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 par...

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Detalles Bibliográficos
Autores principales: Plis, Sergey M., Hjelm, Devon R., Salakhutdinov, Ruslan, Allen, Elena A., Bockholt, Henry J., Long, Jeffrey D., Johnson, Hans J., Paulsen, Jane S., Turner, Jessica A., Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138493/
https://www.ncbi.nlm.nih.gov/pubmed/25191215
http://dx.doi.org/10.3389/fnins.2014.00229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138493/
https://www.ncbi.nlm.nih.gov/pubmed/25191215
http://dx.doi.org/10.3389/fnins.2014.00229

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