Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases-Reference-Cited by-同舟云学术

Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases

Published:2018 Issue: Volume:17 Page:628-641
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Rondina Jane Maryam^ORCID,Ferreira Luiz Kobuti,de Souza Duran Fabio Luis,Kubo Rodrigo,Ono Carla Rachel,Leite Claudia Costa,Smid Jerusa,Nitrini Ricardo,Buchpiguel Carlos Alberto,Busatto Geraldo F.

Funder

São Paulo Research Foundation

CNPq

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging

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