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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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書誌詳細
出版年:Mach Learn Med Imaging
主要な著者: Dvornek, Nicha C., Ventola, Pamela, Pelphrey, Kevin A., Duncan, James S.
フォーマット: Artigo
言語:Inglês
出版事項: 2017
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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