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Development and validation of a deep learning-based automatic segmentation and classification of cerebral white matter hyperintensities.

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Title: Development and validation of a deep learning-based automatic segmentation and classification of cerebral white matter hyperintensities.
Authors: Jeong SY; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea., Jung W; R&D Center, VUNO, Seoul, Republic of Korea.; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, US., Suh CH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. chonghyunsuh@amc.seoul.kr., Kim SY; University of Ulsan College of Medicine, Seoul, Republic of Korea., Kim J; R&D Center, VUNO, Seoul, Republic of Korea., Heo H; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Shim WH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Lim JS; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Lee JH; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kim HS; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kim SJ; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Source: European radiology [Eur Radiol] 2026 Jun; Vol. 36 (6), pp. 4812-4823. Date of Electronic Publication: 2025 Dec 15.
Publication Type: Journal Article; Validation Study
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
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  Data: Development and validation of a deep learning-based automatic segmentation and classification of cerebral white matter hyperintensities.
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  Data: <searchLink fieldCode="AU" term="%22Jeong+SY%22">Jeong SY</searchLink>; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+W%22">Jung W</searchLink>; R&D Center, VUNO, Seoul, Republic of Korea.; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, US.<br /><searchLink fieldCode="AU" term="%22Suh+CH%22">Suh CH</searchLink>; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. chonghyunsuh@amc.seoul.kr.<br /><searchLink fieldCode="AU" term="%22Kim+SY%22">Kim SY</searchLink>; University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; R&D Center, VUNO, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Heo+H%22">Heo H</searchLink>; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shim+WH%22">Shim WH</searchLink>; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+JS%22">Lim JS</searchLink>; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+JH%22">Lee JH</searchLink>; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+HS%22">Kim HS</searchLink>; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+SJ%22">Kim SJ</searchLink>; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 Jun; Vol. 36 (6), pp. 4812-4823. <i>Date of Electronic Publication: </i>2025 Dec 15.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-025-12174-z
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      – Code: eng
        Text: English
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        StartPage: 4812
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            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
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