{"total":27,"rows":[{"id":"2211.03062","title":"MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images","created":"2022-11-06","cited_by_count":22,"area":null},{"id":"2208.12881","title":"Multi-Modality Cardiac Image Computing: A Survey","created":"2022-08-26","cited_by_count":19,"area":null},{"id":"2307.04421","title":"Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference","created":"2023-07-10","cited_by_count":18,"area":null},{"id":"2208.09350","title":"PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation","created":"2022-08-19","cited_by_count":14,"area":null},{"id":"2406.11445","title":"Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey","created":"2024-06-17","cited_by_count":14,"area":null},{"id":"2506.00679","title":"A versatile foundation model for cine cardiac magnetic resonance image analysis tasks","created":"2025-05-31","cited_by_count":12,"area":null},{"id":"2208.06643","title":"Recent Progress in Transformer-based Medical Image Analysis","created":"2022-08-13","cited_by_count":9,"area":null},{"id":"2305.17937","title":"Attention Mechanisms in Medical Image Segmentation: A Survey","created":"2023-05-29","cited_by_count":9,"area":null},{"id":"2209.00726","title":"Learning correspondences of cardiac motion from images using biomechanics-informed modeling","created":"2022-09-01","cited_by_count":8,"area":null},{"id":"2301.04882","title":"ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation","created":"2023-01-12","cited_by_count":8,"area":null},{"id":"2302.03537","title":"Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation","created":"2023-02-07","cited_by_count":7,"area":null},{"id":"2503.16616","title":"Progressive Test Time Energy Adaptation for Medical Image Segmentation","created":"2025-03-20","cited_by_count":5,"area":null},{"id":"2307.07298","title":"3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks","created":"2023-07-14","cited_by_count":4,"area":null},{"id":"2501.05241","title":"Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion","created":"2025-01-09","cited_by_count":4,"area":null},{"id":"2406.13237","title":"ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation","created":"2024-06-19","cited_by_count":3,"area":null},{"id":"2507.02289","title":"CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR","created":"2025-07-03","cited_by_count":3,"area":null},{"id":"2503.19005","title":"Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging","created":"2025-03-24","cited_by_count":2,"area":null},{"id":"2506.15549","title":"CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation","created":"2025-06-18","cited_by_count":2,"area":null},{"id":"2306.14725","title":"Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2409.12792","title":"Multi-Source and Multi-Sequence Myocardial Pathology Segmentation Using a Cascading Refinement CNN","created":"2024-09-19","cited_by_count":1,"area":null},{"id":"2503.22890","title":"MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation","created":"2025-03-28","cited_by_count":1,"area":null},{"id":"2507.19165","title":"Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2511.14702","title":"Seeing Beyond the Image: ECG and Anatomical Knowledge-Guided Myocardial Scar Segmentation from Late Gadolinium-Enhanced Images","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2502.03272","title":"Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans","created":"2025-02-05","cited_by_count":0,"area":null},{"id":"2605.08724","title":"SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.16393","title":"Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2608.29246","title":"The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification","created":"2026-08-29","cited_by_count":0,"area":null}],"next_cursor":null}