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Constructing Fine-granularity Functional Brain Network Atlases via Deep Convolutional Autoencoder
State-of-the-art functional brain network reconstruction methods such as independent component analysis (ICA) or sparse coding of whole-brain fMRI data can effectively infer many thousands of volumetric brain network maps from a large number of human brains. However, due to the variability of indivi...
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| Gepubliceerd in: | Med Image Anal |
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| Hoofdauteurs: | , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5654647/ https://ncbi.nlm.nih.gov/pubmed/28843214 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2017.08.005 |
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