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Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder
In this paper, we propose a novel framework for ASD diagnosis using structural magnetic resonance imaging (MRI). Our method deals explicitly with the distributional differences of gray matter (GM) and white matter (WM) features extracted from MR images. We project linearly the GM and WM features ont...
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| Vydáno v: | Brain Imaging Behav |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4714957/ https://ncbi.nlm.nih.gov/pubmed/25761828 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11682-015-9360-1 |
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