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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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| Veröffentlicht in: | Neurocomputing |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | 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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