Kamalaker Dadi
Kamalaker Dadi
Université Paris-Saclay, INRIA, CEA
Verified email at inria.fr
Cited by
Cited by
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
Variability in the analysis of a single neuroimaging dataset by many teams
R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ...
Nature, 1-7, 2020
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
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
Fine-grain atlases of functional modes for fMRI analysis
K Dadi, G Varoquaux, A Machlouzarides-Shalit, KJ Gorgolewski, ...
arXiv preprint arXiv:2003.05405, 2020
Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging
F Liem, K Dadi, DA Engemann, A Gramfort, P Bellec, RC Craddock, ...
bioRxiv, 2020
What’s in a functional brain parcellation?
G Varoquaux, K Dadi, A Mensch
Circadian Rhythms in the Brain-A first step
KR Dadi
HBP Data Descriptor
K Dadi, G Varoquaux, A Machlouzarides-Shalita, KJ Gorgolewskic, ...
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