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PDF58
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Dec 28, 2023 (publication date) through Jan 10, 2025
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World Journal of Radiology
ISSN
1949-8470
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef
For: Takayama Y, Sato K, Tanaka S, Murayama R, Goto N, Yoshimitsu K. Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas. World J Radiol 2023; 15(12): 338-349 [PMID: 38179202 DOI: 10.4329/wjr.v15.i12.338]
URL: https://www.wjgnet.com/1949-8470/full/v15/i12/338.htm
Number Citing Articles
1
Yukihisa Takayama, Keisuke Sato, Shinji Tanaka, Ryo Murayama, Ryotaro Jingu, Kengo Yoshimitsu. Effectiveness of deep learning-based reconstruction for improvement of image quality and liver tumor detectability in the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging. Abdominal Radiology 2024; 49(10): 3450 doi: 10.1007/s00261-024-04374-w
2
Jian-She Yang, Qiang Wang, Zhong-Wei Lv. Artificial intelligence for disease diagnostics still has a long way to go. World Journal of Radiology 2024; 16(3): 69-71 doi: 10.4329/wjr.v16.i3.69
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