Connection

Akos Varga-Szemes to Predictive Value of Tests

This is a "connection" page, showing publications Akos Varga-Szemes has written about Predictive Value of Tests.
Connection Strength

1.599
  1. Editorial for "Pediatric Cardiac Magnetic Resonance Reference Values for Biventricular Volumes Derived From Different Contouring Techniques". J Magn Reson Imaging. 2023 04; 57(4):1287-1288.
    View in: PubMed
    Score: 0.151
  2. Measurement accuracy of prototype non-contrast, compressed sensing-based, respiratory motion-resolved whole heart cardiovascular magnetic resonance angiography for the assessment of thoracic aortic dilatation: comparison with computed tomography angiography. J Cardiovasc Magn Reson. 2021 02 08; 23(1):7.
    View in: PubMed
    Score: 0.137
  3. Coronary plaque assessment of Vasodilative capacity by CT angiography effectively estimates fractional flow reserve. Int J Cardiol. 2021 05 15; 331:307-315.
    View in: PubMed
    Score: 0.137
  4. 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: 0.111
  5. Accuracy of Noncontrast Quiescent-Interval Single-Shot Lower Extremity MR Angiography Versus CT?Angiography for Diagnosis of Peripheral Artery Disease: Comparison With Digital Subtraction Angiography. JACC Cardiovasc Imaging. 2017 10; 10(10 Pt A):1116-1124.
    View in: PubMed
    Score: 0.104
  6. Correlation of cardiac magnetic resonance imaging and histopathology in eosinophilic endomyocarditis. Circ Cardiovasc Imaging. 2015 Jan; 8(1).
    View in: PubMed
    Score: 0.090
  7. 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: 0.038
  8. 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: 0.037
  9. Impact of machine-learning-based coronary computed tomography angiography-derived fractional flow reserve on decision-making in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement. Eur Radiol. 2022 Sep; 32(9):6008-6016.
    View in: PubMed
    Score: 0.037
  10. Time-dependent cardiac structural and functional changes after kidney transplantation: a multi-parametric cardiac magnetic resonance study. Eur Radiol. 2022 Aug; 32(8):5265-5275.
    View in: PubMed
    Score: 0.037
  11. Additive value of epicardial adipose tissue quantification to coronary CT angiography-derived plaque characterization and CT fractional flow reserve for the prediction of lesion-specific ischemia. Eur Radiol. 2022 Jun; 32(6):4243-4252.
    View in: PubMed
    Score: 0.037
  12. Prognostic value of epicardial adipose tissue volume in combination with coronary plaque and flow assessment for the prediction of major adverse cardiac events. Eur J Radiol. 2022 Mar; 148:110157.
    View in: PubMed
    Score: 0.037
  13. Utility of Functional and Volumetric Left Atrial Parameters Derived From Preprocedural Cardiac CTA in Predicting Mortality After Transcatheter Aortic Valve Replacement. AJR Am J Roentgenol. 2022 03; 218(3):444-452.
    View in: PubMed
    Score: 0.036
  14. CarDiac magnEtic Resonance for prophylactic Implantable-cardioVerter defibrillAtor ThErapy in Non-Ischaemic dilated CardioMyopathy: an international Registry. Europace. 2021 07 18; 23(7):1072-1083.
    View in: PubMed
    Score: 0.035
  15. Predictive Value of Cardiac CTA, Cardiac MRI, and Transthoracic Echocardiography for Cardioembolic Stroke Recurrence. AJR Am J Roentgenol. 2021 08; 217(2):336-346.
    View in: PubMed
    Score: 0.035
  16. Non-invasive fractional flow reserve (FFRCT) in the evaluation of acute chest pain - Concepts and first experiences. Eur J Radiol. 2021 May; 138:109633.
    View in: PubMed
    Score: 0.034
  17. 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: 0.034
  18. Cardiac magnetic resonance imaging features prognostic information in patients with suspected myocardial infarction with non-obstructed coronary arteries. Int J Cardiol. 2021 03 15; 327:223-230.
    View in: PubMed
    Score: 0.034
  19. 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: 0.033
  20. 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: 0.033
  21. A fully automated software platform for structural mitral valve analysis. Eur Radiol. 2020 Dec; 30(12):6528-6536.
    View in: PubMed
    Score: 0.033
  22. Low-kV coronary artery calcium scoring with tin filtration using a kV-independent reconstruction algorithm. J Cardiovasc Comput Tomogr. 2020 May - Jun; 14(3):246-250.
    View in: PubMed
    Score: 0.032
  23. Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm. JACC Cardiovasc Imaging. 2020 02; 13(2 Pt 1):524-526.
    View in: PubMed
    Score: 0.031
  24. Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry. JACC Cardiovasc Imaging. 2020 03; 13(3):760-770.
    View in: PubMed
    Score: 0.031
  25. Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques. J Cardiovasc Comput Tomogr. 2019 Nov - Dec; 13(6):331-335.
    View in: PubMed
    Score: 0.029
  26. Feasibility of extracellular volume quantification using dual-energy CT. J Cardiovasc Comput Tomogr. 2019 Jan - Feb; 13(1):81-84.
    View in: PubMed
    Score: 0.029
  27. Iterative beam-hardening correction with advanced modeled iterative reconstruction in low voltage CT coronary calcium scoring with tin filtration: Impact on coronary artery calcium quantification and image quality. J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):354-359.
    View in: PubMed
    Score: 0.027
  28. 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: 0.026
  29. Correlation and predictive value of aortic root calcification markers with coronary artery calcification and obstructive coronary artery disease. Radiol Med. 2017 Feb; 122(2):113-120.
    View in: PubMed
    Score: 0.026
  30. Prognostic implications of coronary CT angiography-derived quantitative markers for the prediction of major adverse cardiac events. J Cardiovasc Comput Tomogr. 2016 Nov - Dec; 10(6):458-465.
    View in: PubMed
    Score: 0.025
  31. Coronary CT angiography-derived quantitative markers for predicting in-stent restenosis. J Cardiovasc Comput Tomogr. 2016 Sep-Oct; 10(5):377-83.
    View in: PubMed
    Score: 0.025
  32. Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis. J Cardiovasc Comput Tomogr. 2016 May-Jun; 10(3):199-206.
    View in: PubMed
    Score: 0.024
  33. Acute infarct selective MRI contrast agent. Int J Cardiovasc Imaging. 2012 Feb; 28(2):285-93.
    View in: PubMed
    Score: 0.017
  34. 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: 0.016
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.