246 results on '"Unterseeh T"'
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2. Incremental prognostic value of late gadolinium enhancement extent, transmurality, and pattern in patients with ischemic cardiomyopathy
3. Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD
4. Optimal cut-off point of the global circumferential strain measured at stress for prediction of cardiovascular events
5. AI-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress-CMR
6. Optimal cut-off thresholds of LGE extent to predict death using machine-learning in a large cohort of ICM patients
7. Artificial intelligence fully automated assessment of global longitudinal strain predicts death in patients undergoing stress CMR
8. Prognostic value of non-ischemic late gadolinium enhancement in patients with ischemic cardiomyopathy
9. Prognostic impact of the extent, location, and pattern of late gadolinium enhancement in non-ischemic dilated cardiomyopathy
10. Machine-Learning Score using Stress CMR and CCTA for prediction of cardiovascular events in patients with obstructive CAD
11. TAVI chez les femmes, des résultats très encourageants
12. Machine-learning score using CCTA and stress CMR for prediction of cardiovascular events in patients with obstructive CAD
13. Ai-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress-CMR
14. Associated factors and clinical implications of dynamic changes in late gadolinium enhancement after acute myocarditis
15. Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD
16. Incremental prognostic value of fully-automatic machine-learning based global circumferential strain during a stress CMR exam
17. Safety and incremental prognostic value of stress CMR in patients with known chronic kidney disease
18. Incremental prognostic value of fully automatic LVEF measured at stress using machine learning
19. Prognostic impact of the extent, location, and pattern of late gadolinium enhancement in dilated cardiomyopathy
20. Incremental prognostic value of late gadolinium enhancement extent, transmurality, and pattern in patients with ischaemic cardiomyopathy
21. Fully automated assessment of global longitudinal strain by machine learning predicts death in patients undergoing stress CMR
22. AI-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress-CMR
23. Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR
24. Machine-learning score using stress CMR and CCTA for prediction of cardiovascular events in patients with obstructive CAD
25. Associated factors and clinical implications of dynamic changes in late gadolinium enhancement after acute myocarditis
26. Procédure de TAVI par voie fémorale chez la femme : technique minimaliste
27. Cardiovascular Risk Reduction After Renal Denervation According to Time in Therapeutic Systolic Blood Pressure Range
28. Safety, feasibility and prognostic value of stress perfusion CMR in patients with MR-conditional pacemaker
29. Prognostic value of unrecognized myocardial infarction and silent ischemia detected by stress CMR in asymptomatic patients with prior cryptogenic ischemic stroke
30. Incremental prognostic value of fully automatic machine learning based global circumferential strain during a stress CMR exam
31. Incremental prognostic value of fully-automatic LVEF by stress CMR using machine learning
32. Additional prognostic value of fully automatic global longitudinal strain using machine learning
33. Incremental prognostic value of stress CMR for cardiovascular risk stratification in patients with known chronic kidney disease
34. Incremental prognostic value of stress CMR for cardiovascular risk stratification after a cryptogenic ischemic stroke
35. Machine-learning score using stress CMR for death prediction in patients with suspected or known CAD
36. Clinical and cardiovascular magnetic resonance predictors of early and long-term clinical outcome in acute myocarditis
37. La dénervation rénale un traitement pour l’hypertension artérielle résistante : expérience française
38. La dénervation rénale un traitement pour l’hypertension artérielle résistante
39. Phenotypic clustering of patients with newly diagnosed coronary artery disease using cardiovascular magnetic resonance and coronary computed tomography angiography
40. Incremental prognostic value of vasodilator stress cardiovascular magnetic resonance over coronary computed tomography angiography in symptomatic patients
41. Machine learning score using stress CMR for prediction of all-cause death in patients with suspected or known coronary artery disease a large registry with > 200,000 patient-years of follow-up
42. Phenotypic clustering of patients with coronary artery disease newly diagnosed using coronary computed tomography angiography and stress cardiovascular magnetic resonance
43. Incremental prognostic value of vasodilator stress cardiovascular magnetic resonance over coronary computed tomography angiography in symptomatic patients
44. Incremental long-term prognostic value of stress CMR above traditional risk factors to predict death a large registry with > 200,000 patient-years of follow-up
45. Long-term prognostic value of stress CMR in patients with history of percutaneous coronary intervention
46. Safety, feasibility and prognostic value of stress perfusion CMR in patients with pacemaker
47. Long-term prognostic value of stress CMR-related coronary revascularization to predict death: A large registry with > 200,000 patient-years of follow-up
48. Prognostic interest of vasodilator stress perfusion cardiovascular magnetic resonance after a first inconclusive stress testing
49. Long-term prognostic value of stress CMR-related coronary revascularization to predict death: a large registry with > 200,000 patient-years of follow-up
50. Prognostic value of pre-hospitalization stress perfusion CMR to predict death in patients hospitalized for COVID-19
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