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1. Aortic valve imaging using 18F-sodium fluoride: impact of triple motion correction

2. Bypass Grafting and Native Coronary Artery Disease Activity

3. Observer repeatability and interscan reproducibility of 18F-sodium fluoride coronary microcalcification activity

4. Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction

5. Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study

6. Whole-vessel coronary 18F-sodium fluoride PET for assessment of the global coronary microcalcification burden

7. Coronary 18F-Sodium Fluoride Uptake Predicts Outcomes in Patients With Coronary Artery Disease

8. Analytical quantification of aortic valve 18F-sodium fluoride PET uptake

9. Optimization of reconstruction and quantification of motion-corrected coronary PET-CT

11. Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning

12. Cardiovascular magnetic resonance and positron emission tomography in the assessment of aortic stenosis

14. Triple-gated motion and blood pool clearance corrections improve reproducibility of coronary 18F-NaF PET

15. Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary 18F-NaF PET Imaging

16. Three-Hour Delayed Imaging Improves Assessment of Coronary 18F-Sodium Fluoride PET

17. Thoracic Aortic 18F-Sodium Fluoride Activity and Ischemic Stroke in Patients With Established Cardiovascular Disease

18. Pericoronary Adipose Tissue Attenuation, Low-Attenuation Plaque Burden, and 5-Year Risk of Myocardial Infarction

19. Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study

20. Association of Lipoprotein(a) With Atherosclerotic Plaque Progression

21. Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study

24. Detection and Prediction of Bioprosthetic Aortic Valve Degeneration

27. Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction: Results From the Multicenter SCOT-HEART Trial (Scottish Computed Tomography of the HEART)

28. Coronary Atherosclerotic Plaque Activity and Future Coronary Events

32. Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging

33. Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging

35. Serum lipoprotein(a) and bioprosthetic aortic valve degeneration

40. Anatomical validation of automatic respiratory motion correction for coronary 18F-Sodium Fluoride PET by expert measurements from 4D CT

41. Automated nonlinear registration of coronary PET to CT angiography using pseudo-CT generated from PET with generative adversarial networks

42. Hepatosteatosis and atherosclerotic plaque on coronary computed tomography angiography

43. Anatomical validation of automatic respiratory motion correction for coronary 18F-sodium fluoride positron emission tomography by expert measurements from four-dimensional computed tomography

44. Aortic valve imaging using 18F-sodium fluoride:impact of triple motion correction

45. Association of Lipoprotein(a) With Atherosclerotic Plaque Progression

49. Hepatosteatosis and Atherosclerotic Plaque at Coronary CT Angiography

50. USING ARTIFICIAL INTELLIGENCE TO EVALUATE ADDED VALUE OF CORONARY ARTERY CALCIUM SCORING FROM STANDARD AND LOW-DOSE UNGATED CT IN MYOCARDIAL PERFUSION PET/CT IMAGING MORTALITY RISK ASSESSMENT

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