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Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

The application of deep learning (DL) models to neuroimaging data poses several challenges, due to the high dimensionality, low sample size, and complex temporo-spatial dependency structure of these data. Even further, DL models often act as black boxes, impeding insight into the association of cogn...

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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Thomas, Armin W., Heekeren, Hauke R., Müller, Klaus-Robert, Samek, Wojciech
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6914836/
https://ncbi.nlm.nih.gov/pubmed/31920491
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.01321
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