Deep learning for neuroimaging: a validation study

Deep learning for neuroimaging: a validation study

Deep learning methods have recently made notable advances in the tasks of classification and representation learning. These tasks are important for brain imaging and neuroscience discovery, making the methods attractive for porting to a neuroimager's toolbox. Success of these methods is, in pa...

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Bibliographic Details
Main Authors: Sergey M Plis, Devon eHjelm, Ruslan eSalakhutdinov, Elena A Allen, Henry Jeremy Bockholt, Jeffrey D Long, Hans J Johnson, Jane ePaulsen, Jessica A Turner, Vince D Calhoun
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-08-01
Series:Frontiers in Neuroscience
Subjects:
Classification
Huntington Disease
fMRI
MRI
unsupervised learning
representation learning
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00229/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00229/full

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