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Artificial Intelligence Based Methods for Autism Spectrum Disorder Diagnosis from fMRI Data

dc.contributor.advisorWu, Fang-Xiang
dc.contributor.advisorLi, Longhai
dc.contributor.committeeMemberChen, Daniel
dc.contributor.committeeMemberBui, Francis
dc.contributor.committeeMemberWahid, Khan
dc.contributor.committeeMemberLee , Roy Ka-Wei
dc.creatorYin, Wutao
dc.date.accessioned2021-12-17T17:20:35Z
dc.date.created2021-12
dc.date.issued2021-12-17
dc.date.submittedDecember 2021
dc.date.updated2021-12-17T17:20:36Z
dc.description.abstract
This item is under an embargo. Access to the abstract will not be permitted until 2024-12-17
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10388/13732
dc.subjectArtificial Intelligence, Autism Spectrum Disorder, Deep Learning, Neural Networks
dc.titleArtificial Intelligence Based Methods for Autism Spectrum Disorder Diagnosis from fMRI Data
dc.typeThesis
dc.type.materialtext
local.embargo.lift2024-12-17
local.embargo.terms2024-12-17
thesis.degree.departmentBiomedical Engineering
thesis.degree.disciplineBiomedical Engineering
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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