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4. Robust reconstruction of cardiac T1 maps using RNNs

7. Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging

8. Synthetic contrast enhancement in cardiac CT with Deep Learning

10. Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin

13. MR-proADM as prognostic factor of outcome in COVID-19 patients

15. An automatic deep learning approach for coronary artery calcium segmentation

16. Evaluation of a Deep Convolutional Neural Network method for the segmentation of breast microcalcifications in Mammography Imaging

17. Head-to-head comparison of plasma cTnI concentration values measured with three high-sensitivity methods in a large Italian population of healthy volunteers and patients admitted to emergency department with acute coronary syndrome: A multi-center study

19. Potential role of IgM-enriched immunoglobulin as adjuvant treatment in severe SARS-CoV-2 infection

20. sST2 Predicts Outcome in Chronic Heart Failure Beyond NT−proBNP and High-Sensitivity Troponin T

23. Ischemic strokes in COVID-19: risk factors, obesity paradox, and distinction between trigger and causal association

24. Safety and Efficacy of a Single Procedure of Extraction and Reimplantation of Infected Cardiovascular Implantable Electronic Device (CIED) in Comparison with Deferral Timing: An Observational Retrospective Multicentric Study

25. Meta-Analysis of Soluble Suppression of Tumorigenicity-2 and Prognosis in Acute Heart Failure

27. Comorbidity in lipoprotein apheresis: Their role in the era of new lipid‐lowering therapies.

29. Clinical outcomes in elderly patients with infections caused by NDM-producing Klebsiella pneumoniae. Results from a real-life retrospective single center study in an endemic area

30. Lipid modification induced by lipoprotein apheresis could mirrored mid-regional-pro-adrenomedullin plasma levels?

33. Prognostic value of right ventricular refractory period heterogeneity in Type-1 Brugada electrocardiographic pattern

34. Fully Automated Regional Analysis of Myocardial T2* Values for Iron Quantification Using Deep Learning

36. Prognostic Value of High-Sensitivity Troponin T in Chronic Heart Failure: An Individual Patient Data Meta-Analysis

45. Voltage Gradient Dispersion Mapping in Asymptomatic Subjects with Brugada Type-1 Electrocardiographic Pattern

47. Prognostic value of right ventricular refractory period heterogeneity in Type-1 Brugada electrocardiographic pattern.

49. CORonavirus-19 mild to moderate pneumonia Management with blood Ozonization in patients with Respiratory failure (CORMOR) multicentric prospective randomized clinical trial

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