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Pilot Study: Classification of Parkinson’s Disease Using Resting-State Hemodynamic Signals and Convolutional Neural Network

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dc.contributor.authorKim, Beop-Min-
dc.date.accessioned2021-08-27T18:43:01Z-
dc.date.available2021-08-27T18:43:01Z-
dc.date.created2021-04-22-
dc.date.issued2019-02-20-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/14607-
dc.publisher한국광학회-
dc.titlePilot Study: Classification of Parkinson’s Disease Using Resting-State Hemodynamic Signals and Convolutional Neural Network-
dc.title.alternativePilot Study: Classification of Parkinson’s Disease Using Resting-State Hemodynamic Signals and Convolutional Neural Network-
dc.typeConference-
dc.contributor.affiliatedAuthorKim, Beop-Min-
dc.identifier.bibliographicCitation제30회 한국광학회 정기총회 및 2019년도 동계학술발표회-
dc.relation.isPartOf제30회 한국광학회 정기총회 및 2019년도 동계학술발표회-
dc.relation.isPartOf제30회 한국광학회 정기총회 및 2019년도 동계학술발표회-
dc.citation.title제30회 한국광학회 정기총회 및 2019년도 동계학술발표회-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2019-02-20-
dc.type.rimsCONF-
dc.description.journalClass2-
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