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Review

Noninvasive FFR derived from coronary CT angiography in the management of coronary artery disease: technology and clinical update

Rine NakanishiLos Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, USA

Mathew J BudoffLos Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, USACorrespondence[email protected]

Pages 269-278 | Published online: 22 Jun 2016

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Xiuhua Hu, Minglei Yang, Lu Han & Yujiao Du. (2018) Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR. The International Journal of Cardiovascular Imaging 34:12, pages 1987-1996.
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Noninvasive FFR derived from coronary CT angiography in the management of coronary artery disease: technology and clinical update

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Noninvasive FFR derived from coronary CT angiography in the management of coronary artery disease: technology and clinical update

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