Connection

Akos Varga-Szemes to Coronary Artery Disease

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This is a "connection" page, showing publications Akos Varga-Szemes has written about Coronary Artery Disease.
Akos Varga-Szemes
Connection Strength
4.643
Coronary Artery Disease
  1. Visualization of Concurrent Epicardial and Microvascular Coronary Artery Disease in a Patient with Systemic Lupus Erythematosus by Magnetic Resonance Imaging. Top Magn Reson Imaging. 2022 Feb 01; 31(1):3-8.
    View in: PubMed
    Score: 0.508
  2. 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: 0.473
  3. CT myocardial perfusion imaging. AJR Am J Roentgenol. 2015 Mar; 204(3):487-97.
    View in: PubMed
    Score: 0.314
  4. 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: 0.128
  5. Coronary Computed Tomography Angiography-Based Calcium Scoring: In Vitro and In Vivo Validation of a Novel Virtual Noniodine Reconstruction Algorithm on a Clinical, First-Generation Dual-Source Photon Counting-Detector System. Invest Radiol. 2022 08 01; 57(8):536-543.
    View in: PubMed
    Score: 0.128
  6. 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: 0.127
  7. 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: 0.126
  8. The Feasibility, Tolerability, Safety, and Accuracy of Low-radiation Dynamic Computed Tomography Myocardial Perfusion Imaging With Regadenoson Compared With Single-photon Emission Computed Tomography. J Thorac Imaging. 2021 Nov 01; 36(6):345-352.
    View in: PubMed
    Score: 0.125
  9. Radiomics: The Next Frontier of Cardiac Computed Tomography. Circ Cardiovasc Imaging. 2021 03; 14(3):e011747.
    View in: PubMed
    Score: 0.119
  10. 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: 0.119
  11. Evaluating a New Contrast Media Injection System in Coronary CT Angiography. Radiol Technol. 2021 Jan; 92(3):232-239.
    View in: PubMed
    Score: 0.118
  12. Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study. Eur J Radiol. 2021 Jan; 134:109428.
    View in: PubMed
    Score: 0.117
  13. Individualized coronary calcium scoring at any tube voltage using a kV-independent reconstruction algorithm. Eur Radiol. 2020 Nov; 30(11):5834-5840.
    View in: PubMed
    Score: 0.113
  14. Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography. J Thorac Imaging. 2020 May; 35 Suppl 1:S49-S57.
    View in: PubMed
    Score: 0.112
  15. 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: 0.109
  16. 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: 0.109
  17. 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: 0.107
  18. Automated plaque analysis for the prognostication of major adverse cardiac events. Eur J Radiol. 2019 Jul; 116:76-83.
    View in: PubMed
    Score: 0.105
  19. 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: 0.101
  20. Current and future applications of CT coronary calcium assessment. Expert Rev Cardiovasc Ther. 2018 Jun; 16(6):441-453.
    View in: PubMed
    Score: 0.098
  21. High-pitch low-voltage CT coronary artery calcium scoring with tin filtration: accuracy and radiation dose reduction. Eur Radiol. 2018 Jul; 28(7):3097-3104.
    View in: PubMed
    Score: 0.096
  22. 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: 0.093
  23. CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstruction. Eur J Radiol. 2017 Jun; 91:29-34.
    View in: PubMed
    Score: 0.091
  24. CT myocardial perfusion: state of the science. Minerva Cardioangiol. 2017 Jun; 65(3):252-264.
    View in: PubMed
    Score: 0.089
  25. Coronary Computed Tomography Angiography-Derived Plaque Quantification in Patients With Acute Coronary?Syndrome. Am J Cardiol. 2017 03 01; 119(5):712-718.
    View in: PubMed
    Score: 0.089
  26. Accuracy and Radiation Dose Reduction Using Low-Voltage Computed Tomography Coronary Artery Calcium Scoring With Tin Filtration. Am J Cardiol. 2017 02 15; 119(4):675-680.
    View in: PubMed
    Score: 0.088
  27. 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: 0.088
  28. Correction Factors for CT Coronary Artery Calcium Scoring Using Advanced Modeled Iterative Reconstruction Instead of Filtered Back Projection. Acad Radiol. 2016 12; 23(12):1480-1489.
    View in: PubMed
    Score: 0.087
  29. 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: 0.087
  30. 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: 0.086
  31. Myocardial perfusion imaging with dual energy CT. Eur J Radiol. 2016 Oct; 85(10):1914-1921.
    View in: PubMed
    Score: 0.086
  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: 0.084
  33. Approaches to ultra-low radiation dose coronary artery calcium scoring based on 3rd generation dual-source CT: A phantom study. Eur J Radiol. 2016 Jan; 85(1):39-47.
    View in: PubMed
    Score: 0.082
  34. Impact of an advanced image-based monoenergetic reconstruction algorithm on coronary stent visualization using third generation dual-source dual-energy CT: a phantom study. Eur Radiol. 2016 Jun; 26(6):1871-8.
    View in: PubMed
    Score: 0.082
  35. Absolute Versus Relative Myocardial Blood Flow by Dynamic CT Myocardial Perfusion Imaging in Patients With Anatomic Coronary Artery Disease. AJR Am J Roentgenol. 2015 Jul; 205(1):W67-72.
    View in: PubMed
    Score: 0.080
  36. Technical prerequisites and imaging protocols for dynamic and dual energy myocardial perfusion imaging. Eur J Radiol. 2015 Dec; 84(12):2401-10.
    View in: PubMed
    Score: 0.078
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