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

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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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  Data: Dynamic Contrast-Enhanced pituitary MRI with higher temporal resolution using deep learning Reconstruction: A feasibility study.
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  Data: <searchLink fieldCode="AU" term="%22Ryoo+I%22">Ryoo I</searchLink>; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, the Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+HN%22">Jung HN</searchLink>; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, the Republic of Korea. Electronic address: jhyena@gmail.com.<br /><searchLink fieldCode="AU" term="%22Suh+SI%22">Suh SI</searchLink>; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, the Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+B%22">Kim B</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, the Republic of Korea.<br /><searchLink fieldCode="AU" term="%22You+SH%22">You SH</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, the Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+BK%22">Kim BK</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, the Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+E%22">Kim E</searchLink>; Philips Korea, Seoul, the Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%228106411%22">European journal of radiology</searchLink> [Eur J Radiol] 2026 Jun 09; Vol. 203, pp. 112994. <i>Date of Electronic Publication: </i>2026 Jun 09.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Ireland+Ltd%22">Elsevier Science Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>8106411 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-7727 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220720048X%22">0720048X </searchLink><i>NLM ISO Abbreviation: </i>Eur J Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.ejrad.2026.112994
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      – TitleFull: Dynamic Contrast-Enhanced pituitary MRI with higher temporal resolution using deep learning Reconstruction: A feasibility study.
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              Text: 2026 Jun 09
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