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U. Schoepf to Retrospective Studies

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This is a "connection" page, showing publications U. Schoepf has written about Retrospective Studies.
U. Schoepf
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3.837
Retrospective Studies
  1. 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: 0.078
  2. Influence of coronary stenosis location on diagnostic performance of machine learning-based fractional flow reserve from CT angiography. J Cardiovasc Comput Tomogr. 2021 Nov-Dec; 15(6):492-498.
    View in: PubMed
    Score: 0.078
  3. Evaluating a New Contrast Media Injection System in Coronary CT Angiography. Radiol Technol. 2021 Jan; 92(3):232-239.
    View in: PubMed
    Score: 0.076
  4. How the Workload and Outcome of Imaging Examinations Changed During the COVID-19 Pandemic Lockdown. Acta Biomed. 2020 11 10; 91(4):e2020166.
    View in: PubMed
    Score: 0.075
  5. In-Hospital Cost Comparison of Triple-Rule-Out Computed Tomography Angiography Versus Standard of Care in Patients With Acute Chest Pain. J Thorac Imaging. 2020 May; 35(3):198-203.
    View in: PubMed
    Score: 0.072
  6. Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography. J Thorac Imaging. 2020 May; 35 Suppl 1:S35-S39.
    View in: PubMed
    Score: 0.072
  7. 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: 0.072
  8. Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers. J Thorac Imaging. 2020 May; 35 Suppl 1:S28-S34.
    View in: PubMed
    Score: 0.072
  9. Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing. AJR Am J Roentgenol. 2020 05; 214(5):1065-1071.
    View in: PubMed
    Score: 0.071
  10. 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: 0.070
  11. Myocardial extracellular volume fraction to differentiate healthy from cardiomyopathic myocardium using dual-source dual-energy CT. J Cardiovasc Comput Tomogr. 2020 Mar - Apr; 14(2):162-167.
    View in: PubMed
    Score: 0.069
  12. Relationship Between Pregnancy Complications and Subsequent Coronary Artery Disease Assessed by Coronary Computed Tomographic Angiography in Black Women. Circ Cardiovasc Imaging. 2019 07; 12(7):e008754.
    View in: PubMed
    Score: 0.068
  13. Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling. Radiology. 2018 Jul; 288(1):64-72.
    View in: PubMed
    Score: 0.063
  14. 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: 0.060
  15. 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
  16. 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: 0.057
  17. Cardiac CTA for Evaluation of Prosthetic?Valve?Dysfunction. JACC Cardiovasc Imaging. 2017 01; 10(1):91-93.
    View in: PubMed
    Score: 0.057
  18. 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: 0.057
  19. Comparison of Coronary Computed Tomography Angiography-Derived vs Invasive Fractional Flow Reserve Assessment: Meta-Analysis with Subgroup Evaluation of Intermediate Stenosis. Acad Radiol. 2016 11; 23(11):1402-1411.
    View in: PubMed
    Score: 0.056
  20. 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: 0.056
  21. 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: 0.055
  22. 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
  23. 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: 0.054
  24. Effect of automated tube voltage selection, integrated circuit detector and advanced iterative reconstruction on radiation dose and image quality of 3rd generation dual-source aortic CT angiography: An intra-individual comparison. Eur J Radiol. 2016 May; 85(5):972-8.
    View in: PubMed
    Score: 0.054
  25. Coronary In-Stent Restenosis: Assessment with Corrected Coronary Opacification Difference across Coronary Stents Measured with CT Angiography. Radiology. 2015 May; 275(2):403-12.
    View in: PubMed
    Score: 0.050
  26. 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: 0.042
  27. Conformational pulsatile changes of the aortic annulus: impact on prosthesis sizing by computed tomography for transcatheter aortic valve replacement. JACC Cardiovasc Interv. 2012 Sep; 5(9):984-94.
    View in: PubMed
    Score: 0.042
  28. Radiation dose at coronary CT angiography: second-generation dual-source CT versus single-source 64-MDCT and first-generation dual-source CT. AJR Am J Roentgenol. 2011 May; 196(5):W550-7.
    View in: PubMed
    Score: 0.039
  29. Cardiac CT in the assessment of acute chest pain in the emergency department. AJR Am J Roentgenol. 2009 Aug; 193(2):397-409.
