Gaël Varoquaux

发表

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

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

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

Gaël Varoquaux, Bertrand Thirion, Sergül Aydöre, 2019, ICML.

Numerical Instabilities in Analytical Pipelines Lead to Large and Meaningful Variability in Brain Networks

Gaël Varoquaux, Gregory Kiar, Yohan Chatelain, 2020, bioRxiv.

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection

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

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

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2010, NeuroImage.

Predictive models avoid excessive reductionism in cognitive neuroimaging

Gaël Varoquaux, Russell A Poldrack, G. Varoquaux, 2019, Current Opinion in Neurobiology.

Scikit-learn: Machine Learning Without Learning the Machinery

Gilles Louppe, Gaël Varoquaux, Lars Buitinck, 2015, GETMBL.

Extracting Universal Representations of Cognition across Brain-Imaging Studies pdf

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2018, ArXiv.

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

Andres Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion, 2016, NeuroImage.

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

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

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

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2010, NIPS.

Robust Group-Level Inference in Neuroimaging Genetic Studies

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

Agile Computer Control of a Complex Experiment

Gaël Varoquaux, G. Varoquaux, 2008, Computing in Science & Engineering.

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

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

New Results - Which fMRI clustering gives good brain parcellations?

Gaël Varoquaux, Bertrand Thirion, Elvis Dohmatob, 2014 .

Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping

Mathias Pessiglione, Gaël Varoquaux, Bertrand Thirion, 2020, Scientific data.

PyXNAT: XNAT in Python

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

Beyond computational reproducibility, let us aim for reusability

Gaël Varoquaux, 2016 .

Fast clustering for scalable statistical analysis on structured images pdf

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

Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation

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

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).

Publishing scientific software matters

Gaël Varoquaux, Hans Petter Langtangen, Christophe Pradal, 2013, J. Comput. Sci..

Transport on Riemannian Manifold for Functional Connectivity-Based Classification

Jean-Baptiste Poline, Bernard Ng, Gaël Varoquaux, 2014, MICCAI.

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Satrajit S. Ghosh, Thomas E. Nichols, Jean-Baptiste Poline, 2016, Scientific Data.

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12 - July 18, 2021

Gaël Varoquaux, Stefan van der Walt, Jarrod Millman, 2008, SciPy.

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

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

Loading and plotting of cortical surface representations in Nilearn

Julia M. Huntenburg, Gaël Varoquaux, Franziskus Liem, 2017 .

Total Variation Regularization for fMRI-Based Prediction of Behavior

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2011, IEEE Transactions on Medical Imaging.

Neumann networks: differential programming for supervised learning with missing values pdf

Gaël Varoquaux, Julie Josse, Erwan Scornet, 2020, NeurIPS.

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

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

New Results - Randomized parcellation-based inference

Gaël Varoquaux, Bertrand Thirion, Virgile Fritsch, 2013 .

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

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

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

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

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

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

Decoding fMRI activity in the time domain improves classification performance

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

Accurate Definition of Brain Regions Position through the Functional Landmark Approach

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2010, MICCAI.

Improving Sparse Recovery on Structured Images with Bagged Clustering

Andres Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

The Brain Imaging Data Structure, a new format for organizing and describing outputs of neuroimaging experiments

Satrajit S. Ghosh, David B. Keator, Jessica A. Turner, 2016, bioRxiv.

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.

Compressed Online Dictionary Learning for Fast fMRI Decomposition pdf

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

Formal Models of the Network Co-occurrence Underlying Mental Operations

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

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..

The NumPy Array: A Structure for Efficient Numerical Computation

Gaël Varoquaux, Stéfan van der Walt, S. Chris Colbert, 2011, Computing in Science & Engineering.

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.

Atlases of cognition with large-scale brain mapping

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

Learning and comparing functional connectomes across subjects

Gaël Varoquaux, R. Cameron Craddock, G. Varoquaux, 2013, NeuroImage.

Software and Platforms - Nilearn

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2013 .

Mayavi: 3D Visualization of Scientific Data

Gaël Varoquaux, Prabhu Ramachandran, G. Varoquaux, 2010, Computing in Science & Engineering.

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.

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 Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation

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

Learning to Discover Sparse Graphical Models

Matthew B. Blaschko, Gaël Varoquaux, Eugene Belilovsky, 2016, ICML.

BIDS Apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

M. Mallar Chakravarty, Anisha Keshavan, Russell A. Poldrack, 2016 .

Hemodynamic Estimation Based on Consensus Clustering

Gaël Varoquaux, Philippe Ciuciu, Solveig Badillo, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

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

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

Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity

Matthew B. Blaschko, Gaël Varoquaux, Eugene Belilovsky, 2015, NIPS.

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.

Independent consultant pdf

Gilles Louppe, Gaël Varoquaux, Vlad Niculae, 2013 .

Mayavi: a package for 3D visualization of scientific data pdf

Gaël Varoquaux, Prabhu Ramachandran, G. Varoquaux, 2010, ArXiv.

