Editorial for "Deep Learning-Based Acceleration of Compressed Sensing Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease"
- PMID: 36807692
- DOI: 10.1002/jmri.28654
Editorial for "Deep Learning-Based Acceleration of Compressed Sensing Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease"
Comment on
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Deep Learning-Based Acceleration of Compressed Sensing for Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease.J Magn Reson Imaging. 2023 Nov;58(5):1521-1530. doi: 10.1002/jmri.28653. Epub 2023 Feb 27. J Magn Reson Imaging. 2023. PMID: 36847756
References
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- Hoffmann U, Truong QA, Schoenfeld DA, et al. Coronary CT angiography versus standard evaluation in acute chest pain. N Engl J Med 2012;367(4):299-308.
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- Investigators TS-H. Coronary CT angiography and 5-year risk of myocardial infarction. N Engl J Med 2018;379(10):924-933.
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- Douglas PS, De Bruyne B, Pontone G, et al. 1-year outcomes of FFRCT-guided care in patients with suspected coronary disease: The PLATFORM study. J Am Coll Cardiol 2016;68(5):435-445.
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- Hajhosseiny R, Bustin A, Munoz C, et al. Coronary magnetic resonance angiography: Technical innovations leading us to the promised land? JACC Cardiovasc Imaging 2020;13(12):2653-2672.
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