    View in: PubMed
    Score: 0.034
  30. Coronary artery plaque formation at coronary CT angiography: morphological analysis and relationship to hemodynamics. Eur Radiol. 2009 Apr; 19(4):837-44.
    View in: PubMed
    Score: 0.033
  31. Pediatric cardiovascular CT angiography: radiation dose reduction using automatic anatomic tube current modulation. AJR Am J Roentgenol. 2008 May; 190(5):1232-40.
    View in: PubMed
    Score: 0.031
  32. Right heart: split-bolus injection of diluted contrast medium for visualization at coronary CT angiography. Radiology. 2008 May; 247(2):356-64.
    View in: PubMed
    Score: 0.031
  33. Right ventricular enlargement on chest computed tomography: a predictor of early death in acute pulmonary embolism. Circulation. 2004 Nov 16; 110(20):3276-80.
    View in: PubMed
    Score: 0.025
  34. Electrocardiographically gated 16-section CT of the thorax: cardiac motion suppression. Radiology. 2004 Dec; 233(3):927-33.
    View in: PubMed
    Score: 0.025
  35. CNN-based evaluation of bone density improves diagnostic performance to detect osteopenia and osteoporosis in patients with non-contrast chest CT examinations. Eur J Radiol. 2023 Apr; 161:110728.
    View in: PubMed
    Score: 0.022
  36. Diabetes, Atherosclerosis, and Stenosis by AI. Diabetes Care. 2023 02 01; 46(2):416-424.
    View in: PubMed
    Score: 0.022
  37. 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: 0.021
  38. Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning. BMC Infect Dis. 2022 Jul 21; 22(1):637.
    View in: PubMed
    Score: 0.021
  39. Role of CTA Surveillance for Management of Endovascular Repair of Aortic Dissection. Heart Surg Forum. 2022 Jun 20; 25(3):E441-E448.
    View in: PubMed
    Score: 0.021
  40. Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study. AJR Am J Roentgenol. 2022 Nov; 219(5):743-751.
    View in: PubMed
    Score: 0.021
  41. Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset. Eur Heart J Cardiovasc Imaging. 2022 06 01; 23(6):846-854.
    View in: PubMed
    Score: 0.021
  42. 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: 0.021
  43. Coronary CTA With AI-QCT Interpretation: Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard. AJR Am J Roentgenol. 2022 09; 219(3):407-419.
    View in: PubMed
    Score: 0.021
  44. An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality. Acad Radiol. 2022 08; 29(8):1178-1188.
    View in: PubMed
    Score: 0.021
  45. 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: 0.021
  46. 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: 0.021
  47. AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve: A CREDENCE Trial Substudy. JACC Cardiovasc Imaging. 2023 02; 16(2):193-205.
    View in: PubMed
    Score: 0.020
  48. Computed tomographic assessment of right ventricular long axis strain for prognosis after transcatheter aortic valve replacement. Eur J Radiol. 2022 Apr; 149:110212.
    View in: PubMed
    Score: 0.020
  49. Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia. BMC Cardiovasc Disord. 2022 02 05; 22(1):34.
    View in: PubMed
    Score: 0.020
  50. The effect of scan and patient parameters on the diagnostic performance of AI for detecting coronary stenosis on coronary CT angiography. Clin Imaging. 2022 Apr; 84:149-158.
    View in: PubMed
    Score: 0.020
  51. 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: 0.020
  52. 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: 0.020
  53. Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes. J Cardiovasc Comput Tomogr. 2022 May-Jun; 16(3):245-253.
    View in: PubMed
    Score: 0.020
  54. Calcium Scoring at Coronary CT Angiography Using Deep Learning. Radiology. 2022 02; 302(2):309-316.
    View in: PubMed
    Score: 0.020
  55. Prospective Evaluation of the First Integrated Positron Emission Tomography/Dual-Energy Computed Tomography System in Patients With Lung Cancer. J Thorac Imaging. 2021 Nov 01; 36(6):382-388.
    View in: PubMed
    Score: 0.020
  56. Normative Values of Pediatric Thoracic Aortic Diameters Indexed to Body Surface Area Using Computed Tomography. J Thorac Imaging. 2022 Jul 01; 37(4):231-238.
