186 citations · 422 across the 14 of their papers we have counts for
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stat.AP2010★ 4 cited
ICA-based sparse feature recovery from fMRI datasets
Gaël Varoquaux, Merlin Keller, Jean Baptiste Poline +2
Spatial Independent Components Analysis (ICA) is increasingly used in the context of functional Magnetic Resonance Imaging (fMRI) to study cognition and brain pathologies. Salient…
stat.AP2010★ 186 cited
A group model for stable multi-subject ICA on fMRI datasets
G. Varoquaux, S. Sadaghiani, P. Pinel +3
Spatial Independent Component Analysis (ICA) is an increasingly used data-driven method to analyze functional Magnetic Resonance Imaging (fMRI) data. To date, it has been used to e…