| Scikit-learn: Machine learning in Python F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... the Journal of machine Learning research 12, 2825-2830, 2011 | 101601 | 2011 |
| Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging J Dubois, G Dehaene‐Lambertz, M Perrin, JF Mangin, Y Cointepas, ... Human brain mapping 29 (1), 14-27, 2008 | 446 | 2008 |
| Inverse retinotopy: inferring the visual content of images from brain activation patterns B Thirion, E Duchesnay, E Hubbard, J Dubois, JB Poline, D Lebihan, ... Neuroimage 33 (4), 1104-1116, 2006 | 435 | 2006 |
| A framework to study the cortical folding patterns JF Mangin, D Riviere, A Cachia, E Duchesnay, Y Cointepas, ... Neuroimage 23, S129-S138, 2004 | 349 | 2004 |
| Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations A Cachia, ML Paillère-Martinot, A Galinowski, D Januel, ... Neuroimage 39 (3), 927-935, 2008 | 224 | 2008 |
| Scikit-learn: Machine learning in python journal of machine learning research F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... Journal of machine learning research 12, 2825-2830, 2011 | 212 | 2011 |
| Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega-and meta-analyses across 3033 individuals P Favre, M Pauling, J Stout, F Hozer, S Sarrazin, C Abé, M Alda, C Alloza, ... Neuropsychopharmacology 44 (13), 2285-2293, 2019 | 191 | 2019 |
| Object-based morphometry of the cerebral cortex JF Mangin, D Riviere, A Cachia, E Duchesnay, Y Cointepas, ... IEEE transactions on medical imaging 23 (8), 968-982, 2004 | 180 | 2004 |
| Strategic white matter tracts for processing speed deficits in age-related small vessel disease M Duering, B Gesierich, S Seiler, L Pirpamer, M Gonik, E Hofer, E Jouvent, ... Neurology 82 (22), 1946-1950, 2014 | 166 | 2014 |
| Longitudinal brain metabolic changes from amnestic mild cognitive impairment to Alzheimer's disease M Fouquet, B Desgranges, B Landeau, E Duchesnay, F Mézenge, ... Brain 132 (8), 2058-2067, 2009 | 151 | 2009 |
| A multicenter tractography study of deep white matter tracts in bipolar I disorder: psychotic features and interhemispheric disconnectivity S Sarrazin, C Poupon, J Linke, M Wessa, M Phillips, M Delavest, ... JAMA psychiatry 71 (4), 388-396, 2014 | 139 | 2014 |
| Scikit-learn: Machine learning in Python D Cournapeau, M Brucher, M Perrot, E Duchesnay JMLR 12, 2825-2830, 2007 | 139 | 2007 |
| Using structural MRI to identify bipolar disorders–13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group A Nunes, HG Schnack, CRK Ching, I Agartz, TN Akudjedu, M Alda, ... Molecular psychiatry 25 (9), 2130-2143, 2020 | 132 | 2020 |
| Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares É Le Floch, V Guillemot, V Frouin, P Pinel, C Lalanne, L Trinchera, ... Neuroimage 63 (1), 11-24, 2012 | 132 | 2012 |
| Striatal and extrastriatal dopamine transporter in cannabis and tobacco addiction: A high‐resolution pet study C Leroy, L Karila, JL Martinot, M Lukasiewicz, E Duchesnay, C Comtat, ... Addiction biology 17 (6), 981-990, 2012 | 114 | 2012 |
| What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group CRK Ching, DP Hibar, TP Gurholt, A Nunes, SI Thomopoulos, C Abé, ... Human brain mapping 43 (1), 56-82, 2022 | 111 | 2022 |
| Brain morphometry using 3D moment invariants JF Mangin, F Poupon, É Duchesnay, D Rivière, A Cachia, DL Collins, ... Medical Image Analysis 8 (3), 187-196, 2004 | 98 | 2004 |
| Contrastive learning with continuous proxy meta-data for 3D MRI classification B Dufumier, P Gori, J Victor, A Grigis, M Wessa, P Brambilla, P Favre, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 86 | 2021 |
| Determinants of iron accumulation in the normal aging brain L Pirpamer, E Hofer, B Gesierich, F De Guio, P Freudenberger, S Seiler, ... Neurobiology of aging 43, 149-155, 2016 | 86 | 2016 |
| Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics R Maroy, R Boisgard, C Comtat, V Frouin, P Cathier, E Duchesnay, ... IEEE transactions on medical imaging 27 (3), 342-354, 2008 | 85 | 2008 |
Bertrand ThirionInriaAdresse e-mail validée de inria.fr
