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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
93567
World Ranking
3710
National Ranking
68

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Bertrand Thirion is affiliated with the University of Paris-Saclay in France. Their research primarily spans the fields of Neuroscience and Medicine, with significant contributions to the subfields of Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Statistics and Probability, and Molecular Biology.

The scientist's work covers several main topics, including Functional Brain Connectivity Studies, Neural dynamics and brain function, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Statistical Methods and Inference, EEG and Brain-Computer Interfaces, and Blind Source Separation Techniques.

Bertrand Thirion has published extensively in diverse academic venues. Notable publication sources include:

  • arXiv (Cornell University)
  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Scientific Reports

Frequent collaborators in their research include Gaël Varoquaux, Alexandre Gramfort, Demián Wassermann, Hao-Ting Wang, and Christopher J. Markiewicz.

Selected recent papers reflecting Bertrand Thirion's contributions to the field are:

  • Inference and Prediction Diverge in Biomedicine, 2020, Patterns
  • Functional annotation of human cognitive states using deep graph convolution, 2021, NeuroImage
  • nipy/nibabel: 3.2.1, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • How to remove or control confounds in predictive models, with applications to brain biomarkers, 2022, GigaScience
  • Population modeling with machine learning can enhance measures of mental health, 2021, GigaScience

Best Publications

  • Scikit-learn: Machine Learning in Python

    Fabian Pedregosa;Gaël Varoquaux;Alexandre Gramfort;Vincent Michel

  • Machine learning for neuroimaging with scikit-learn.

    Alexandre Abraham;Alexandre Abraham;Fabian Pedregosa;Fabian Pedregosa;Michael Eickenberg;Michael Eickenberg;Philippe Gervais;Philippe Gervais

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

    Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber

  • Assessing and tuning brain decoders: cross-validation, caveats, and guidelines

    Gaël Varoquaux;Pradeep Reddy Raamana;Denis A. Engemann;Andrés Hoyos-Idrobo

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

    Alexandre Abraham;Michael P. Milham;Adriana Di Martino;R. Cameron Craddock

  • Best practices in data analysis and sharing in neuroimaging using MRI.

    Thomas E Nichols;Samir Das;Samir Das;Simon B Eickhoff;Simon B Eickhoff;Alan C Evans;Alan C Evans

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

    Bertrand Thirion;Philippe Pinel;Sébastien Mériaux;Alexis Roche

  • Scikit-learn: Machine Learning in Python

    Fabian Pedregosa;Gaël Varoquaux;Alexandre Gramfort;Vincent Michel

  • Recruitment of an Area Involved in Eye Movements During Mental Arithmetic

    André Knops;André Knops;André Knops;Bertrand Thirion;Bertrand Thirion;Edward M. Hubbard;Edward M. Hubbard;Edward M. Hubbard;Vincent Michel;Vincent Michel;Vincent Michel

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

    Bertrand Thirion;Edouard Duchesnay;Edward M. Hubbard;Jessica Dubois

  • Which fMRI clustering gives good brain parcellations

    Bertrand Thirion;Gaël Varoquaux;Elvis Dohmatob;Jean-Baptiste Poline;Jean-Baptiste Poline

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

    Michael Eickenberg;Michael Eickenberg;Michael Eickenberg;Alexandre Gramfort;Gaël Varoquaux;Bertrand Thirion;Bertrand Thirion

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

    Kamalaker Dadi;Mehdi Rahim;Alexandre Abraham;Darya Chyzhyk

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

    Gael Varoquaux;Alexandre Gramfort;Jean-baptiste Poline;Bertrand Thirion

  • Connectivity-based parcellation: Critique and implications

    Simon B. Eickhoff;Simon B. Eickhoff;Bertrand Thirion;Gaël Varoquaux;Danilo Bzdok

  • Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling

    Gaël Varoquaux;Flore Baronnet;Andreas Kleinschmidt;Pierre Fillard

  • Deciphering cortical number coding from human brain activity patterns.

    Evelyn Eger;Evelyn Eger;Evelyn Eger;Vincent Michel;Vincent Michel;Vincent Michel;Bertrand Thirion;Bertrand Thirion;Alexi S. Amadon

  • Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.

    Bertrand Thirion;Guillaume Flandin;Philippe Pinel;Alexis Roche

  • Machine Learning for Neuroimaging with Scikit-Learn

    Alexandre Abraham;Fabian Pedregosa;Michael Eickenberg;Philippe Gervais

  • Multi-subject dictionary learning to segment an atlas of brain spontaneous activity

    Gael Varoquaux;Alexandre Gramfort;Fabian Pedregosa;Vincent Michel

  • Which fMRI clustering gives good brain parcellations

    Bertrand Thirion;Gael Varoquaux;Elvis Dohmatob;Jean-Baptiste Poline

Frequent Co-Authors

Gaël Varoquaux
Gaël Varoquaux French Institute for Research in Computer Science and Automation - INRIA
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Danilo Bzdok
Danilo Bzdok Montreal Neurological Institute and Hospital
Stanislas Dehaene
Stanislas Dehaene Collège de France
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Russell A. Poldrack
Russell A. Poldrack Stanford University
Philippe Ciuciu
Philippe Ciuciu French Institute for Research in Computer Science and Automation - INRIA
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA
Tomáš Paus
Tomáš Paus University of Toronto

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