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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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| 出版年: | Magn Reson Imaging |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | 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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