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dc.contributor.authorBao, Shunxing-
dc.contributor.authorParvarthaneni, Prasanna-
dc.contributor.authorHuo, Yuankai-
dc.contributor.authorBarve, Yogesh-
dc.contributor.authorPlassard, Andrew J.-
dc.contributor.authorYao, Yuang-
dc.contributor.authorSun, Hongyang-
dc.contributor.authorLyu, Ilwoo-
dc.contributor.authorZald, David H.-
dc.contributor.authorLandman, Bennett A.-
dc.contributor.authorGokhale, Aniruddha-
dc.date.accessioned2024-03-05T08:50:50Z-
dc.date.available2024-03-05T08:50:50Z-
dc.date.created2024-03-04-
dc.date.issued2018-12-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/120991-
dc.publisherIEEE-
dc.relation.isPartOf2018 IEEE International Conference on Big Data (Big Data)-
dc.relation.isPartOf2018 IEEE International Conference on Big Data (Big Data)-
dc.titleTechnology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation2018 IEEE International Conference on Big Data (Big Data)-
dc.citation.conferenceDate2018-12-10-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceSeattle, WA, USA-
dc.citation.title2018 IEEE International Conference on Big Data (Big Data)-
dc.contributor.affiliatedAuthorLyu, Ilwoo-
dc.description.journalClass1-
dc.description.journalClass1-

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Grad. School of AI
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