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.
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Proceedings Article
Semi-supervised factored logistic regression for high-dimensional neuroimaging data
TL;DR: This work proposes to blend representation modelling and task classification into a unified statistical learning problem and shows that this approach yields more accurate and interpretable neural models of psychological tasks in a reference dataset, as well as better generalization to other datasets.
Journal ArticleDOI
Joint prediction of multiple scores captures better individual traits from brain images
TL;DR: The efficiency of multi-output models on two independent resting-state fMRI datasets targeting different brain disorders (Alzheimer's Disease and schizophrenia) are demonstrated and the model with joint prediction generalizes much better to a new cohort: a model learned on one study is more accurately transferred to an independent one.
Posted Content
Small-sample Brain Mapping: Sparse Recovery on Spatially Correlated Designs with Randomization and Clustering
TL;DR: The use of randomization techniques, e.g. bootstrap samples, and clustering of the variables improves the recovery properties of sparse methods and overcome dificulties on functional MRI data using sparse regression models over new variables obtained by clusters of the original variables.
Journal ArticleDOI
Graph-based inter-subject pattern analysis of FMRI data.
TL;DR: A novel classification framework based on group-invariant graphical representations is introduced, allowing to overcome the inter-subject variability present in functional magnetic resonance imaging (fMRI) data and to perform multivariate pattern analysis across subjects.
Posted Content
NeuroQuery: comprehensive meta-analysis of human brain mapping
Jérôme Dockès,Russell A. Poldrack,Romain Primet,Hande Gözükan,Tal Yarkoni,Fabian M. Suchanek,Bertrand Thirion,Gaël Varoquaux +7 more
TL;DR: This work captures the relationships and neural correlates of 7547 neuroscience terms across 13 459 neuroimaging publications and proposes a new paradigm, focusing on prediction rather than inference, that predicts the spatial distribution of neurological observations, given text describing an experiment, cognitive process, or disease.