Connection

Akos Varga-Szemes to Coronary Angiography

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This is a "connection" page, showing publications Akos Varga-Szemes has written about Coronary Angiography.
Akos Varga-Szemes
Connection Strength
3.793
Coronary Angiography
  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: 0.130
  2. Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes. Radiology. 2022 01; 302(1):50-58.
    View in: PubMed
    Score: 0.127
  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: 0.121
  4. Evaluation of a Tube Voltage-Tailored Contrast Medium Injection Protocol for Coronary CT Angiography: Results From the Prospective VOLCANIC Study. AJR Am J Roentgenol. 2020 11; 215(5):1049-1056.
    View in: PubMed
    Score: 0.118
  5. 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: 0.116
  6. 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: 0.115
  7. 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: 0.112
  8. 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: 0.111
  9. 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: 0.110
  10. 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: 0.109
  11. Automated plaque analysis for the prognostication of major adverse cardiac events. Eur J Radiol. 2019 Jul; 116:76-83.
    View in: PubMed
    Score: 0.107
  12. Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia. Eur Radiol. 2019 May; 29(5):2378-2387.
    View in: PubMed
    Score: 0.104
  13. 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: 0.104
  14. Contrast media injection protocol optimization for dual-energy coronary CT angiography: results from a circulation phantom. Eur Radiol. 2018 Aug; 28(8):3473-3481.
    View in: PubMed
    Score: 0.099
  15. Beam-hardening in 70-kV Coronary CT angiography: Artifact reduction using an advanced post-processing algorithm. Eur J Radiol. 2018 Apr; 101:111-117.
    View in: PubMed
    Score: 0.099
  16. 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: 0.099
  17. Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocol. Eur Radiol. 2018 May; 28(5):2134-2142.
    View in: PubMed
    Score: 0.097
  18. 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: 0.096
  19. 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: 0.095
  20. 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: 0.095
  21. 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: 0.093
  22. 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: 0.092
  23. 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: 0.091
  24. Diagnostic accuracy of coronary CT angiography using 3rd-generation dual-source CT and automated tube voltage selection: Clinical application in a non-obese and obese patient population. Eur Radiol. 2017 Jun; 27(6):2298-2308.
    View in: PubMed
    Score: 0.090
  25. 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: 0.089
  26. Dynamic CT myocardial perfusion imaging. Eur J Radiol. 2016 Oct; 85(10):1893-1899.
    View in: PubMed
    Score: 0.089
  27. 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: 0.088
  28. Myocardial perfusion imaging with dual energy CT. Eur J Radiol. 2016 Oct; 85(10):1914-1921.
    View in: PubMed
    Score: 0.088
  29. 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: 0.086
  30. Automated tube voltage selection for radiation dose and contrast medium reduction at coronary CT angiography using 3(rd) generation dual-source CT. Eur Radiol. 2016 Oct; 26(10):3608-16.
    View in: PubMed
    Score: 0.086
  31. Coronary CT angiography in obese patients using 3(rd) generation dual-source CT: effect of body mass index on image quality. Eur Radiol. 2016 Sep; 26(9):2937-46.
    View in: PubMed
    Score: 0.085
  32. 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: 0.084
  33. 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: 0.080
  34. Ultra-high resolution photon-counting coronary CT angiography improves coronary stenosis quantification over a wide range of heart rates - A dynamic phantom study. Eur J Radiol. 2023 Apr; 161:110746.
    View in: PubMed
    Score: 0.035
  35. Stent imaging on a clinical dual-source photon-counting detector CT system-impact of luminal attenuation and sharp kernels on lumen visibility. Eur Radiol. 2023 Apr; 33(4):2469-2477.
    View in: PubMed
    Score: 0.034
  36. 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: 0.033
  37. 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: 0.033
  38. Optimization of contrast material administration for coronary CT angiography using a software-based test-bolus evaluation algorithm. Br J Radiol. 2022 May 01; 95(1133):20201456.
    View in: PubMed
    Score: 0.033
  39. 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: 0.032
  40. 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: 0.032
  41. 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: 0.032
  42. 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: 0.031
  43. Evaluating a New Contrast Media Injection System in Coronary CT Angiography. Radiol Technol. 2021 Jan; 92(3):232-239.
    View in: PubMed
    Score: 0.030
  44. 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: 0.030
  45. CT myocardial perfusion: state of the science. Minerva Cardioangiol. 2017 Jun; 65(3):252-264.
    View in: PubMed
    Score: 0.023
  46. 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: 0.023
  47. CT angiography for planning transcatheter aortic valve replacement using automated tube voltage selection: Image quality and radiation exposure. Eur J Radiol. 2017 Jan; 86:276-283.
    View in: PubMed
    Score: 0.023
  48. Optimal timing of image acquisition for arterial first pass CT myocardial perfusion imaging. Eur J Radiol. 2017 Jan; 86:227-233.
    View in: PubMed
    Score: 0.023
  49. Semiautomated Global Quantification of Left Ventricular Myocardial Perfusion at Stress Dynamic CT:: Diagnostic Accuracy for Detection of Territorial Myocardial Perfusion Deficits Compared to Visual Assessment. Acad Radiol. 2016 Apr; 23(4):429-37.
    View in: PubMed
    Score: 0.021
  50. 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: 0.021
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