| Machine learning for neuroimaging with scikit-learn A Abraham, F Pedregosa, M Eickenberg, P Gervais, A Mueller, J Kossaifi, ... Frontiers in neuroinformatics 8, 14, 2014 | 675 | 2014 |
| Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example A Abraham, MP Milham, A Di Martino, RC Craddock, D Samaras, ... NeuroImage 147, 736-745, 2017 | 297 | 2017 |
| Predicting brain-age from multimodal imaging data captures cognitive impairment F Liem, G Varoquaux, J Kynast, F Beyer, SK Masouleh, JM Huntenburg, ... Neuroimage 148, 179-188, 2017 | 200 | 2017 |
| Offline a/b testing for recommender systems A Gilotte, C Calauzènes, T Nedelec, A Abraham, S Dollé Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 80 | 2018 |
| Benchmarking functional connectome-based predictive models for resting-state fMRI K Dadi, M Rahim, A Abraham, D Chyzhyk, M Milham, B Thirion, ... NeuroImage 192, 115-134, 2019 | 78 | 2019 |
| Extracting brain regions from rest fMRI with total-variation constrained dictionary learning A Abraham, E Dohmatob, B Thirion, D Samaras, G Varoquaux International conference on medical image computing and computer-assisted …, 2013 | 60 | 2013 |
| Integrating multimodal priors in predictive models for the functional characterization of Alzheimer’s disease M Rahim, B Thirion, A Abraham, M Eickenberg, E Dohmatob, C Comtat, ... International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 14 | 2015 |
| Region segmentation for sparse decompositions: better brain parcellations from rest fMRI A Abraham, E Dohmatob, B Thirion, D Samaras, G Varoquaux arXiv preprint arXiv:1412.3925, 2014 | 8 | 2014 |
| Loading and plotting of cortical surface representations in Nilearn J Huntenburg, A Abraham, J Loula, F Liem, K Dadi, G Varoquaux Research Ideas and Outcomes 3, e12342, 2017 | 4 | 2017 |
| Comparing functional connectivity based predictive models across datasets K Dadi, A Abraham, M Rahim, B Thirion, G Varoquaux 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016 | 4 | 2016 |
| Learning functional brain atlases modeling inter-subject variability A Abraham Université Paris-Saclay, 2015 | 2 | 2015 |
| Rebuilding Trust in Active Learning with Actionable Metrics A Abraham, L Dreyfus-Schmidt arXiv preprint arXiv:2012.11365, 2020 | | 2020 |
| Morphology on color images A Abraham | | 2008 |
| Topological Watershed A Abraham | | 2008 |
| Mining resting-state and task-activation fMRI databases: models and software G Varoquaux, Y Schwartz, A Abraham, A Gramfort, B Thirion | | |
Gaël VaroquauxResearch director, INRIAAdresse e-mail validée de normalesup.org
