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Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks
Functional magnetic resonance imaging (fMRI) has helped characterize the pathophysiology of autism spectrum disorders (ASD) and carries promise for producing objective biomarkers for ASD. Recent work has focused on deriving ASD biomarkers from resting-state functional connectivity measures. However,...
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| 出版年: | Mach Learn Med Imaging |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5669262/ https://ncbi.nlm.nih.gov/pubmed/29104967 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-67389-9_42 |
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