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Deep learning for synthetic contrast-enhanced CT and MRI: a scoping review.

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Title: Deep learning for synthetic contrast-enhanced CT and MRI: a scoping review.
Authors: Jo GD; Department of Oral and Maxillofacial Radiology, College of Dentistry, Yonsei University, Seoul, Republic of Korea., Choi YJ; Department of Oral and Maxillofacial Radiology, College of Dentistry, Yonsei University, Seoul, Republic of Korea., Lee C; Department of Oral and Maxillofacial Radiology, College of Dentistry, Yonsei University, Seoul, Republic of Korea.; Oral Science Research Center, College of Dentistry, Yonsei University, Seoul, Republic of Korea., Jeon KJ; Department of Oral and Maxillofacial Radiology, College of Dentistry, Yonsei University, Seoul, Republic of Korea.; Oral Science Research Center, College of Dentistry, Yonsei University, Seoul, Republic of Korea., Han SS; Department of Oral and Maxillofacial Radiology, College of Dentistry, Yonsei University, Seoul, Republic of Korea. SSHAN@yuhs.ac.; Oral Science Research Center, College of Dentistry, Yonsei University, Seoul, Republic of Korea. SSHAN@yuhs.ac.
Source: European radiology [Eur Radiol] 2026 Apr 23. Date of Electronic Publication: 2026 Apr 23.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1084
DOI:10.1007/s00330-026-12548-x