    View in: PubMed
    Score: 0.020
  57. 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: 0.020
  58. In-patient care trends in peripheral artery disease in the German healthcare system over the past decade. Eur Radiol. 2022 Mar; 32(3):1697-1708.
    View in: PubMed
    Score: 0.020
  59. Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes. Radiology. 2022 01; 302(1):50-58.
    View in: PubMed
    Score: 0.020
  60. Diagnostic Accuracy and Performance of Artificial Intelligence in Detecting Lung Nodules in Patients With Complex Lung Disease: A Noninferiority Study. J Thorac Imaging. 2022 May 01; 37(3):154-161.
    View in: PubMed
    Score: 0.020
  61. Right/Left Ventricular Blood Pool T2 Ratio as an Innovative Cardiac MRI Screening Tool for the Identification of Left-to-Right Shunts in Patients With Right Ventricular Disease. J Magn Reson Imaging. 2022 05; 55(5):1452-1458.
    View in: PubMed
    Score: 0.020
  62. Quiescent-Interval Slice-Selective MRA Accurately Estimates Intravascular Stent Dimensions Prior to Intervention in Patients With Peripheral Artery Disease. J Magn Reson Imaging. 2022 01; 55(1):246-254.
    View in: PubMed
    Score: 0.020
  63. Spontaneous Iliopsoas Muscle Hemorrhage-Predictors of Associated Mortality. Acad Radiol. 2022 04; 29(4):536-542.
    View in: PubMed
    Score: 0.020
  64. Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT. Acad Radiol. 2022 02; 29 Suppl 2:S108-S117.
    View in: PubMed
    Score: 0.019
  65. 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: 0.019
  66. Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value. BMC Med. 2021 03 04; 19(1):55.
    View in: PubMed
    Score: 0.019
  67. Serial coronary CT angiography-derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease. Eur Radiol. 2021 Sep; 31(9):7110-7120.
    View in: PubMed
    Score: 0.019
  68. 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: 0.019
  69. CT Angiography-Derived RECHARGE Score Predicts Successful Percutaneous Coronary Intervention in Patients with Chronic Total Occlusion. Korean J Radiol. 2021 05; 22(5):697-705.
    View in: PubMed
    Score: 0.019
  70. 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: 0.019
  71. Improved long-term prognostic value of coronary CT angiography-derived plaque measures and clinical parameters on adverse cardiac outcome using machine learning. Eur Radiol. 2021 Jan; 31(1):486-493.
    View in: PubMed
    Score: 0.018
  72. A fully automated software platform for structural mitral valve analysis. Eur Radiol. 2020 Dec; 30(12):6528-6536.
    View in: PubMed
    Score: 0.018
  73. More holes, more contrast? Comparing an 18-gauge non-fenestrated catheter with a 22-gauge fenestrated catheter for cardiac CT. PLoS One. 2020; 15(6):e0234311.
    View in: PubMed
    Score: 0.018
  74. Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease. Eur Radiol. 2020 Nov; 30(11):5841-5851.
    View in: PubMed
    Score: 0.018
  75. Cardiac Computed Tomography for Atrial Fibrillation Patients Undergoing Ablation: Implications for the Prediction of Early Recurrence. J Thorac Imaging. 2020 May; 35(3):186-192.
    View in: PubMed
    Score: 0.018
  76. Coronary CT angiography derived plaque markers correlated with invasive instantaneous flow reserve for detecting hemodynamically significant coronary stenoses. Eur J Radiol. 2020 Jan; 122:108744.
    View in: PubMed
    Score: 0.018
  77. Deep learning to convert unstructured CT pulmonary angiography reports into structured reports. Eur Radiol Exp. 2019 09 23; 3(1):37.
    View in: PubMed
    Score: 0.017
  78. Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease. Can J Cardiol. 2019 11; 35(11):1523-1533.
    View in: PubMed
    Score: 0.017
  79. CT FFR for Ischemia-Specific CAD With?a?New Computational Fluid Dynamics Algorithm: A Chinese Multicenter Study. JACC Cardiovasc Imaging. 2020 04; 13(4):980-990.
