Connection

U. Schoepf to United States

This is a "connection" page, showing publications U. Schoepf has written about United States.
Connection Strength

0.390
  1. Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease. J Cardiovasc Comput Tomogr. 2019 May - Jun; 13(3):26-33.
    View in: PubMed
    Score: 0.067
  2. 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: 0.060
  3. Dynamic CT myocardial perfusion imaging identifies early perfusion abnormalities in diabetes and hypertension: Insights from a multicenter registry. J Cardiovasc Comput Tomogr. 2016 Jul-Aug; 10(4):301-8.
    View in: PubMed
    Score: 0.055
  4. Independent association between obstructive sleep apnea and noncalcified coronary plaque demonstrated by noninvasive coronary computed tomography angiography. Clin Cardiol. 2012 Oct; 35(10):641-5.
    View in: PubMed
    Score: 0.043
  5. Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence. Open Heart. 2021 11; 8(2).
    View in: PubMed
    Score: 0.020
  6. Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome. Am J Cardiol. 2019 11 01; 124(9):1340-1348.
    View in: PubMed
    Score: 0.017
  7. Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium. Circ Cardiovasc Imaging. 2018 06; 11(6):e007217.
    View in: PubMed
    Score: 0.016
  8. White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 3: Vascular, Cardiac, Pulmonary, and Musculoskeletal Applications. J Comput Assist Tomogr. 2017 Jan; 41(1):1-7.
    View in: PubMed
    Score: 0.014
  9. Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value. J Cardiovasc Comput Tomogr. 2017 Jan - Feb; 11(1):16-24.
    View in: PubMed
    Score: 0.014
  10. White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 2: Radiation Dose and Iodine Sensitivity. J Comput Assist Tomogr. 2016 Nov/Dec; 40(6):846-850.
    View in: PubMed
    Score: 0.014
  11. White Paper of the Society of Computed Body Tomography and Magnetic Resonance on Dual-Energy CT, Part 1: Technology and Terminology. J Comput Assist Tomogr. 2016 Nov/Dec; 40(6):841-845.
    View in: PubMed
    Score: 0.014
  12. CAD-RADS?: Coronary Artery Disease?-?Reporting and Data System: An?Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Am Coll Radiol. 2016 Dec; 13(12 Pt A):1458-1466.e9.
    View in: PubMed
    Score: 0.014
  13. Computed Tomography-Derived Parameters of Myocardial Morphology and Function in Black and White Patients With Acute Chest Pain. Am J Cardiol. 2016 Feb 01; 117(3):333-9.
    View in: PubMed
    Score: 0.013
  14. Comparison of epicardial fat volume by computed tomography in black versus white patients with acute chest pain. Am J Cardiol. 2014 Feb 01; 113(3):422-8.
    View in: PubMed
    Score: 0.012
  15. Cost-effectiveness of substituting dual-energy CT for SPECT in the assessment of myocardial perfusion for the workup of coronary artery disease. Eur J Radiol. 2012 Dec; 81(12):3719-25.
    View in: PubMed
    Score: 0.010
  16. Use of multidetector computed tomography for the assessment of acute chest pain: a consensus statement of the North American Society of Cardiac Imaging and the European Society of Cardiac Radiology. Eur Radiol. 2007 Aug; 17(8):2196-207.
    View in: PubMed
    Score: 0.007
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

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