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304 results on '"cardiac MR"'

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1. In vivo cardiac diffusion tensor imaging on an MR system featuring ultrahigh performance gradients with 200 mT/m maximum gradient strength.

2. Unwrapping phase contrast MRI by iterative graph cuts.

3. Cardiac Sarcoidosis: Utilizing Cardiac MRI and PET-CT.

4. Angina pectoris? Fake news: a case report of infective endocarditis with giant aortic root abscess detected by cardiac magnetic resonance imaging.

5. MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST‐Segment Elevation Myocardial Infarction.

6. Myocardial Scar Enhancement in LGE Cardiac MRI Using Localized Diffusion

7. Congenital Heart Disease

8. Generating Short-Axis DENSE Images from 4D XCAT Phantoms: A Proof-of-Concept Study

10. Recurrent Myocarditis

11. Single‐heartbeat cardiac cine imaging via jointly regularized nonrigid motion‐corrected reconstruction.

12. Multimodality imaging of myocardial tuberculosis presenting as right ventricular cardiomyopathy: A case report.

13. Low‐rank motion correction for accelerated free‐breathing first‐pass myocardial perfusion imaging.

14. 3-Dimensional Modeling Guided Transcatheter Repair of Dehisced Pulmonary Venous Baffle With Gore ASD Device

15. 3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts

16. Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation

18. The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images

20. Characterization of critically ill patients with septic shock and sepsis‐associated cardiomyopathy using cardiovascular MRI

21. Latest Advances in Image Acceleration: All Dimensions are Fair Game.

22. Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

23. Multiscale Graph Convolutional Networks for Cardiac Motion Analysis

24. Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions

26. Comparative Approach For Localization Of Right Ventricle From Cardiac Mr Images.

27. Compact MR‐compatible ergometer and its application in cardiac MR under exercise stress: A preliminary study.

28. Characterization of critically ill patients with septic shock and sepsis‐associated cardiomyopathy using cardiovascular MRI.

29. Bi-ventricular assessment with cardiovascular magnetic resonance at 5 Tesla: A pilot study

30. Accurate Myocardial Pathology Segmentation with Residual U-Net

31. Deep Learning Based Multi-modal Cardiac MR Image Segmentation

32. Multimodal Cardiac Segmentation Using Disentangled Representation Learning

33. Pulmonic Valve Diseases

34. Regional Cardiac Motion Scoring With Multi-Scale Motion-Based Spatial Attention.

35. Myocardial T1, T2, T2*, and fat fraction quantification via low‐rank motion‐corrected cardiac MR fingerprinting.

36. Improved accuracy and precision with three‐parameter simultaneous myocardial T1 and T2 mapping using multiparametric SASHA.

37. ACR Appropriateness Criteria® Chronic Chest Pain-High Probability of Coronary Artery Disease: 2021 Update.

38. Assessment of segmental agreement of T2 mapping versus triple inversion recovery in detection of acute myocardial edema

39. In Vivo Fibroblast Activation of Systemic Sarcoidosis: A 68 Ga-FAPI-04 PET/CT Imaging Study.

40. In Vivo Fibroblast Activation of Systemic Sarcoidosis: A 68Ga-FAPI-04 PET/CT Imaging Study

41. Evaluation of Left Ventricle Myocardium Detection by a Fully Automatic Segmentation Using Geodesic Active Contour

42. Synthesising Images and Labels Between MR Sequence Types with CycleGAN

43. Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space

44. Left-Ventricle Quantification Using Residual U-Net

46. Acute pericarditis, Graves' disease, and thymic hyperplasia: a case report.

47. Sensitivity of Myocardial Radiomic Features to Imaging Parameters in Cardiac MR Imaging.

48. Cardiac involvement in MRI in young population after COVID‐19: A single tertiary center experience.

49. Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images

50. Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

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