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Reply to the Letter to the Editor: Deep learning TMJ MRI-reader-level equivalence is a foundation, not a finish line

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dc.contributor.authorJo, Gyu-Dong-
dc.contributor.authorJeon, Kug Jin-
dc.contributor.authorChoi, Yoon Joo-
dc.contributor.authorLee, Chena-
dc.contributor.authorHan, Sang-Sun-
dc.date.accessioned2026-06-10T05:55:40Z-
dc.date.available2026-06-10T05:55:40Z-
dc.date.created2026-06-01-
dc.date.issued2026-05-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/212498-
dc.description.abstract[No abstract available]-
dc.languageEnglish-
dc.publisherSpringer International-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.titleReply to the Letter to the Editor: Deep learning TMJ MRI-reader-level equivalence is a foundation, not a finish line-
dc.typeArticle-
dc.contributor.googleauthorJo, Gyu-Dong-
dc.contributor.googleauthorJeon, Kug Jin-
dc.contributor.googleauthorChoi, Yoon Joo-
dc.contributor.googleauthorLee, Chena-
dc.contributor.googleauthorHan, Sang-Sun-
dc.identifier.doi10.1007/s00330-026-12607-3-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid42089964-
dc.identifier.urlhttps://link.springer.com/article/10.1007/s00330-026-12607-3-
dc.contributor.affiliatedAuthorJo, Gyu-Dong-
dc.contributor.affiliatedAuthorJeon, Kug Jin-
dc.contributor.affiliatedAuthorChoi, Yoon Joo-
dc.contributor.affiliatedAuthorLee, Chena-
dc.contributor.affiliatedAuthorHan, Sang-Sun-
dc.identifier.scopusid2-s2.0-105038159992-
dc.identifier.wosid001758168100001-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, 2026-05-
dc.identifier.rimsid93054-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.type.docTypeLetter; Early Access-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Radiology (영상치의학교실) > 1. Journal Papers
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