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Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia
Linear independent component analysis (ICA) is a standard signal processing technique that has been extensively used on neuroimaging data to detect brain networks with coherent brain activity (functional MRI) or covarying structural patterns (structural MRI). However, its formulation assumes that th...
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| Izdano u: | IEEE Trans Med Imaging |
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| Glavni autori: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2016
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4965265/ https://ncbi.nlm.nih.gov/pubmed/26891483 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2527717 |
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