Deep learning reconstruction of diffusion-weighted imaging with single-shot echo-planar imaging in endometrial cancer: a comparison with multi-shot echo-planar imaging.
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| Title: | Deep learning reconstruction of diffusion-weighted imaging with single-shot echo-planar imaging in endometrial cancer: a comparison with multi-shot echo-planar imaging. |
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| Authors: | Heo T; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Lee NK; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea. leenk77@hanmail.net., Kim S; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Hong SB; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Suh DS; Department of Obstetrics and Gynecology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Kim JY; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Lee JW; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Kim TU; Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea. |
| Source: | Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Nov; Vol. 50 (11), pp. 5446-5456. Date of Electronic Publication: 2025 Apr 18. |
| Publication Type: | Journal Article; Comparative Study; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2366-0058 |
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| DOI: | 10.1007/s00261-025-04955-3 |
