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 |
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