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dc.contributor.authorKishida, Kennethen_US
dc.date.accessioned2012-10-12T15:29:32Z
dc.date.available2012-10-12T15:29:32Z
dc.date.created2012-08-15en_US
dc.date.issued2012-10-12
dc.identifier.urihttp://hdl.handle.net/10919/19024
dc.description.abstractKenneth Kishida, a research scientist at the Virginia Tech Carilion Research Institute, proposes the use of functional Magnetic Resonance Imaging assays for classifying neural subtypes of children with autism spectrum disorders.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.subjectAutism spectrum disordersen_US
dc.titleSearching for quantitative biomarkers of ASD using computational approaches and rapid assessment fMRI
dc.typePresentation
dc.typeConference proceeding
dc.type.dcmitypeText


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