Dynamic Contrast-Enhanced pituitary MRI with higher temporal resolution using deep learning Reconstruction: A feasibility study.

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Bibliographic Details
Title: Dynamic Contrast-Enhanced pituitary MRI with higher temporal resolution using deep learning Reconstruction: A feasibility study.
Authors: Ryoo I; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, the Republic of Korea., Jung HN; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, the Republic of Korea. Electronic address: jhyena@gmail.com., Suh SI; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, the Republic of Korea., Kim B; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, the Republic of Korea., You SH; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, the Republic of Korea., Kim BK; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, the Republic of Korea., Kim E; Philips Korea, Seoul, the Republic of Korea.
Source: European journal of radiology [Eur J Radiol] 2026 Jun 09; Vol. 203, pp. 112994. Date of Electronic Publication: 2026 Jun 09.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 8106411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7727 (Electronic) Linking ISSN: 0720048X NLM ISO Abbreviation: Eur J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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