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Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics

In recent years, analyzing task-based fMRI (tfMRI) data has become an essential tool for understanding brain function and networks. However, due to the sheer size of tfMRI data, its intrinsic complex structure, and lack of ground truth of underlying neural activities, modeling tfMRI data is hard and...

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Bibliografski detalji
Izdano u:Neurocomputing
Glavni autori: Makkie, Milad, Huang, Heng, Zhao, Yu, Vasilakos, Athanasios V., Liu, Tianming
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6660166/
https://ncbi.nlm.nih.gov/pubmed/31354187
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neucom.2018.09.066
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