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1. Future Horizons: The Potential Role of Artificial Intelligence in Cardiology.

2. Cardiac MRI-Derived Inferior Vena Cava Cross-Sectional Area Correlates with Measures of Fontan-Associated Liver Disease.

3. Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.

4. Social media to enhance engagement and science dissemination during in-person and virtual medical conferences: the SCMR 2020 and 2021 experiences: a report of the SCMR social media task force.

5. Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients.

6. Anatomical knowledge based level set segmentation of cardiac ventricles from MRI.

7. Convexity preserving level set for left ventricle segmentation.

8. Automatic cardiac MRI segmentation and permutation-invariant pathology classification using deep neural networks and point clouds.

9. Temporally coherent cardiac motion tracking from cine MRI: Traditional registration method and modern CNN method.

10. RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.

11. Dynamic pixel-wise weighting-based fully convolutional neural networks for left ventricle segmentation in short-axis MRI.

12. An iterative multi‐path fully convolutional neural network for automatic cardiac segmentation in cine MR images.

13. Dilated-Inception Net: Multi-Scale Feature Aggregation for Cardiac Right Ventricle Segmentation.

14. The value of magnetic resonance imaging in evaluation of myocardial and liver iron overload in a thalassaemia endemic population: a report from Northeastern Thailand.

15. The value of magnetic resonance imaging in evaluation of myocardial and liver iron overload in a thalassaemia endemic population: a report from Northeastern Thailand.

16. The value of magnetic resonance imaging in evaluation of myocardial and liver iron overload in a thalassaemia endemic population: a report from Northeastern Thailand.

17. The value of magnetic resonance imaging in evaluation of myocardial and liver iron overload in a thalassaemia endemic population: a report from Northeastern Thailand.

18. The value of magnetic resonance imaging in evaluation of myocardial and liver iron overload in a thalassaemia endemic population: a report from Northeastern Thailand.

19. Discriminative dictionary learning for local LV wall motion classification in cardiac MRI.

20. SegNet-based left ventricular MRI segmentation for the diagnosis of cardiac hypertrophy and myocardial infarction.

21. The value of magnetic resonance imaging in evaluation of myocardial and liver iron overload in a thalassaemia endemic population: a report from Northeastern Thailand.

22. Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers.

23. A multi-purpose open-source triggering platform for magnetic resonance.

24. Isotropic Reconstruction of MR Images Using 3D Patch-Based Self-Similarity Learning.

25. Fast segmentation of the left ventricle in cardiac MRI using dynamic programming.

26. Unsupervised Myocardial Segmentation for Cardiac BOLD.

27. A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes.

28. Fully connected network with multi-scale dilation convolution module in evaluating atrial septal defect based on MRI segmentation.

29. Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences.

30. Left ventricle segmentation via two-layer level sets with circular shape constraint.

31. Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.

32. Mathematical model in left ventricle segmentation.

33. Right ventricle segmentation from cardiac MRI: A collation study.

34. Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation.

35. Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI.

36. Accurate reconstruction of 3D cardiac geometry from coarsely-sliced MRI.

37. A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images.

38. A dynamic elastic model for segmentation and tracking of the heart in MR image sequences

39. Localization and Segmentation of Left Ventricle in Cardiac Cine-MR Images.

40. TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation.

41. Cardiac magnetic resonance imaging in small rodents using clinical 1.5T and 3.0T scanners

42. Cardiac function estimation from MRI using a heart model and data assimilation: Advances and difficulties

43. Influence of high magnetic field strengths and parallel acquisition strategies on image quality in cardiac 2D CINE magnetic resonance imaging: comparison of 1.5 T vs. 3.0 T.

44. Anatomical-MRI Correlations in Adults and Children with Arrhythmogenic Right Ventricular Cardiomyopathy.

45. A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization.