44 results on '"Penso, Marco"'
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2. Association With Outcome of the Regurgitant-Volume Adjusted Right Ventricular Ejection Fraction in Secondary Tricuspid Regurgitation
3. Right Ventricular Function and Outcomes Stratified by the Effective Regurgitant Orifice Area in Secondary Tricuspid Regurgitation
4. Utility of the Ratio Between the Size of the Right Atrium and the Right Ventricle at End-Systole to Diagnose Atrial Secondary Tricuspid Regurgitation
5. PROGnostic RolE of strain measurements in stress cardiac MRI in predicting major adverse cardiac events
6. DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR
7. Timing and Patient Position During Cuff Blood Pressure Measurement Affect Myocardial Work Parameters Measured by Echocardiography
8. Right Atrial Remodeling and Outcome in Patients with Secondary Tricuspid Regurgitation
9. Clinical Impact of the Volumetric Quantification of Ventricular Secondary Mitral Regurgitation by Three-Dimensional Echocardiography
10. Association With Outcomes of Correcting the Proximal Isovelocity Surface Area Method to Quantitate Secondary Tricuspid Regurgitation
11. Quantification of extracellular volume with cardiac computed tomography in patients with dilated cardiomyopathy
12. A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images
13. Assessing right atrial size in patients with tricuspid regurgitation: importance of the right ventricular-focused view.
14. Decision Support Systems in HF based on Deep Learning Technologies
15. Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment
16. Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network
17. DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR
18. PROGnostic RolE of strain measurements in stress cardiac MRI in predicting major adverse cardiac events
19. Peak atrial longitudinal strain and risk stratification in moderate and severe aortic stenosis
20. 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
21. Circulating plasma exosomes reflect the severity of myocardial damage in STEMI patients
22. Circulating Small Extracellular Vesicles Reflect the Severity of Myocardial Damage in STEMI Patients
23. Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture
24. A deep-learning approach for myocardial fibrosis detection in early contrast-enhanced cardiac CT images
25. 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
26. Quantification of extracellular volume with cardiac computed tomography in patients with dilated cardiomyopathy
27. Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture
28. A deep-learning approach for myocardial fibrosis detection in early contrast-enhanced cardiac CT images
29. Cardiac computed tomography: from anatomy to function
30. 52 A DEEP-LEARNING APPROACH FOR SCAR DETECTION IN EARLY CONTRAST-ENHANCED CARDIAC COMPUTED TOMOGRAPHY IMAGES
31. Outcomes and mechanical complications of acute myocardial infarction during the second wave pandemic in a Milan HUB center for cardiac emergencies
32. Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension
33. Additional file 1 of Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment
34. Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair
35. Head to Head Comparison between Different 3-Dimensional Echocardiographic Rendering Tools in the Imaging of Percutaneous Edge-to-Edge Mitral Valve Repair
36. Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques
37. Novelties in 3D Transthoracic Echocardiography
38. Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network
39. Predictive Value of Pre-Operative 2D and 3D Transthoracic Echocardiography in Patients Undergoing Mitral Valve Repair: Long Term Follow Up of Mitral Valve Regurgitation Recurrence and Heart Chamber Remodeling
40. UTILITY OF THE RATIO BETWEEN THE SIZE OF THE RIGHT ATRIUM AND THE RIGHT VENTRICLE AT END-SYSTOLE TO DIAGNOSE ATRIAL SECONDARY TRICUSPID REGURGITATION
41. Advanced echocardiography and cluster analysis to identify secondary tricuspid regurgitation phenogroups at different risk.
42. A Novel Staging System of Cardiac Damage in Aortic Stenosis based on Multi-Chamber Myocardial Deformation.
43. Assessing right atrial size in patients with tricuspid regurgitation: importance of the right ventricular-focused view.
44. Peak atrial longitudinal strain and risk stratification in moderate and severe aortic stenosis.
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