    View in: PubMed
    Score: 0.017
  80. 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
  81. Effect of Tube Voltage on Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography With Machine Learning: Results From the MACHINE Registry. AJR Am J Roentgenol. 2019 08; 213(2):325-331.
    View in: PubMed
    Score: 0.017
  82. Automated plaque analysis for the prognostication of major adverse cardiac events. Eur J Radiol. 2019 Jul; 116:76-83.
    View in: PubMed
    Score: 0.017
  83. Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: A multi-center study and meta-analysis. Eur J Radiol. 2019 Jul; 116:90-97.
    View in: PubMed
    Score: 0.017
  84. Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging. JACC Cardiovasc Imaging. 2019 08; 12(8 Pt 1):1591-1593.
    View in: PubMed
    Score: 0.017
  85. Modified calcium subtraction in dual-energy CT angiography of the lower extremity runoff: impact on diagnostic accuracy for stenosis detection. Eur Radiol. 2019 Sep; 29(9):4783-4793.
    View in: PubMed
    Score: 0.017
  86. Coronary CT angiography radiation dose trends: A 10-year analysis to develop institutional diagnostic reference levels. Eur J Radiol. 2019 Apr; 113:140-147.
    View in: PubMed
    Score: 0.017
  87. Progression of coronary atherosclerotic plaque burden and relationship with adverse cardiovascular event in asymptomatic diabetic patients. BMC Cardiovasc Disord. 2019 02 11; 19(1):39.
    View in: PubMed
    Score: 0.017
  88. 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: 0.017
  89. Association of Serum Lipid Profile With Coronary Computed Tomographic Angiography-derived Morphologic and Functional Quantitative Plaque Markers. J Thorac Imaging. 2019 Jan; 34(1):26-32.
    View in: PubMed
    Score: 0.016
  90. 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: 0.016
  91. Computer-assisted detection of acute pulmonary embolism at CT pulmonary angiography in children and young adults: a diagnostic performance analysis. Acta Radiol. 2019 Aug; 60(8):1011-1019.
    View in: PubMed
    Score: 0.016
  92. Fractional flow reserve derived from CCTA may have a prognostic role in myocardial bridging. Eur Radiol. 2019 Jun; 29(6):3017-3026.
    View in: PubMed
    Score: 0.016
  93. 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: 0.016
  94. 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
  95. Non-contrast-enhanced magnetic resonance angiography: a reliable clinical tool for evaluating transplant renal artery stenosis. Eur Radiol. 2018 Oct; 28(10):4195-4204.
    View in: PubMed
    Score: 0.016
  96. Heavily Calcified Coronary Arteries: Advanced Calcium Subtraction Improves Luminal Visualization and Diagnostic Confidence in Dual-Energy Coronary Computed Tomography Angiography. Invest Radiol. 2018 02; 53(2):103-109.
    View in: PubMed
    Score: 0.015
  97. Acute kidney injury in patients with nephrotic syndrome undergoing contrast-enhanced CT for suspected venous thromboembolism: a propensity score-matched retrospective cohort study. Eur Radiol. 2018 Apr; 28(4):1585-1593.
    View in: PubMed
    Score: 0.015
  98. Virtual Monoenergetic Imaging and Iodine Perfusion Maps Improve Diagnostic Accuracy of Dual-Energy Computed Tomography Pulmonary Angiography With Suboptimal Contrast Attenuation. Invest Radiol. 2017 11; 52(11):659-665.
    View in: PubMed
    Score: 0.015
  99. Prognostic value of coronary atherosclerosis progression evaluated by coronary CT angiography in patients with stable angina. Eur Radiol. 2018 Mar; 28(3):1066-1076.
    View in: PubMed
    Score: 0.015
  100. 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: 0.015
  101. Predictive value of perfusion defects on dual energy CTA in the absence of thromboembolic clots. J Cardiovasc Comput Tomogr. 2017 May - Jun; 11(3):183-187.
    View in: PubMed
    Score: 0.015
  102. Coronary artery calcium in breast cancer survivors after radiation therapy. Int J Cardiovasc Imaging. 2017 Sep; 33(9):1425-1431.
    View in: PubMed
    Score: 0.015
  103. 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: 0.015
  104. Radiology research in mainland China in the past 10 years: a survey of original articles published in Radiology and European Radiology. Eur Radiol. 2017 Oct; 27(10):4379-4382.
