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Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification
Brain functional networks (BFNs) constructed from resting-state functional magnetic resonance imaging (rs-fMRI) have been widely applied to the analysis and diagnosis of brain diseases, such as Alzheimer’s disease and its prodrome, namely mild cognitive impairment (MCI). Constructing a meaningful br...
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| Udgivet i: | Pattern Recognit |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6774646/ https://ncbi.nlm.nih.gov/pubmed/31579345 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2019.01.015 |
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