This digital poster session showcases recent advances in segmentation for cardiac and vascular MRI, with a strong emphasis on automation, robustness, and clinical translation. The abstracts span ventricular and myocardial segmentation, and pulmonary and aortic vessel analysis. Methodological themes include inline and real-time workflows, anatomy-aware and perfusion-informed learning, foundation and semi-supervised models, cross-center generalization, and visualization frameworks integrating AI and VR. These contributions highlight how modern segmentation approaches are enabling reproducible functional assessment, hemodynamic analysis, and disease characterization across diverse cardiovascular MRI applications.

Skill Level: Intermediate