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1. Advanced isolated light chain amyloid cardiomyopathy with negative immunofixation and normal free light chain ratio

2. Combining targeted and systematic prostate biopsy improves prostate cancer detection and correlation with the whole mount histopathology in biopsy naïve and previous negative biopsy patients

3. Myocardial infarction with non-obstructive coronary arteries in a patient double-seropositive for anti-glomerular basement membrane and anti-neutrophil cytoplasmic antibodies: A case report

4. Left atrial acceleration factor as a magnetic resonance 4D flow measure of mean pulmonary artery wedge pressure in pulmonary hypertension

5. Cohort profile: ‘Biomarkers of Personalised Medicine’ (BioPersMed): a single-centre prospective observational cohort study in Graz/Austria to evaluate novel biomarkers in cardiovascular and metabolic diseases

6. Diagnosing Pulmonary Embolism With Computed Tomography Pulmonary Angiography

7. Automated vortical blood flow-based estimation of mean pulmonary arterial pressure from 4D flow MRI

8. Cohort profile: 'Biomarkers of Personalised Medicine' (BioPersMed): a single-centre prospective observational cohort study in Graz/Austria to evaluate novel biomarkers in cardiovascular and metabolic diseases

9. Impact of the Choice of Native <scp> T 1 </scp> in Pixelwise Myocardial Blood Flow Quantification

10. MR 4D flow-based mean pulmonary arterial pressure tracking in pulmonary hypertension

11. Combining targeted and systematic prostate biopsy improves prostate cancer detection and correlation with the whole mount histopathology in biopsy naïve and previous negative biopsy patients

12. Quantitative Clinical Cardiac Magnetic Resonance Imaging

13. Cardiac magnetic resonance T1 mapping. Part 1: Aspects of acquisition and evaluation

14. Cardiac magnetic resonance T1 mapping. Part 2: Diagnostic potential and applications

15. Impact of the Choice of Native T

16. Differences in left ventricular and left atrial function assessed during breath-holding and breathing

17. SCFFbxo9 and CK2 direct the cellular response to growth factor withdrawal via Tel2/Tti1 degradation and promote survival in multiple myeloma

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