BPG is committed to discovery and dissemination of knowledge
Articles Published Processes Featured Articles Journals Submit a Manuscript
Cited by in CrossRef
For: Wang H, Schmieder A, Watkins M, Wang P, Mitchell J, Qamer SZ, Lanza G. Artificial intelligence-assisted compressed sensing CINE enhances the workflow of cardiac magnetic resonance in challenging patients. World J Cardiol 2025; 17(7): 108745 [PMID: 40741013 DOI: 10.4330/wjc.v17.i7.108745]
URL: https://www.wjgnet.com/1949-8462/full/v17/i7/108745.htm
(56) (45) (0) (0) (5) (1630) (3)
Number Citing Articles
1
Jadranka Stojanovska, Mahesh B. Keerthivasan, Samantha Platt, Kana Fujikura. Cardiac Magnetic Resonance Scan Efficiency. Magnetic Resonance Imaging Clinics of North America 2026; 34(2) doi: 10.1016/j.mric.2026.01.002
2
Sadegh Dehghani, Ali Rajabi, Amirhossein Rahmati, Negar Omidi. Optimizing Cine Cardiac MRI: Technical Advances and Clinical Applications. Journal of Magnetic Resonance Imaging 2026; 64(1) doi: 10.1002/jmri.70310
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.