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dc.contributor.authorTseng, H.en_US
dc.contributor.authorRosen, B.en_US
dc.contributor.authorChien, J. T.en_US
dc.contributor.authorMierzwa, M.en_US
dc.contributor.authorTen Haken, R.en_US
dc.contributor.authorEl Naqa, I.en_US
dc.date.accessioned2019-08-02T02:15:31Z-
dc.date.available2019-08-02T02:15:31Z-
dc.date.issued2019-06-01en_US
dc.identifier.issn0094-2405en_US
dc.identifier.urihttp://hdl.handle.net/11536/152209-
dc.language.isoen_USen_US
dc.titleA Deep Sequential Learning Architecture for Xerostomia Prediction in Parotid Glands Using CBCT and Rigid-Registered Dose Imagesen_US
dc.typeArticleen_US
dc.identifier.journalMEDICAL PHYSICSen_US
dc.citation.volume46en_US
dc.citation.issue6en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000471277702124en_US
dc.citation.woscount0en_US
顯示於類別:期刊論文