Connection

Akos Varga-Szemes to Myocardium

This is a "connection" page, showing publications Akos Varga-Szemes has written about Myocardium.
Connection Strength

1.819
  1. Quantitative inversion time prescription for myocardial late gadolinium enhancement using T1-mapping-based synthetic inversion recovery imaging: reducing subjectivity in the estimation of inversion time. Int J Cardiovasc Imaging. 2018 Jun; 34(6):921-929.
    View in: PubMed
    Score: 0.381
  2. T(Rho) and magnetization transfer and INvErsion recovery (TRAMINER)-prepared imaging: A novel contrast-enhanced flow-independent dark-blood technique for the evaluation of myocardial late gadolinium enhancement in patients with myocardial infarction. J Magn Reson Imaging. 2017 05; 45(5):1429-1437.
    View in: PubMed
    Score: 0.349
  3. Correlation of cardiac magnetic resonance imaging and histopathology in eosinophilic endomyocarditis. Circ Cardiovasc Imaging. 2015 Jan; 8(1).
    View in: PubMed
    Score: 0.309
  4. Quantification of doxorubicin-induced interstitial myocardial fibrosis in a beagle model using equilibrium contrast-enhanced computed tomography: A comparative study with cardiac magnetic resonance T1-mapping. Int J Cardiol. 2019 Apr 15; 281:150-155.
    View in: PubMed
    Score: 0.102
  5. Cardiac Magnetic Resonance T1-Mapping of the Myocardium: Technical Background and Clinical Relevance. J Thorac Imaging. 2018 Mar; 33(2):71-80.
    View in: PubMed
    Score: 0.096
  6. Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method. Eur Radiol. 2016 May; 26(5):1503-11.
    View in: PubMed
    Score: 0.081
  7. Embozene? microspheres induced nonreperfused myocardial infarction in an experimental swine model. Catheter Cardiovasc Interv. 2013 Mar; 81(4):689-97.
    View in: PubMed
    Score: 0.064
  8. Quantification of myocardial viability distribution with Gd(DTPA) bolus-enhanced, signal intensity-based percent infarct mapping. Magn Reson Imaging. 2011 Jun; 29(5):650-8.
    View in: PubMed
    Score: 0.060
  9. Acute infarct selective MRI contrast agent. Int J Cardiovasc Imaging. 2012 Feb; 28(2):285-93.
    View in: PubMed
    Score: 0.059
  10. Percent infarct mapping for delayed contrast enhancement magnetic resonance imaging to quantify myocardial viability by Gd(DTPA). J Magn Reson Imaging. 2010 Oct; 32(4):859-68.
    View in: PubMed
    Score: 0.058
  11. Differentiation of acute and four-week old myocardial infarct with Gd(ABE-DTTA)-enhanced CMR. J Cardiovasc Magn Reson. 2010 Apr 07; 12:22.
    View in: PubMed
    Score: 0.056
  12. Biventricular strain assessment indicates progressive impairment of myocardial contractility in phenotypically negative patients with Fabry's disease. Eur J Radiol. 2022 Oct; 155:110471.
    View in: PubMed
    Score: 0.033
  13. Automated Dual-energy Computed Tomography-based Extracellular Volume Estimation for Myocardial Characterization in Patients With Ischemic and Nonischemic Cardiomyopathy. J Thorac Imaging. 2022 Sep 01; 37(5):307-314.
    View in: PubMed
    Score: 0.032
  14. Monitoring of anthracycline-induced myocardial injury using serial cardiac magnetic resonance: An animal study. Int J Cardiol. 2021 04 01; 328:111-116.
    View in: PubMed
    Score: 0.029
  15. T1 and T2 mapping to detect chronic inflammation in cardiac magnetic resonance imaging in heart failure with reduced ejection fraction. ESC Heart Fail. 2020 10; 7(5):2544-2552.
    View in: PubMed
    Score: 0.029
  16. Myocardial Mass Corrected CMR Feature Tracking-Based Strain Ratios are Different in Pathologies With Increased Myocardial Mass. Acad Radiol. 2022 04; 29 Suppl 4:S40-S48.
    View in: PubMed
    Score: 0.028
  17. Iodine quantification based on rest / stress perfusion dual energy CT to differentiate ischemic, infarcted and normal myocardium. Eur J Radiol. 2019 Mar; 112:136-143.
    View in: PubMed
    Score: 0.026
  18. Feasibility of extracellular volume quantification using dual-energy CT. J Cardiovasc Comput Tomogr. 2019 Jan - Feb; 13(1):81-84.
    View in: PubMed
    Score: 0.025
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.