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3. CT pericoronary adipose tissue density predicts coronary allograft vasculopathy and adverse clinical outcomes after cardiac transplantation

4. Quantification of aortic valve fibrosis and calcification by computed tomography angiography: a prospective head-to-head comparison with histology

8. Exercise induced coronary inflammation in masters athletes

11. Cardiometabolic predictors of quantitative high-risk plaque features in a diverse patient population

12. 18F-sodium fluoride positron emission tomography and coronary plaque radiomics derived from computed tomography angiography for prediction of myocardial infarction

17. Deep learning-based plaque quantification from coronary computed tomography angiography: external validation and comparison with intravascular ultrasound

19. Association of coronary artery calcium score groups with qualitative and quantitatively assessed adverse plaque

20. Machine learning from quantitative coronary computed tomography angiography predicts ischemia and impaired myocardial blood flow

25. Pericoronary adipose tissue density is associated with clinical disease activity in Takayasu arteritis and coronary arterial inflammation measured by 68Ga-DOTATATE PET in atherosclerosis

28. P6151Fully automated epicardial adipose tissue volume and density measured from non-contrast CT predict major adverse cardiovascular events in asymptomatic subjects

29. 30Machine 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

30. 5963Automated quantification of epicardial adipose tissue from non-contrast CT on multi-center and multi-vendor data using deep learning

33. P6207Pericoronary adipose tissue density and low attenuation plaque are associated with 18F-sodium fluoride coronary uptake in vulnerable plaque patients

34. P876Lesion-specific and vessel-related determinants of FFR

37. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.

38. Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions.

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