Harvard Catalyst Profiles

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Michael Tse-Yin Lu, M.D.

Co-Author

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This page shows the publications co-authored by Michael Lu and Thomas Mayrhofer.
Michael Lu
Connection Strength
2.509
Thomas Mayrhofer
  1. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Ann Intern Med. 2020 11 03; 173(9):704-713.
    View in: PubMed
    Score: 0.237
  2. Individual coronary plaque changes on serial CT angiography: Within-patient heterogeneity, natural history, and statin effects in HIV. J Cardiovasc Comput Tomogr. 2020 Mar - Apr; 14(2):144-148.
    View in: PubMed
    Score: 0.221
  3. Deep Learning to Assess Long-term Mortality From Chest Radiographs. JAMA Netw Open. 2019 07 03; 2(7):e197416.
    View in: PubMed
    Score: 0.219
  4. Central Core Laboratory versus Site Interpretation of Coronary CT Angiography: Agreement and Association with Cardiovascular Events in the PROMISE Trial. Radiology. 2018 04; 287(1):87-95.
    View in: PubMed
    Score: 0.196
  5. Epicardial and paracardial adipose tissue volume and attenuation - Association with high-risk coronary plaque on computed tomographic angiography in the ROMICAT II trial. Atherosclerosis. 2016 08; 251:47-54.
    View in: PubMed
    Score: 0.176
  6. Clinical implementation of an emergency department coronary computed tomographic angiography protocol for triage of patients with suspected acute coronary syndrome. Eur Radiol. 2017 Jul; 27(7):2784-2793.
    View in: PubMed
    Score: 0.091
  7. Risk Stratification With the Use of Coronary Computed Tomographic Angiography in Patients With Nonobstructive Coronary Artery Disease. JACC Cardiovasc Imaging. 2021 Apr 08.
    View in: PubMed
    Score: 0.062
  8. Association of Metabolic Phenotypes With Coronary Artery Disease and Cardiovascular Events in Patients With Stable Chest Pain. Diabetes Care. 2021 Apr; 44(4):1038-1045.
    View in: PubMed
    Score: 0.061
  9. Deep convolutional neural networks to predict cardiovascular risk from computed tomography. Nat Commun. 2021 01 29; 12(1):715.
    View in: PubMed
    Score: 0.061
  10. Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial. Eur Radiol. 2021 Jan 26.
    View in: PubMed
    Score: 0.061
  11. Cost-effectiveness Analysis of Anatomic vs Functional Index Testing in Patients With Low-Risk Stable Chest Pain. JAMA Netw Open. 2020 12 01; 3(12):e2028312.
    View in: PubMed
    Score: 0.060
  12. Guideline-Based Statin Eligibility, Coronary Artery Stenosis and Cardiovascular Events in Patients with Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial. J Clin Med. 2020 Sep 24; 9(10).
    View in: PubMed
    Score: 0.060
  13. Epicardial Adipose Tissue in Patients With Stable Chest Pain: Insights From the PROMISE Trial. JACC Cardiovasc Imaging. 2020 10; 13(10):2273-2275.
    View in: PubMed
    Score: 0.059
  14. Association of Hepatic Steatosis With Major Adverse Cardiovascular Events, Independent of Coronary Artery Disease. Clin Gastroenterol Hepatol. 2020 Jul 21.
    View in: PubMed
    Score: 0.059
  15. Radiomics of Coronary Artery Calcium in the Framingham Heart Study. Radiol Cardiothorac Imaging. 2020 Feb 27; 2(1):e190119.
    View in: PubMed
    Score: 0.057
  16. Left Ventricular Intramyocardial Fat Detected on Cardiac Computed Tomography in Patients With Stable Chest Pain. JACC Cardiovasc Imaging. 2020 05; 13(5):1282-1284.
    View in: PubMed
    Score: 0.057
  17. Prognostic Value of Coronary CTA in Stable Chest Pain: CAD-RADS, CAC, and Cardiovascular Events in PROMISE. JACC Cardiovasc Imaging. 2020 07; 13(7):1534-1545.
