Normal-resolution vs. super-resolution deep learning reconstruction for diagnosis of functionally significant coronary stenosis using cardiac CT.
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| Title: | Normal-resolution vs. super-resolution deep learning reconstruction for diagnosis of functionally significant coronary stenosis using cardiac CT. |
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| Authors: | Tomizawa N; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan. Electronic address: tomizawa-tky@umin.ac.jp., Fan R; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan., Fujimoto S; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Nozaki YO; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Kawaguchi YO; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Takamura K; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Aikawa T; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Hiki M; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Takahashi N; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Okai I; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Okazaki S; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Minamino T; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan., Kamagata K; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan. |
| Source: | Journal of cardiovascular computed tomography [J Cardiovasc Comput Tomogr] 2026 May-Jun; Vol. 20 (3), pp. 219-225. Date of Electronic Publication: 2026 Feb 18. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 101308347 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-861X (Electronic) Linking ISSN: 1876861X NLM ISO Abbreviation: J Cardiovasc Comput Tomogr Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41714260 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Normal-resolution vs. super-resolution deep learning reconstruction for diagnosis of functionally significant coronary stenosis using cardiac CT. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tomizawa+N%22">Tomizawa N</searchLink>; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan. Electronic address: tomizawa-tky@umin.ac.jp.<br /><searchLink fieldCode="AU" term="%22Fan+R%22">Fan R</searchLink>; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Fujimoto+S%22">Fujimoto S</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Nozaki+YO%22">Nozaki YO</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kawaguchi+YO%22">Kawaguchi YO</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Takamura+K%22">Takamura K</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Aikawa+T%22">Aikawa T</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Hiki+M%22">Hiki M</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Takahashi+N%22">Takahashi N</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Okai+I%22">Okai I</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Okazaki+S%22">Okazaki S</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Minamino+T%22">Minamino T</searchLink>; Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kamagata+K%22">Kamagata K</searchLink>; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101308347%22">Journal of cardiovascular computed tomography</searchLink> [J Cardiovasc Comput Tomogr] 2026 May-Jun; Vol. 20 (3), pp. 219-225. <i>Date of Electronic Publication: </i>2026 Feb 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101308347 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1876-861X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221876861X%22">1876861X </searchLink><i>NLM ISO Abbreviation: </i>J Cardiovasc Comput Tomogr <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41714260 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jcct.2026.01.016 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 219 Titles: – TitleFull: Normal-resolution vs. super-resolution deep learning reconstruction for diagnosis of functionally significant coronary stenosis using cardiac CT. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tomizawa N – PersonEntity: Name: NameFull: Fan R – PersonEntity: Name: NameFull: Fujimoto S – PersonEntity: Name: NameFull: Nozaki YO – PersonEntity: Name: NameFull: Kawaguchi YO – PersonEntity: Name: NameFull: Takamura K – PersonEntity: Name: NameFull: Aikawa T – PersonEntity: Name: NameFull: Hiki M – PersonEntity: Name: NameFull: Takahashi N – PersonEntity: Name: NameFull: Okai I – PersonEntity: Name: NameFull: Okazaki S – PersonEntity: Name: NameFull: Minamino T – PersonEntity: Name: NameFull: Kamagata K IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 May-Jun Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1876-861X Numbering: – Type: volume Value: 20 – Type: issue Value: 3 Titles: – TitleFull: Journal of cardiovascular computed tomography Type: main |
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