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Gaël Varoquaux

Showing results (1-10 of 77) with videos related to

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Neuroimage|June 29, 2017
Cross-validation failure: Small sample sizes lead to large error barsGaël Varoquaux
NPJ Digital Medicine|April 13, 2022
Machine learning for medical imaging: methodological failures and recommendations for the futureGaël Varoquaux, Veronika Cheplygina
Gigascience|March 21, 2025
How to select predictive models for decision-making or causal inferenceMatthieu Doutreligne, Gaël Varoquaux
Neuroimage|April 16, 2013
Learning and comparing functional connectomes across subjectsGaël Varoquaux, R Cameron Craddock
Current Opinion in Neurobiology|December 5, 2018
Predictive models avoid excessive reductionism in cognitive neuroimagingGaël Varoquaux, Russell A Poldrack
Educational and Psychological Measurement|May 26, 2018
Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample GeneralizationDanilo Bzdok, Gaël Varoquaux, Bertrand Thirion
Medical Image Analysis|March 24, 2019
Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimationMehdi Rahim, Bertrand Thirion, Gaël Varoquaux
Neuroimage|August 13, 2017
Decoding fMRI activity in the time domain improves classification performanceJoão Loula, Gaël Varoquaux, Bertrand Thirion
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Deriving a multi-subject functional-connectivity atlas to inform connectome estimationRonald Phlypo, Bertrand Thirion, Gaël Varoquaux
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Accurate definition of brain regions position through the functional landmark approachBertrand Thirion, Gaël Varoquaux, Jean-Baptiste Poline
Pageof 8

Showing results (1-10 of 77) with videos related to

Sort By:
Pageof 8
Neuroimage|June 29, 2017
Cross-validation failure: Small sample sizes lead to large error barsGaël Varoquaux
NPJ Digital Medicine|April 13, 2022
Machine learning for medical imaging: methodological failures and recommendations for the futureGaël Varoquaux, Veronika Cheplygina
Gigascience|March 21, 2025
How to select predictive models for decision-making or causal inferenceMatthieu Doutreligne, Gaël Varoquaux
Neuroimage|April 16, 2013
Learning and comparing functional connectomes across subjectsGaël Varoquaux, R Cameron Craddock
Current Opinion in Neurobiology|December 5, 2018
Predictive models avoid excessive reductionism in cognitive neuroimagingGaël Varoquaux, Russell A Poldrack
Educational and Psychological Measurement|May 26, 2018
Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample GeneralizationDanilo Bzdok, Gaël Varoquaux, Bertrand Thirion
Medical Image Analysis|March 24, 2019
Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimationMehdi Rahim, Bertrand Thirion, Gaël Varoquaux
Neuroimage|August 13, 2017
Decoding fMRI activity in the time domain improves classification performanceJoão Loula, Gaël Varoquaux, Bertrand Thirion
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Deriving a multi-subject functional-connectivity atlas to inform connectome estimationRonald Phlypo, Bertrand Thirion, Gaël Varoquaux
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Accurate definition of brain regions position through the functional landmark approachBertrand Thirion, Gaël Varoquaux, Jean-Baptiste Poline
Pageof 8