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Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency., , , , and . Pattern Recognit., (2024)Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency., , , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 33-42. Springer, (2023)Medical Image Segmentation using Squeeze-and-Expansion Transformers., , , , , and . IJCAI, page 807-815. ijcai.org, (2021)Sam-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching., , , , , and . ISBI, page 1-5. IEEE, (2024)3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers., , , , , , , , , and 5 other author(s). CoRR, (2023)PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation., , , , , and . CoRR, (2022)PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation., , , , , , , , and . CoRR, (2022)Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer., , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 820-833. PMLR, (2022)SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma., , , , , , , , , and 32 other author(s). CoRR, (2023)Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation., , , , , , , and . MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 749-758. Springer, (2023)