    View in: PubMed
    Score: 0.056
  18. Non-invasive fractional flow reserve derived from coronary computed tomography angiography in patients with acute chest pain: Subgroup analysis of the ROMICAT II trial. J Cardiovasc Comput Tomogr. 2019 Jul - Aug; 13(4):196-202.
    View in: PubMed
    Score: 0.054
  19. Pretest probability for patients with suspected obstructive coronary artery disease: re-evaluating Diamond-Forrester for the contemporary era and clinical implications: insights from the PROMISE trial. Eur Heart J Cardiovasc Imaging. 2019 May 01; 20(5):574-581.
    View in: PubMed
    Score: 0.054
  20. Coronary Computed Tomography Angiography-Specific Definitions of High-Risk Plaque Features Improve Detection of Acute Coronary Syndrome. Circ Cardiovasc Imaging. 2018 08; 11(8):e007657.
    View in: PubMed
    Score: 0.051
  21. Differences in the association of total versus local coronary artery calcium with acute coronary syndrome and culprit lesions in patients with acute chest pain: The coronary calcium paradox. Atherosclerosis. 2018 07; 274:251-257.
    View in: PubMed
    Score: 0.050
  22. Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial. JAMA Cardiol. 2018 02 01; 3(2):144-152.
    View in: PubMed
    Score: 0.050
  23. Presence, Characteristics, and Prognostic Associations of Carotid Plaque Among People Living With HIV. Circ Cardiovasc Imaging. 2017 10; 10(10).
    View in: PubMed
    Score: 0.048
  24. High-Sensitivity Cardiac Troponin I as a Gatekeeper for Coronary Computed Tomography Angiography and Stress Testing in Patients with Acute Chest Pain. Clin Chem. 2017 Nov; 63(11):1724-1733.
    View in: PubMed
    Score: 0.048
  25. Prognostic Value of Coronary Artery Calcium in the PROMISE Study (Prospective Multicenter Imaging Study for Evaluation of Chest Pain). Circulation. 2017 Nov 21; 136(21):1993-2005.
    View in: PubMed
    Score: 0.048
  26. Quantitative coronary plaque analysis predicts high-risk plaque morphology on coronary computed tomography angiography: results from the ROMICAT II trial. Int J Cardiovasc Imaging. 2018 Feb; 34(2):311-319.
    View in: PubMed
    Score: 0.048
  27. Impact of Coronary Calcification on Clinical Management in Patients With Acute Chest Pain. Circ Cardiovasc Imaging. 2017 May; 10(5).
    View in: PubMed
    Score: 0.047
  28. Nonobstructive Coronary Artery Disease by Coronary CT Angiography Improves Risk Stratification and Allocation of Statin Therapy. JACC Cardiovasc Imaging. 2017 09; 10(9):1031-1038.
    View in: PubMed
    Score: 0.047
  29. Statin Use Is Associated With Fewer High-Risk Plaques on Coronary CT Angiography. JACC Cardiovasc Imaging. 2017 02; 10(2):208-210.
    View in: PubMed
    Score: 0.044
  30. hs-Troponin I Followed by CT Angiography Improves Acute Coronary Syndrome Risk Stratification Accuracy and Work-Up in Acute Chest Pain Patients: Results From ROMICAT II Trial. JACC Cardiovasc Imaging. 2015 Nov; 8(11):1272-1281.
    View in: PubMed
    Score: 0.042
  31. Computed tomography-based high-risk coronary plaque score to predict acute coronary syndrome among patients with acute chest pain--Results from the ROMICAT II trial. J Cardiovasc Comput Tomogr. 2015 Nov-Dec; 9(6):538-45.
    View in: PubMed
    Score: 0.042
  32. High-risk coronary plaque at coronary CT angiography is associated with nonalcoholic fatty liver disease, independent of coronary plaque and stenosis burden: results from the ROMICAT II trial. Radiology. 2015 Mar; 274(3):693-701.
    View in: PubMed
    Score: 0.040
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.