional modes for fMRI analysis.

[BibT_eX]

[DOI]

Kamalaker Dadi

Antonia Machlouzarides-Shalit

Krzysztof J. Gorgolewski

Demian Wassermann

Arthur Mensch

NeuroImage, 2020

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

[BibT_eX]

[DOI]

Joseph Salmon

CoRR, 2020

Modeling Shared responses in Neuroimaging Studies through MultiView ICA.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Joseph Salmon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Aggregation of Multiple Knockoffs.

[BibT_eX]

[DOI]

Tuan-Binh Nguyen

Sylvain Arlot

Proceedings of the 37th International Conference on Machine Learning, 2020

Multivariate Analysis is Sufficient for Lesion-Behaviour Mapping.

[BibT_eX]

[DOI]

Lucas Martin

Julie Josse

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.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

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

[BibT_eX]

[DOI]

Philippe Pinel

Baudouin Forgeot d'Arc

NeuroImage, 2019

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

[BibT_eX]

[DOI]

Jessica Dubois

NeuroImage, 2019

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

[BibT_eX]

[DOI]

NeuroImage, 2019

Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation.

[BibT_eX]

[DOI]

Mehdi Rahim

Medical Image Anal., 2019

PyBIDS: Python tools for BIDS datasets.

[BibT_eX]

[DOI]

J. Open Source Softw., 2019

Fast shared response model for fMRI data.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Tuan-Binh Nguyen

Proceedings of the Information Processing in Medical Imaging, 2019

Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Local Optimal Transport for Functional Brain Template Estimation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data.

[BibT_eX]

[DOI]

Sergül Aydöre

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Stochastic Subsampling for Factorizing Huge Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Atlases of cognition with large-scale human brain mapping.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2018

Decoding fMRI activity in the time domain improves classification performance.

[BibT_eX]

[DOI]

João Loula

NeuroImage, 2018

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

[BibT_eX]

[DOI]

NeuroImage, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Extracting Universal Representations of Cognition across Brain-Imaging Studies.

[BibT_eX]

[DOI]

CoRR, 2018

Optimizing deep video representation to match brain activity.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Statistical Inference with Ensemble of Clustered Desparsified Lasso.

[BibT_eX]

[DOI]

Joseph Salmon

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

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

[BibT_eX]

[DOI]

Pradeep Reddy Raamana

NeuroImage, 2017

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

[BibT_eX]

[DOI]

NeuroImage, 2017

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

[BibT_eX]

[DOI]

NeuroImage, 2017

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

[BibT_eX]

[DOI]

NeuroImage, 2017

Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals.

[BibT_eX]

[DOI]

ERCIM News, 2017

Convolutional Network Layers Map the Function of the Human Visual Cortex.

[BibT_eX]

[DOI]

ERCIM News, 2017

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

[BibT_eX]

[DOI]

Mehdi Rahim

Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Towards a faster randomized parcellation based inference.

[BibT_eX]

[DOI]

Andrés Hoyos Idrobo

Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Learning Neural Representations of Human Cognition across Many fMRI Studies.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mehdi Rahim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Transport on Riemannian Manifold for Connectivity-Based Brain Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Formal Models of the Network Co-occurrence Underlying Mental Operations.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2016

Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

Compressed Online Dictionary Learning for Fast fMRI Decomposition.

[BibT_eX]

[DOI]

Arthur Mensch

CoRR, 2016

Social-sparsity brain decoders: faster spatial sparsity.

[BibT_eX]

[DOI]

Matthieu Kowalski

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Fast brain decoding with random sampling and random projections.

[BibT_eX]

[DOI]

Andrés Hoyos Idrobo

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Comparing functional connectivity based predictive models across datasets.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Arthur Mensch

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Dictionary Learning for Massive Matrix Factorization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Data-driven HRF estimation for encoding and decoding models.

[BibT_eX]

[DOI]

NeuroImage, 2015

Robust regression for large-scale neuroimaging studies.

[BibT_eX]

[DOI]

NeuroImage, 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Fast clustering for scalable statistical analysis on structured images.

[BibT_eX]

[DOI]

CoRR, 2015

Improving Sparse Recovery on Structured Images with Bagged Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jessica Dubois

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Randomized parcellation based inference.

[BibT_eX]

[DOI]

NeuroImage, 2014

Interoperable atlases of the human brain.

[BibT_eX]

[DOI]

Mathew Birdsall Abrams

NeuroImage, 2014

Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2014

Machine learning for neuroimaging with scikit-learn.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Elvis Dopgima Dohmatob

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Principal Component Regression Predicts Functional Responses across Individuals.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

[BibT_eX]

[DOI]

Ronald Phlypo

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Transport on Riemannian Manifold for Functional Connectivity-Based Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Fernando Yepes-Calderon

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Mapping cognitive ontologies to and from the brain.

