B
Bertrand Thirion
Researcher at Université Paris-Saclay
Publications - 334
Citations - 91237
Bertrand Thirion is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Cluster analysis & Cognition. The author has an hindex of 51, co-authored 311 publications receiving 73839 citations. Previous affiliations of Bertrand Thirion include French Institute for Research in Computer Science and Automation & French Institute of Health and Medical Research.
Papers
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Proceedings ArticleDOI
Total Variation Regularization Enhances Regression-Based Brain Activity Prediction
TL;DR: In this paper, the authors proposed to use the l1 norm of the image radient, a.k.a., the Total Variation (TV), as regularization.
Book ChapterDOI
Deriving a multi-subject functional-connectivity atlas to inform connectome estimation.
TL;DR: This work proposes a novel learning scheme for functional connectivity based on sparse Gaussian graphical models that aims at minimizing the bias induced by the regularization used in the estimation, by carefully separating the estimation of the model support from the coefficients.
Journal ArticleDOI
Empirical facts from search for replicable associations between cortical thickness and psychometric variables in healthy adults
Shahrzad Kharabian Masouleh,Simon B. Eickhoff,Somayeh Maleki Balajoo,Eliana Nicolaisen-Sobesky,Bertrand Thirion,Sarah Genon +5 more
TL;DR: In this article , the replicability of associations between a broad range of psychometric variables and cortical thickness in a large cohort of healthy young adults was investigated and it was shown that there is a low likelihood of significant associations and their rare replication across independent samples.
Proceedings ArticleDOI
ICA-based sparse features recovery from fMRI datasets
TL;DR: In this paper, a new ICA-based procedure for extraction of sparse features from fMRI datasets is proposed, which guarantees an exact, possibly conservative, level of specificity in feature detection.
Posted ContentDOI
Deriving robust biomarkers from multi-site resting-state data: An Autism-based example
Alexandre Abraham,Alexandre Abraham,Michael P. Milham,Adriana Di Martino,R. Cameron Craddock,Dimitris Samaras,Bertrand Thirion,Gaël Varoquaux +7 more
TL;DR: The feasibility of inter-site classification of neuropsychiatric status is demonstrated, with an application to the Autism Brain Imaging Data Exchange (ABIDE) database, a large (N=871) multi-site autism dataset.