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Leveraging deep learning-based kernel conversion for more precise airway quantification on CT.

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Title: Leveraging deep learning-based kernel conversion for more precise airway quantification on CT.
Authors: Choe J; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea., Yun J; Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea., Kim MJ; Department of Radiology, AMIST, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea., Oh YJ; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea., Bae S; Coreline Soft, Co., Ltd., Seoul, Korea., Yu D; Coreline Soft, Co., Ltd., Seoul, Korea., Seo JB; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea., Lee SM; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea. asellion@hanmail.net., Lee HY; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea. hoyunlee96@gmail.com.; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. hoyunlee96@gmail.com.
Source: European radiology [Eur Radiol] 2025 Nov; Vol. 35 (11), pp. 7185-7198. Date of Electronic Publication: 2025 May 22.
Publication Type: Journal Article; Multicenter 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: <searchLink fieldCode="AU" term="%22Choe+J%22">Choe J</searchLink>; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Yun+J%22">Yun J</searchLink>; Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+MJ%22">Kim MJ</searchLink>; Department of Radiology, AMIST, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Oh+YJ%22">Oh YJ</searchLink>; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Bae+S%22">Bae S</searchLink>; Coreline Soft, Co., Ltd., Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Yu+D%22">Yu D</searchLink>; Coreline Soft, Co., Ltd., Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Seo+JB%22">Seo JB</searchLink>; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SM%22">Lee SM</searchLink>; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea. asellion@hanmail.net.<br /><searchLink fieldCode="AU" term="%22Lee+HY%22">Lee HY</searchLink>; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea. hoyunlee96@gmail.com.; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. hoyunlee96@gmail.com.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2025 Nov; Vol. 35 (11), pp. 7185-7198. <i>Date of Electronic Publication: </i>2025 May 22.
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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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              Text: 2025 Nov
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