Connection

Rozemarijn Vliegenthart to Coronary Stenosis

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This is a "connection" page, showing publications Rozemarijn Vliegenthart has written about Coronary Stenosis.
Rozemarijn Vliegenthart
Connection Strength
4.122
Coronary Stenosis
  1. Focal pericoronary adipose tissue attenuation is related to plaque presence, plaque type, and stenosis severity in coronary CTA. Eur Radiol. 2021 Oct; 31(10):7251-7261.
    View in: PubMed
    Score: 0.617
  2. Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model. Int J Cardiovasc Imaging. 2017 Nov; 33(11):1821-1830.
    View in: PubMed
    Score: 0.471
  3. Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model using third generation dual-source CT. J Cardiovasc Comput Tomogr. 2017 Mar - Apr; 11(2):141-147.
    View in: PubMed
    Score: 0.462
  4. Development of an Ex Vivo, Beating Heart Model for CT Myocardial Perfusion. Biomed Res Int. 2015; 2015:412716.
    View in: PubMed
    Score: 0.412
  5. Hemodynamic significance of coronary stenosis by vessel attenuation measurement on CT compared with adenosine perfusion MRI. Eur J Radiol. 2015 Jan; 84(1):92-99.
    View in: PubMed
    Score: 0.395
  6. Atherosclerotic plaque burden in cocaine users with acute chest pain: analysis by coronary computed tomography angiography. Atherosclerosis. 2013 Aug; 229(2):443-8.
    View in: PubMed
    Score: 0.359
  7. Diagnostic performance of coronary CT angiography for stenosis detection according to calcium score: systematic review and meta-analysis. Eur Radiol. 2012 Dec; 22(12):2688-98.
    View in: PubMed
    Score: 0.337
  8. FFRCT and QFR: Ready to be used in clinical decision making? J Cardiovasc Comput Tomogr. 2022 Jul-Aug; 16(4):343-344.
    View in: PubMed
    Score: 0.164
  9. Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease. JACC Cardiovasc Imaging. 2022 01; 15(1):75-87.
    View in: PubMed
    Score: 0.159
  10. Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements. Int J Cardiovasc Imaging. 2019 Mar; 35(3):539-547.
    View in: PubMed
    Score: 0.130
  11. Computational quantitative flow ratio to assess functional severity of coronary artery stenosis. Int J Cardiol. 2018 11 15; 271:36-41.
    View in: PubMed
    Score: 0.128
  12. Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve for Therapeutic Decision Making. Am J Cardiol. 2017 Dec 15; 120(12):2121-2127.
    View in: PubMed
    Score: 0.120
  13. Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome. Am J Cardiol. 2017 Oct 15; 120(8):1260-1266.
    View in: PubMed
    Score: 0.119
  14. Non-calcified coronary atherosclerotic plaque visualization on CT: effects of contrast-enhancement and lipid-content fractions. Int J Cardiovasc Imaging. 2013 Jun; 29(5):1137-48.
    View in: PubMed
    Score: 0.087
  15. Impact of coronary calcium score on the prevalence of coronary artery stenosis on dual source CT coronary angiography in caucasian patients with an intermediate risk. Acad Radiol. 2012 Nov; 19(11):1316-23.
    View in: PubMed
    Score: 0.085
  16. Small calcified coronary atherosclerotic plaque simulation model: minimal size and attenuation detectable by 64-MDCT and MicroCT. Int J Cardiovasc Imaging. 2012 Apr; 28(4):843-53.
    View in: PubMed
    Score: 0.077
Connection Strength

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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.