Full metadata record

DC Field Value Language
dc.contributor.authorChoi, Kihwan-
dc.date.accessioned2024-01-12T03:41:06Z-
dc.date.available2024-01-12T03:41:06Z-
dc.date.created2022-09-27-
dc.date.issued2022-07-11-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/77150-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleA Comparative Study between Image- and Projection-Domain Self-Supervised Learning for Ultra Low-Dose CBCT-
dc.typeConference-
dc.identifier.doi10.1109/embc48229.2022.9871947-
dc.description.journalClass1-
dc.identifier.bibliographicCitation2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)-
dc.citation.title2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceGlasgow, Scotland, United Kingdom-
dc.citation.conferenceDate2022-07-11-
dc.relation.isPartOf2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)-
Appears in Collections:
KIST Conference Paper > 2022
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE