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1. Impact of tafamidis on myocardial function and CMR tissue characteristics in transthyretin amyloid cardiomyopathy

2. Reduced response to regadenoson with increased weight: An artificial intelligence–based quantitative myocardial perfusion study

3. Splenic switch-off as a predictor for coronary adenosine response: validation against 13N-ammonia during co-injection myocardial perfusion imaging on a hybrid PET/CMR scanner

4. Left ventricular function and volumes from gated [13N]-ammonia positron emission tomography myocardial perfusion imaging: A prospective head-to-head comparison against CMR using a hybrid PET/MR device

5. Performance of the ESC 0/2h-algorithm using high-sensitivity cardiac troponin I in the early diagnosis of myocardial infarction

6. Prognostic value of regional myocardial flow reserve derived from 13N-ammonia positron emission tomography in patients with suspected coronary artery disease

7. Splenic switch-off as a novel marker for adenosine response in nitrogen-13 ammonia PET myocardial perfusion imaging: Cross-validation against CMR using a hybrid PET/MR device

8. Coronary artery lumen volume index as a marker of flow-limiting atherosclerosis—validation against 13N-ammonia positron emission tomography

9. Risk stratification using coronary artery calcium scoring based on low tube voltage computed tomography

10. Gut microbiota-dependent metabolite trimethylamine N-oxide (TMAO) and cardiovascular risk in patients with suspected functionally relevant coronary artery disease (fCAD)

11. External Validation and Extension of a Clinical Score for the Discrimination of Type 2 Myocardial Infarction

12. Myocardial creep-induced misalignment artifacts in PET/MR myocardial perfusion imaging

13. Splenic switch off as a novel marker for adenosine response in 13N-ammonia PET myocardial perfusion imaging – a pilot study

14. Diagnosis of Non-Alcoholic Fatty Liver Disease (NAFLD) Is Independently Associated with Cardiovascular Risk in a Large Austrian Screening Cohort

15. Ccta Derived Coronary Artery Volume Index Correlates With Ammonia Pet Quantitative Parameters And Predicts Ischemia

16. Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy

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