Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

Recent critical commentaries unfavorably compare deep learning (DL) with standard machine learning (SML) for brain imaging data analysis. Here, the authors show that if trained following prevalent DL practices, DL methods substantially improve compared to SML methods by encoding robust discriminativ...

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Autores principales:	Anees Abrol, Zening Fu, Mustafa Salman, Rogers Silva, Yuhui Du, Sergey Plis, Vince Calhoun
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/74864ec0c1ad472e9740114321893ecf
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spelling	oai:doaj.org-article:74864ec0c1ad472e9740114321893ecf2021-12-02T14:11:45ZDeep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning10.1038/s41467-020-20655-62041-1723https://doaj.org/article/74864ec0c1ad472e9740114321893ecf2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20655-6https://doaj.org/toc/2041-1723Recent critical commentaries unfavorably compare deep learning (DL) with standard machine learning (SML) for brain imaging data analysis. Here, the authors show that if trained following prevalent DL practices, DL methods substantially improve compared to SML methods by encoding robust discriminative brain representations.Anees AbrolZening FuMustafa SalmanRogers SilvaYuhui DuSergey PlisVince CalhounNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Anees Abrol Zening Fu Mustafa Salman Rogers Silva Yuhui Du Sergey Plis Vince Calhoun Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
description	Recent critical commentaries unfavorably compare deep learning (DL) with standard machine learning (SML) for brain imaging data analysis. Here, the authors show that if trained following prevalent DL practices, DL methods substantially improve compared to SML methods by encoding robust discriminative brain representations.
format	article
author	Anees Abrol Zening Fu Mustafa Salman Rogers Silva Yuhui Du Sergey Plis Vince Calhoun
author_facet	Anees Abrol Zening Fu Mustafa Salman Rogers Silva Yuhui Du Sergey Plis Vince Calhoun
author_sort	Anees Abrol
title	Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
title_short	Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
title_full	Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
title_fullStr	Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
title_full_unstemmed	Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
title_sort	deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/74864ec0c1ad472e9740114321893ecf
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Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

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