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Alexandre Abraham
Researcher at French Institute for Research in Computer Science and Automation
Publications - 23
Citations - 3074
Alexandre Abraham is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Resting state fMRI & Computer science. The author has an hindex of 10, co-authored 20 publications receiving 2058 citations. Previous affiliations of Alexandre Abraham include École Polytechnique & École Normale Supérieure.
Papers
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Journal ArticleDOI
Machine learning for neuroimaging with scikit-learn.
Alexandre Abraham,Alexandre Abraham,Fabian Pedregosa,Fabian Pedregosa,Michael Eickenberg,Michael Eickenberg,Philippe Gervais,Philippe Gervais,Andreas Mueller,Jean Kossaifi,Alexandre Gramfort,Alexandre Gramfort,Alexandre Gramfort,Bertrand Thirion,Bertrand Thirion,Gaël Varoquaux,Gaël Varoquaux +16 more
TL;DR: It is illustrated how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps and its application to neuroimaging data provides a versatile tool to study the brain.
Journal ArticleDOI
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Alexandre Abraham,Michael P. Milham,Adriana Di Martino,R. Cameron Craddock,Dimitris Samaras,Bertrand Thirion,Gaël Varoquaux +6 more
TL;DR: The feasibility of inter‐site classification of neuropsychiatric status, with an application to the Autism Brain Imaging Data Exchange (ABIDE) database, a large (N=871) multi‐site autism dataset is demonstrated.
Journal ArticleDOI
Predicting brain-age from multimodal imaging data captures cognitive impairment
Franziskus Liem,Gaël Varoquaux,Gaël Varoquaux,Jana Kynast,Frauke Beyer,Frauke Beyer,Shahrzad Kharabian Masouleh,Julia M. Huntenburg,Julia M. Huntenburg,Leonie Lampe,Leonie Lampe,Mehdi Rahim,Mehdi Rahim,Alexandre Abraham,Alexandre Abraham,R. Cameron Craddock,R. Cameron Craddock,Steffi G. Riedel-Heller,Tobias Luck,Markus Loeffler,Matthias L. Schroeter,Matthias L. Schroeter,A. V. Witte,A. V. Witte,Arno Villringer,Daniel S. Margulies +25 more
TL;DR: It is found that multimodal data improves brain‐based age prediction, resulting in a mean absolute prediction error of 4.29 years, and the discrepancy between predicted age and chronological age captures cognitive impairment.
Journal ArticleDOI
Benchmarking functional connectome-based predictive models for resting-state fMRI.
Kamalaker Dadi,Mehdi Rahim,Alexandre Abraham,Darya Chyzhyk,Michael P. Milham,Bertrand Thirion,Gaël Varoquaux +6 more
TL;DR: This work systematically study the prediction performances of models in 6 different cohorts and a total of 2000 individuals, encompassing neuro‐degenerative (Alzheimer's, Post‐traumatic stress disorder), neuro‐psychiatric (Schizophrenia, Autism), drug impact (Cannabis use) clinical settings and psychological trait (fluid intelligence).
Posted Content
Machine Learning for Neuroimaging with Scikit-Learn
Alexandre Abraham,Fabian Pedregosa,Michael Eickenberg,Philippe Gervais,Andreas Müller,Jean Kossaifi,Alexandre Gramfort,Bertrand Thirion,Gaël Varoquaux +8 more
TL;DR: Scikit-learn as mentioned in this paper contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.