{"total":31,"rows":[{"id":"2112.04894","title":"Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer","created":"2021-12-09","cited_by_count":100,"area":null},{"id":"2108.06227","title":"SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation","created":"2021-08-13","cited_by_count":86,"area":null},{"id":"2207.14191","title":"Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation","created":"2022-07-28","cited_by_count":76,"area":null},{"id":"2204.12200","title":"Hypergraph Contrastive Collaborative Filtering","created":"2022-04-26","cited_by_count":63,"area":null},{"id":"2403.18271","title":"Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding","created":"2024-03-27","cited_by_count":48,"area":null},{"id":"2303.06242","title":"HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations","created":"2023-03-10","cited_by_count":44,"area":null},{"id":"2112.09645","title":"Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation","created":"2021-12-17","cited_by_count":43,"area":null},{"id":"2210.02041","title":"Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks","created":"2022-10-05","cited_by_count":38,"area":null},{"id":"2209.00123","title":"Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI","created":"2022-08-31","cited_by_count":14,"area":null},{"id":"2203.14523","title":"Translation Consistent Semi-supervised Segmentation for 3D Medical Images","created":"2022-03-28","cited_by_count":13,"area":null},{"id":"2402.17316","title":"Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation","created":"2024-02-27","cited_by_count":11,"area":null},{"id":"2406.15699","title":"Self-Supervised Alignment Learning for Medical Image Segmentation","created":"2024-06-22","cited_by_count":7,"area":null},{"id":"2204.01712","title":"Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation","created":"2022-04-02","cited_by_count":4,"area":null},{"id":"2307.11604","title":"Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation","created":"2023-07-21","cited_by_count":4,"area":null},{"id":"2309.08888","title":"GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels","created":"2023-09-16","cited_by_count":4,"area":null},{"id":"2312.13628","title":"Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples","created":"2023-12-21","cited_by_count":3,"area":null},{"id":"2407.16128","title":"Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning","created":"2024-07-23","cited_by_count":3,"area":null},{"id":"2202.02371","title":"Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation","created":"2022-02-04","cited_by_count":2,"area":null},{"id":"2203.03587","title":"On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation","created":"2022-03-07","cited_by_count":2,"area":null},{"id":"2308.11903","title":"Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation","created":"2023-08-23","cited_by_count":2,"area":null},{"id":"2309.03469","title":"Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size","created":"2023-09-07","cited_by_count":2,"area":null},{"id":"2411.04493","title":"Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation","created":"2024-11-07","cited_by_count":2,"area":null},{"id":"2505.16625","title":"Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2310.19109","title":"Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal Imagery","created":"2023-10-29","cited_by_count":1,"area":null},{"id":"2506.23038","title":"Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation","created":"2025-06-28","cited_by_count":1,"area":null},{"id":"2111.08651","title":"Diversified Multi-prototype Representation for Semi-supervised Segmentation","created":"2021-11-16","cited_by_count":0,"area":null},{"id":"2201.08779","title":"Contrastive and Selective Hidden Embeddings for Medical Image Segmentation","created":"2022-01-21","cited_by_count":0,"area":null},{"id":"2402.14114","title":"Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation","created":"2024-02-21","cited_by_count":0,"area":null},{"id":"2408.05889","title":"Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning","created":"2024-08-12","cited_by_count":0,"area":null},{"id":"2505.19208","title":"Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation","created":"2025-05-25","cited_by_count":0,"area":null},{"id":"2601.19365","title":"Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation","created":"2026-01-27","cited_by_count":0,"area":null}],"next_cursor":null}