Header Logo

Connection

Aryabod Razipour to Prospective Studies

This is a "connection" page, showing publications Aryabod Razipour has written about Prospective Studies.
Connection Strength

0.325
  1. Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial. Heart. 2025 Jun 26; 111(14):686-694.
    View in: PubMed
    Score: 0.057
  2. Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study. Lancet Digit Health. 2022 04; 4(4):e256-e265.
    View in: PubMed
    Score: 0.046
  3. Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study. Cardiovasc Diabetol. 2021 01 29; 20(1):27.
    View in: PubMed
    Score: 0.042
  4. Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study. Cardiovasc Res. 2020 12 01; 116(14):2216-2225.
    View in: PubMed
    Score: 0.042
  5. Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19. Metabolism. 2021 02; 115:154436.
    View in: PubMed
    Score: 0.041
  6. Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study. Atherosclerosis. 2021 02; 318:76-82.
    View in: PubMed
    Score: 0.041
  7. Extra-coronary calcification (aortic valve calcification, mitral annular calcification, aortic valve ring calcification and thoracic aortic calcification) in HIV seropositive and seronegative men: Multicenter AIDS Cohort Study. J Cardiovasc Comput Tomogr. 2016 May-Jun; 10(3):229-236.
    View in: PubMed
    Score: 0.030
  8. Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis. AIDS. 2014 Jul 17; 28(11):1635-44.
    View in: PubMed
    Score: 0.027
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.