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1. An automated and time efficient framework for simulation of coronary blood flow under steady and pulsatile conditions

2. Role of advanced CMR features in identifying a positive genotype of hypertrophic cardiomyopathy

3. STress computed tomogRaphy perfusion and stress cArdiac magnetic resonance for ThE manaGement of suspected or known coronarY artery disease: resources and outcomes impact

4. DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR

6. Valvular Heart Diseases

7. Quantification of extracellular volume with cardiac computed tomography in patients with dilated cardiomyopathy

8. Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion

10. TAVI

11. Use of hydroxychloroquine in hospitalised COVID-19 patients is associated with reduced mortality: Findings from the observational multicentre Italian CORIST study

12. RAAS inhibitors are not associated with mortality in COVID-19 patients: Findings from an observational multicenter study in Italy and a meta-analysis of 19 studies

14. Stress Computed Tomography Perfusion versus Stress Cardiac Magnetic Resonance for the Management of Suspected or Known Coronary Artery Disease: Resources and Outcomes Impact - The STRATEGY II Study

15. Deep Learning-based Quantification of Epicardial Adipose Tissue Volume in Stress CMR Predicts Major Adverse Cardiovascular Events in Patients with Known or Suspected Coronary Artery Disease

16. Plasma Exosomes Refl Ect Myocardial Injury Detected by Cardiac Magnetic Resonance in STEMI Patients

18. The Role of Multimodality Imaging (CT & MR) as a Guide to the Management of Chronic Coronary Syndromes.

19. Circulating plasma exosomes reflect the severity of myocardial damage in STEMI patients

20. Interplay Between Genetic Substrate, QTc Duration, and Arrhythmia Risk in Patients With Long QT Syndrome

21. Circulating Small Extracellular Vesicles Reflect the Severity of Myocardial Damage in STEMI Patients

22. Early Biological Valve Failure: Structural Valve Degeneration, Thrombosis, or Endocarditis?

23. 4D-flow Cardiac Magnetic Resonance for the assEssmeNt of AOrtic Valve Repair with OzAki TEchnique

24. Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture

26. Kiosk 10R-TB-04 - Deep Learning-based Quantification of Epicardial Adipose Tissue Volume in Stress CMR Predicts Major Adverse Cardiovascular Events in Patients with Known or Suspected Coronary Artery Disease

27. CMR 2-45 - Stress Computed Tomography Perfusion versus Stress Cardiac Magnetic Resonance for the Management of Suspected or Known Coronary Artery Disease: Resources and Outcomes Impact - The STRATEGY II Study

29. Cardiac computed tomography: from anatomy to function

30. Value of 3D echocardiography in the diagnosis of arrhythmogenic right ventricular cardiomyopathy

31. Quantification of extracellular volume with cardiac computed tomography in patients with dilated cardiomyopathy

32. Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture

33. Does the AVNeo valve reduce wall stress on the aortic wall?: A cardiac magnetic resonance analysis with 4D-flow for the evaluation of aortic valve replacement with the Ozaki technique

37. Does the AVNeo valve reduce wall stress on the aortic wall? A cardiac magnetic resonance analysis with 4D-flow for the evaluation of aortic valve replacement with the Ozaki technique.

39. 611 PLASMA EXOSOMES REFLECT MYOCARDIAL INJURY DETECTED BY CARDIAC MAGNETIC RESONANCE IN STEMI PATIENTS

40. Is EuroSCORE II still a reliable predictor for cardiac surgery mortality in 2022? A retrospective study study.

41. Value of 3D echocardiography in the diagnosis of arrhythmogenic right ventricular cardiomyopathy

47. Value of 3D echocardiography in the diagnosis of arrhythmogenic right ventricular cardiomyopathy.

48. Additional file 1 of Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment

49. Changing Paradigms in the Diagnosis of Ischemic Heart Disease by Multimodality Imaging

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