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multi-organ segmentation

20 papers

MOS

Papers

A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation MIDL 2026 Divide, Conquer, and Aggregate: Asymmetric Experts for Class-Imbalanced Semi-Supervised Medical Image Segmentation CVPR 2026 Zero-LEAD: Source-Free Universal Domain Adaptation for Abdominal Multi-Organ Segmentation WACV 2026 A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation CVPR 2025 AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation WACV 2025 Breaking Grid Constraints: Dynamic Graph Reconstruction Network for Multi-organ Segmentation ICCV 2025 Effective Disjoint Representational Learning for Anatomical Segmentation MIDL 2025 Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation ICCV 2025 Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation AAAI 2025 Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior ICCV 2025 CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation NeurIPS 2024 Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training MIDL 2024 AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks NeurIPS 2023 CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation AAAI 2023 MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery CVPR 2023 AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation NeurIPS 2022 UNETR: Transformers for 3D Medical Image Segmentation WACV 2022 DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets CVPR 2021 Spatial Context-Aware Self-Attention Model for Multi-Organ Segmentation WACV 2021 Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation ICCV 2019