% Key papers for Semi-supervised medical segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2021_semi_1375,
  title = {{Semi-supervised Medical Image Segmentation through Dual-task Consistency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/08801-semi-supervised-medical-image-segmentation-through-dual-task-consistency/},
}

@inproceedings{cvpr2019_data_14007,
  title = {{Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_bidirectional_20475,
  title = {{Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23112},
}

@inproceedings{cvpr2023_pseudo_21946,
  title = {{Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22627},
}

@inproceedings{cvpr2023_mcf_21478,
  title = {{MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21405},
}

@inproceedings{cvpr2020_focalmix_15558,
  title = {{FocalMix: Semi-Supervised Learning for 3D Medical Image Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_boostmis_18378,
  title = {{BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2022_enhancing_2042,
  title = {{Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03099-enhancing-pseudo-label-quality-for-semi-supervised-domain-generalized-medical-image-segmentation/},
}

@inproceedings{cvpr2024_adaptive_22724,
  title = {{Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29741},
}

@inproceedings{cvpr2022_cross_18555,
  title = {{Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_contrastive_59596,
  title = {{Contrastive learning of global and local features for medical image segmentation with limited annotations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/19004},
}

@inproceedings{aaai2019_a_101666,
  title = {{A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4381},
}

@inproceedings{neurips2023_rethinking_69005,
  title = {{Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70867},
}

@inproceedings{cvpr2023_magicnet_21512,
  title = {{MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23111},
}

@inproceedings{cvpr2024_constructing_23021,
  title = {{Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31711},
}

@inproceedings{cvpr2023_orthogonal_21791,
  title = {{Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21444},
}

@inproceedings{cvpr2025_dycon_26028,
  title = {{DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34987},
}

@inproceedings{aaai2023_semi_4664,
  title = {{Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25890},
}

@inproceedings{cvpr2022_rethinking_19718,
  title = {{Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_ph_24404,
  title = {{PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30539},
}

@inproceedings{cvpr2025_beta_28186,
  title = {{beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33464},
}

@inproceedings{cvpr2025_annotation_25488,
  title = {{Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34705},
}

@inproceedings{cvpr2025_enhancing_26143,
  title = {{Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34955},
}

@inproceedings{aaai2024_combinatorial_5427,
  title = {{Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28007},
}

@inproceedings{aaai2025_gapmatch_9300,
  title = {{GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33919},
}

@inproceedings{cvpr2025_a_25367,
  title = {{A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33219},
}

@inproceedings{cvpr2025_steady_27749,
  title = {{Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33861},
}

@inproceedings{aaai2025_neighbor_10095,
  title = {{Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32776},
}

@inproceedings{cvpr2025_boost_25607,
  title = {{Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33115},
}

@inproceedings{aaai2024_semi_7316,
  title = {{Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29060},
}

@inproceedings{neurips2024_semi_74147,
  title = {{Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93394},
}

@inproceedings{icml2025_graphcl_47232,
  title = {{GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45355},
}

@inproceedings{neurips2025_vq_76221,
  title = {{VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Gt8iKyg12u},
}

@inproceedings{aaai2026_bidirectional_101116,
  title = {{Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37417},
}

@inproceedings{aaai2026_dualfete_107656,
  title = {{DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40008},
}

@inproceedings{icml2026_are_53018,
  title = {{Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=bGxMpQsIuN},
}