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.

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.

Relating Brain Structures To Open-Ended Descriptions Of Cognition

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

Computational and informatics advances for reproducible data analysis in neuroimaging pdf

Russell A. Poldrack, Gaël Varoquaux, Krzysztof J. Gorgolewski, 2018, ArXiv.

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.

Software - Scikit learn

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2011 .

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

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

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.

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states

Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann, 2019, NeuroImage.

Balázs Kégl, Gaël Varoquaux, Patricio Cerda, 2018, Machine Learning.

Mayavi2: 3D Scientific Data Visualization and Plottin'

Prabhu Ramachandran, Gaël Varoquaux, G. Varoquaux, 2012 .

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.

Convolutional Network Layers Map the Function of the Human Visual Cortex

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

Learning to Discover Probabilistic Graphical Model Structures

Matthew B. Blaschko, Gaël Varoquaux, Eugene Belilovsky, 2016 .

Mayavi: Making 3D Data Visualization Reusable

Prabhu Ramachandran, Gaël Varoquaux, 2008 .

Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations

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

Learning to Discover Graphical Model Structures

Matthew B. Blaschko, Gaël Varoquaux, Eugene Belilovsky, 2016 .

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

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

Cross-validation failure: Small sample sizes lead to large error bars

Gaël Varoquaux, G. Varoquaux, 2017, NeuroImage.

New Software and Platforms - Nipy

Gaël Varoquaux, Bertrand Thirion, Elvis Dohmatob, 2014 .

Group-PCA for very large fMRI datasets

Aapo Hyvärinen, Stephen M. Smith, Gaël Varoquaux, 2014, NeuroImage.

Scikit-learn: Machine Learning in Python

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

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

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

Robust regression for large-scale neuroimaging studies

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

A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies

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

Connectivity-Informed fMRI Activation Detection

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

NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain

Daniel S. Margulies, Satrajit S. Ghosh, Russell A. Poldrack, 2014, bioRxiv.

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.

Convex relaxations of penalties for sparse correlated variables with bounded total variation

Matthew B. Blaschko, Gaël Varoquaux, Andreas Argyriou, 2015, Machine Learning.

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..

Multifractal analysis of Resting State Networks in functional MRI

Gaël Varoquaux, Patrice Abry, Philippe Ciuciu, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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.

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.

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

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

On the consistency of supervised learning with missing values pdf

Gaël Varoquaux, Julie Josse, Erwan Scornet, 2019, ArXiv.

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 .

Learning Neural Representations of Human Cognition across Many fMRI Studies

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

Scikit-Learn: Machine Learning in the Python ecosystem

Gilles Louppe, Gaël Varoquaux, 2013 .

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).

Changing computational research. The challenges ahead

Egon L. Willighagen, Peter Murray-Rust, Gaël Varoquaux, 2012, Source Code for Biology and 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).

Predicting brain-age from multimodal imaging data captures cognitive impairment

Daniel S. Margulies, Julia M. Huntenburg, Leonie Lampe, 2016, NeuroImage.

Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties

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

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Satrajit S. Ghosh, Anisha Keshavan, Mark Jenkinson, 2016, bioRxiv.

Software and Platforms - Scikit learn

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2013 .

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..

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 .

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.

Combining electrophysiology with MRI enhances learning of surrogate-biomarkers

Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann, 2019, bioRxiv.

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

Daniel S. Margulies, Julia M. Huntenburg, Satrajit S. Ghosh, 2011, Front. Neuroinform..

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

Gaël Varoquaux, Alexandre Gramfort, Franziskus Liem, 2020, eLife.

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

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

New Software and Platforms - Nilearn

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2014 .

Nipype 2012: More packages, reusable workflows and reproducible science

Satrajit S. Ghosh, Gaël Varoquaux, Krzysztof J. Gorgolewski, 2012 .

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.

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.

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.

Predictive models can overcome reductionism in cognitive neuroimaging

Russell A. Poldrack, Gaël Varoquaux, G. Varoquaux, 2018 .

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

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

Mapping paradigm ontologies to and from the brain

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

Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective.

Saige Rutherford, Tristan Glatard, Simon B. Eickhoff, 2021, GigaScience.

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..

Total Variation meets Sparsity: statistical learning with segmenting penalties

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015 .

Which fMRI clustering gives good brain parcellations?

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

How to estimate the differential acceleration in a two-species atom interferometer to test the equivalence principle

Gaël Varoquaux, Philippe Bouyer, Arnaud Landragin, 2009, 0910.2412.

Predicting brain-age from multimodal imaging data captures cognitive impairment

Daniel S. Margulies, Julia M. Huntenburg, Leonie Lampe, 2016 .

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.

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

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

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

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

Spatial vs. Temporal Features in ICA of Resting-State fMRI – A Quantitative and Qualitative Investigation in the Context of Response Inhibition

Yufeng Zang, Gaël Varoquaux, Lixia Tian, 2013, PloS one.

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

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

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.