Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation.
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| Title: | Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation. |
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| Authors: | Fu F; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Lin Z; United Imaging Healthcare Co., Ltd., Shanghai, China., Yang X; United Imaging Healthcare Co., Ltd., Shanghai, China., Huang X; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Chen X; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Meng H; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Li B; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. lb10363@rjh.com.cn.; Institute for Medical Imaging Technology, Shanghai, China. lb10363@rjh.com.cn. |
| Source: | European radiology [Eur Radiol] 2026 Jun; Vol. 36 (6), pp. 5169-5181. Date of Electronic Publication: 2026 Jan 31. |
| Publication Type: | Journal Article |
| 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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