[BibT_eX]

[DOI]

Yannick Schwartz

CoRR, 2013

A Comparison of Metrics and Algorithms for Fiber Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Identifying Predictive Regions from fMRI with TV-L1 Prior.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Robust Group-Level Inference in Neuroimaging Genetic Studies.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Mapping paradigm ontologies to and from the brain.

[BibT_eX]

[DOI]

Yannick Schwartz

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.

[BibT_eX]

[DOI]

Hao Xu

Stéphanie Allassonnière

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons.

[BibT_eX]

[DOI]

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2013

A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2013

2012

Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2012

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

[BibT_eX]

[DOI]

Pattern Recognit., 2012

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

[BibT_eX]

[DOI]

NeuroImage, 2012

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

[BibT_eX]

[DOI]

Sabine Vollstädt-Klein

NeuroImage, 2012

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

[BibT_eX]

[DOI]

NeuroImage, 2012

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

[BibT_eX]

[DOI]

Medical Image Anal., 2012

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

[BibT_eX]

[DOI]

ERCIM News, 2012

On Spatial Selectivity and Prediction across Conditions with fMRI.

[BibT_eX]

[DOI]

Yannick Schwartz

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Improved Brain Pattern Recovery through Ranking Approaches.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Connectivity-informed Sparse Classifiers for fMRI Brain Decoding.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Decoding Visual Percepts Induced by Word Reading with fMRI.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas.

[BibT_eX]

[DOI]

Michael Eickenberg

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Graph-Based Inter-subject Classification of Local fMRI Patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Learning to Rank from Medical Imaging Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Total Variation Regularization for fMRI-Based Prediction of Behavior.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2011

Robust clustering of massive tractography datasets.

[BibT_eX]

[DOI]

NeuroImage, 2011

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

[BibT_eX]

[DOI]

NeuroImage, 2011

Scikit-learn: Machine Learning in Python.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction.

[BibT_eX]

[DOI]

Int. J. Biomed. Imaging, 2011

Total variation regularization for fMRI-based prediction of behaviour

[BibT_eX]

[DOI]

CoRR, 2011

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Statistical Learning for Resting-State fMRI: Successes and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Connectivity-Informed fMRI Activation Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

2010

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

[BibT_eX]

[DOI]

NeuroImage, 2010

Brain covariance selection: better individual functional connectivity models using population prior.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Accurate Definition of Brain Regions Position through the Functional Landmark Approach.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Linda Marrakchi-Kacem

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

ICA-based sparse features recovery from FMRI datasets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Alan Tucholka

Marie-Laure Paillère-Martinot

Proceedings of the 19th International Conference on Computational Statistics, 2010

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

[BibT_eX]

[DOI]

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

[BibT_eX]

[DOI]

CoRR, 2009

Discriminative Network Models of Schizophrenia.

[BibT_eX]

[DOI]

Catherine Martelli

Jean-Luc Martinot

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).

[BibT_eX]

[DOI]

, 2009

2008

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

[BibT_eX]

[DOI]

Philippe Ciuciu

NeuroImage, 2008

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

[BibT_eX]

[DOI]

Int. J. Biomed. Imaging, 2008

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Thomas Vincent

Philippe Ciuciu

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Triangulating cortical functional networks with anatomical landmarks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vincent Michel

Cécilia Damon

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2007

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

[BibT_eX]

[DOI]

NeuroImage, 2007

Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach.

[BibT_eX]

[DOI]

NeuroImage, 2007

High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2007

2006

Detection of signal synchronizations in resting-state fMRI datasets.

[BibT_eX]

[DOI]

Silke Dodel

NeuroImage, 2006

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

[BibT_eX]

[DOI]

NeuroImage, 2006

Reading the brain visual system as an inverse problem.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Robust statistics for nonparametric group analysis in fMRI.

[BibT_eX]

[DOI]

Sébastien Mériaux

Alexis Roche

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Anatomo-Functional Description of the Brain : A Probabilistic Approach.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Philippe Pinel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004

Feature characterization in fMRI data: the Information Bottleneck approach.

[BibT_eX]

[DOI]

Medical Image Anal., 2004

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

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

PhD thesis, 2003

Dynamical components analysis of fMRI data through kernel PCA.

[BibT_eX]

[DOI]

NeuroImage, 2003

Feature Detection in fMRI Data: The Information Bottleneck Approach.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Dynamical Components Analysis of FMRI Data: A Second Order Solution.

[BibT_eX]

[DOI]

Proceedings of the Computer Aided Systems Theory, 2003

2002

Dynamical components analysis of fMRI data.

[BibT_eX]

[DOI]