Influence of coronary stenosis location on diagnostic performance of machine learning-based fractional flow reserve from CT angiography-Reference-Cited by-同舟云学术

Influence of coronary stenosis location on diagnostic performance of machine learning-based fractional flow reserve from CT angiography

Published:2021-11 Issue:6 Volume:15 Page:492-498
ISSN:1934-5925
Container-title:Journal of Cardiovascular Computed Tomography
language:en
Short-container-title:Journal of Cardiovascular Computed Tomography

Author:

Renker Matthias^ORCID,Baumann Stefan,Hamm Christian W.,Tesche Christian^ORCID,Kim Won-Keun,Savage Rock H.,Coenen Adriaan,Nieman Koen,De Geer Jakob,Persson Anders,Kruk Mariusz,Kepka Cezary,Yang Dong Hyun,Schoepf U. Joseph^ORCID

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference21 articles.

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3. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: next Steps);Norgaard;J Am Coll Cardiol,2014

4. Fractional flow reserve computed from noninvasive CT angiography data: diagnostic performance of an on-site clinician-operated computational fluid dynamics algorithm;Coenen;Radiology,2015

5. Comparison of diagnostic value of a novel noninvasive coronary computed tomography angiography method versus standard coronary angiography for assessing fractional flow reserve;Renker;Am J Cardiol,2014

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