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Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging

Structured sparsity penalization has recently improved statistical models applied to high-dimensional data in various domains. As an extension to medical imaging, the present work incorporates priors on network hierarchies of brain regions into logistic-regression to distinguish neural activity effe...

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Bibliografiske detaljer
Udgivet i:Inf Process Med Imaging
Main Authors: Bzdok, Danilo, Eickenberg, Michael, Varoquaux, Gaël, Thirion, Bertrand
Format: Artigo
Sprog:Inglês
Udgivet: 2017
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5937695/
https://ncbi.nlm.nih.gov/pubmed/29743804
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-59050-9_26
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