Connection

U. Schoepf to Severity of Illness Index

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This is a "connection" page, showing publications U. Schoepf has written about Severity of Illness Index.
U. Schoepf
Connection Strength
2.193
Severity of Illness Index
  1. 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: 0.116
  2. 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: 0.112
  3. 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
  4. 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: 0.097
  5. 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
  6. 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: 0.090
  7. 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: 0.089
  8. 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: 0.087
  9. 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: 0.080
  10. Semiautomated quantification of aortic annulus dimensions on cardiac CT for TAVR. JACC Cardiovasc Imaging. 2014 Mar; 7(3):320-2.
    View in: PubMed
    Score: 0.076
  11. 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: 0.068
  12. 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: 0.068
  13. Apicoaortic Conduits, an innovative solution to difficult aortic stenosis: the MUSC Experience. J S C Med Assoc. 2011 Aug; 107(4):160-3.
    View in: PubMed
    Score: 0.063
  14. Integrative computed tomographic imaging of coronary artery disease. Expert Rev Cardiovasc Ther. 2011 Jan; 9(1):27-43.
    View in: PubMed
    Score: 0.061
  15. Does two-segment image reconstruction at 64-section CT coronary angiography improve image quality and diagnostic accuracy? Radiology. 2007 Jul; 244(1):121-9.
    View in: PubMed
    Score: 0.047
  16. 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: 0.033
  17. 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: 0.033
  18. Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence. Open Heart. 2021 11; 8(2).
    View in: PubMed
    Score: 0.032
  19. 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: 0.031
  20. 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: 0.031
  21. 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: 0.030
  22. Ischemia and outcome prediction by cardiac CT based machine learning. Int J Cardiovasc Imaging. 2020 Dec; 36(12):2429-2439.
    View in: PubMed
    Score: 0.029
  23. 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: 0.029
  24. 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: 0.028
  25. 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: 0.028
  26. 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: 0.028
  27. Automated plaque analysis for the prognostication of major adverse cardiac events. Eur J Radiol. 2019 Jul; 116:76-83.
    View in: PubMed
    Score: 0.027
  28. 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: 0.026
  29. 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: 0.026
  30. Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements. Int J Cardiovasc Imaging. 2019 Mar; 35(3):539-547.
    View in: PubMed
    Score: 0.026
  31. 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: 0.025
  32. Predictive value of coronary computed tomography angiography in asymptomatic individuals with diabetes mellitus: Systematic review and meta-analysis. J Cardiovasc Comput Tomogr. 2018 Jul - Aug; 12(4):320-328.
    View in: PubMed
    Score: 0.025
  33. 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: 0.024
  34. CT angiography to evaluate coronary artery disease and revascularization requirement before trans-catheter aortic valve replacement. J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):338-346.
    View in: PubMed
    Score: 0.024
  35. Coronary artery calcium in breast cancer survivors after radiation therapy. Int J Cardiovasc Imaging. 2017 Sep; 33(9):1425-1431.
    View in: PubMed
    Score: 0.023
  36. 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: 0.023
  37. 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: 0.023
  38. 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: 0.023
  39. Coronary Artery Disease - Reporting and?Data?System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC. JACC Cardiovasc Imaging. 2016 09; 9(9):1099-1113.
    View in: PubMed
    Score: 0.023
  40. CAD-RADS(TM) Coronary Artery Disease - Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr. 2016 Jul-Aug; 10(4):269-81.
    View in: PubMed
    Score: 0.022
  41. 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: 0.021
  42. A novel approach for fractional flow reserve derivation from coronary computed tomographic angiography. Coron Artery Dis. 2015 May; 26(3):279-80.
    View in: PubMed
    Score: 0.021
  43. Predictive Value of Computed Tomography in Acute Pulmonary Embolism: Systematic Review and Meta-analysis. Am J Med. 2015 Jul; 128(7):747-59.e2.
    View in: PubMed
    Score: 0.020
  44. Pulmonary embolism and renal vein thrombosis in patients with nephrotic syndrome: prospective evaluation of prevalence and risk factors with CT. Radiology. 2014 Dec; 273(3):897-906.
    View in: PubMed
    Score: 0.019
  45. Magnetic resonance myocardial perfusion imaging at 3.0 Tesla for the identification of myocardial ischaemia: comparison with coronary catheter angiography and fractional flow reserve measurements. Eur Heart J Cardiovasc Imaging. 2013 Dec; 14(12):1174-80.
    View in: PubMed
    Score: 0.018
  46. Atherosclerotic plaque burden in cocaine users with acute chest pain: analysis by coronary computed tomography angiography. Atherosclerosis. 2013 Aug; 229(2):443-8.
    View in: PubMed
    Score: 0.018
  47. Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ. 2012 Jun 12; 344:e3485.
    View in: PubMed
    Score: 0.017
  48. Patient management after noninvasive cardiac imaging results from SPARC (Study of myocardial perfusion and coronary anatomy imaging roles in coronary artery disease). J Am Coll Cardiol. 2012 Jan 31; 59(5):462-74.
    View in: PubMed
    Score: 0.016
  49. Pulmonary embolism: CT signs and cardiac biomarkers for predicting right ventricular dysfunction. Eur Respir J. 2012 Apr; 39(4):919-26.
    View in: PubMed
    Score: 0.016
  50. Correlation of CT angiographic pulmonary artery obstruction scores with right ventricular dysfunction and clinical outcome in patients with acute pulmonary embolism. Eur J Radiol. 2012 Oct; 81(10):2867-71.
    View in: PubMed
    Score: 0.016
  51. Iterative image reconstruction techniques: Applications for cardiac CT. J Cardiovasc Comput Tomogr. 2011 Jul-Aug; 5(4):225-30.
    View in: PubMed
    Score: 0.016
  52. Accuracy of coronary artery stenosis detection with CT versus conventional coronary angiography compared with composite findings from both tests as an enhanced reference standard. Eur Radiol. 2011 Sep; 21(9):1895-903.
    View in: PubMed
    Score: 0.016
  53. Dual energy CT pulmonary blood volume assessment in acute pulmonary embolism - correlation with D-dimer level, right heart strain and clinical outcome. Eur Radiol. 2011 Sep; 21(9):1914-21.
    View in: PubMed
    Score: 0.016
  54. Hemodynamic assessment of severe aortic stenosis: MRI evaluation of dynamic changes of vena contracta. Invest Radiol. 2011 Jan; 46(1):1-10.
    View in: PubMed
    Score: 0.015
  55. Chest CT assessment following thrombolysis or surgical embolectomy for acute pulmonary embolism. Vasc Med. 2005 May; 10(2):85-9.
    View in: PubMed
    Score: 0.010
  56. Multiplanar reformat display technique in abdominal multidetector row CT imaging. Clin Imaging. 2003 Mar-Apr; 27(2):119-23.
    View in: PubMed
    Score: 0.009
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.