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Machine learning in resting-state fMRI analysis
Machine learning techniques have gained prominence for the analysis of resting-state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview of various unsupervised and supervised machine learning applications to rs-fMRI. We offer a methodical taxonomy of machine learning...
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| Publicat a: | Magn Reson Imaging |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6875692/ https://ncbi.nlm.nih.gov/pubmed/31173849 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.05.031 |
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