| 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 | 32321 | 2011 |
| 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 | 556 | 2014 |
| Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses B Thirion, P Pinel, S Mériaux, A Roche, S Dehaene, JB Poline Neuroimage 35 (1), 105-120, 2007 | 494 | 2007 |
| Recruitment of an area involved in eye movements during mental arithmetic A Knops, B Thirion, EM Hubbard, V Michel, S Dehaene Science 324 (5934), 1583-1585, 2009 | 427 | 2009 |
| An automatic valuation system in the human brain: evidence from functional neuroimaging M Lebreton, S Jorge, V Michel, B Thirion, M Pessiglione Neuron 64 (3), 431-439, 2009 | 387 | 2009 |
| Best practices in data analysis and sharing in neuroimaging using MRI TE Nichols, S Das, SB Eickhoff, AC Evans, T Glatard, M Hanke, ... Nature neuroscience 20 (3), 299-303, 2017 | 322 | 2017 |
| 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 | 306 | 2006 |
| Assessing and tuning brain decoders: cross-validation, caveats, and guidelines G Varoquaux, PR Raamana, DA Engemann, A Hoyos-Idrobo, Y Schwartz, ... NeuroImage 145, 166-179, 2017 | 272 | 2017 |
| 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 | 263 | 2017 |
| Which fMRI clustering gives good brain parcellations? B Thirion, G Varoquaux, E Dohmatob, JB Poline Frontiers in neuroscience 8, 167, 2014 | 260 | 2014 |
| Brain covariance selection: better individual functional connectivity models using population prior G Varoquaux, A Gramfort, JB Poline, B Thirion Advances in neural information processing systems, 2334-2342, 2010 | 242 | 2010 |
| Dealing with the shortcomings of spatial normalization: Multi‐subject parcellation of fMRI datasets B Thirion, G Flandin, P Pinel, A Roche, P Ciuciu, JB Poline Human brain mapping 27 (8), 678-693, 2006 | 220 | 2006 |
| Deciphering cortical number coding from human brain activity patterns E Eger, V Michel, B Thirion, A Amadon, S Dehaene, A Kleinschmidt Current Biology 19 (19), 1608-1615, 2009 | 203 | 2009 |
| Connectivity‐based parcellation: Critique and implications SB Eickhoff, B Thirion, G Varoquaux, D Bzdok Human brain mapping 36 (12), 4771-4792, 2015 | 194 | 2015 |
| duchesnay E F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ... Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res 12, 2825-2830, 2010 | 184 | 2010 |
| Multi-subject dictionary learning to segment an atlas of brain spontaneous activity G Varoquaux, A Gramfort, F Pedregosa, V Michel, B Thirion Biennial International Conference on information processing in medical …, 2011 | 159 | 2011 |
| Total variation regularization for fMRI-based prediction of behavior V Michel, A Gramfort, G Varoquaux, E Eger, B Thirion IEEE transactions on medical imaging 30 (7), 1328-1340, 2011 | 156 | 2011 |
| Early maturation of the linguistic dorsal pathway in human infants F Leroy, H Glasel, J Dubois, L Hertz-Pannier, B Thirion, JF Mangin, ... Journal of Neuroscience 31 (4), 1500-1506, 2011 | 155 | 2011 |
| A group model for stable multi-subject ICA on fMRI datasets G Varoquaux, S Sadaghiani, P Pinel, A Kleinschmidt, JB Poline, B Thirion Neuroimage 51 (1), 288-299, 2010 | 150 | 2010 |
| Seeing it all: Convolutional network layers map the function of the human visual system M Eickenberg, A Gramfort, G Varoquaux, B Thirion NeuroImage 152, 184-194, 2017 | 138 | 2017 |