    View in: PubMed
    Score: 0.015
  105. Optimization of window settings for standard and advanced virtual monoenergetic imaging in abdominal dual-energy CT angiography. Abdom Radiol (NY). 2017 03; 42(3):772-780.
    View in: PubMed
    Score: 0.014
  106. 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
  107. 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: 0.014
  108. 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: 0.014
  109. Prognostic value of CT-derived left atrial and left ventricular measures in patients with acute chest pain. Eur J Radiol. 2017 Jan; 86:163-168.
    View in: PubMed
    Score: 0.014
  110. Radiation Dose Levels of Retrospectively ECG-Gated Coronary CT Angiography Using 70-kVp Tube Voltage in Patients with High or Irregular Heart Rates. Acad Radiol. 2017 01; 24(1):30-37.
    View in: PubMed
    Score: 0.014
  111. 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: 0.014
  112. 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: 0.014
  113. Low contrast medium-volume third-generation dual-source computed tomography angiography for transcatheter aortic valve replacement planning. Eur Radiol. 2017 May; 27(5):1944-1953.
    View in: PubMed
    Score: 0.014
  114. Single- and dual-energy CT of the abdomen: comparison of radiation dose and image quality of 2nd and 3rd generation dual-source CT. Eur Radiol. 2017 Feb; 27(2):642-650.
    View in: PubMed
    Score: 0.014
  115. 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: 0.013
  116. 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: 0.013
  117. Quantitative evaluation of beam-hardening artefact correction in dual-energy CT myocardial perfusion imaging. Eur Radiol. 2016 Sep; 26(9):3215-22.
    View in: PubMed
    Score: 0.013
  118. 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
  119. Effect of Automated Attenuation-based Tube Voltage Selection on Radiation Dose at CT: An Observational Study on a Global Scale. Radiology. 2016 Apr; 279(1):167-74.
    View in: PubMed
    Score: 0.013
  120. Application of an Advanced Image-Based Virtual Monoenergetic Reconstruction of Dual Source Dual-Energy CT Data at Low keV Increases Image Quality for Routine Pancreas Imaging. J Comput Assist Tomogr. 2015 Sep-Oct; 39(5):716-20.
    View in: PubMed
    Score: 0.013
  121. Comparison of quantitative stenosis characteristics at routine coronary computed tomography angiography with invasive fractional flow reserve for assessing lesion-specific ischemia. J Cardiovasc Comput Tomogr. 2015 Nov-Dec; 9(6):546-52.
    View in: PubMed
    Score: 0.013
  122. Dual-energy CT of the pancreas: improved carcinoma-to-pancreas contrast with a noise-optimized monoenergetic reconstruction algorithm. Eur J Radiol. 2015 Nov; 84(11):2052-8.
    View in: PubMed
    Score: 0.013
  123. Mammographic detection of breast arterial calcification as an independent predictor of coronary atherosclerotic disease in a single ethnic cohort of African American women. Atherosclerosis. 2015 Sep; 242(1):218-21.
    View in: PubMed
    Score: 0.013
  124. 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: 0.013
  125. Low-volume contrast medium protocol for comprehensive cardiac and aortoiliac CT assessment in the context of transcatheter aortic valve replacement. Acad Radiol. 2015 Sep; 22(9):1138-46.
    View in: PubMed
    Score: 0.013
  126. Diagnostic value of quantitative stenosis predictors with coronary CT angiography compared to invasive fractional flow reserve. Eur J Radiol. 2015 Aug; 84(8):1509-1515.
    View in: PubMed
    Score: 0.013
  127. Performance of Automated Software in the Assessment of Segmental Left Ventricular Function in Cardiac CT: Comparison with Cardiac Magnetic Resonance. Eur Radiol. 2015 Dec; 25(12):3560-6.
    View in: PubMed
    Score: 0.013
  128. Coronary CT angiography-derived fractional flow reserve correlated with invasive fractional flow reserve measurements--initial experience with a novel physician-driven algorithm. Eur Radiol. 2015 Apr; 25(4):1201-7.
    View in: PubMed
    Score: 0.012
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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.