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Transformer-Based Annotation Bias-Aware Medical Image Segmentation.

, , , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 24-34. Springer, (2023)

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Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification., , and . CoRR, (2024)Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis., , and . CoRR, (2022)Boundary-Aware Network for Abdominal Multi-Organ Segmentation., , and . CoRR, (2022)Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction., , , and . IEEE Trans. Medical Imaging, 41 (7): 1874-1884 (2022)PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation., , , , and . CoRR, (2020)Transformer-Based Annotation Bias-Aware Medical Image Segmentation., , , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 24-34. Springer, (2023)URL: Combating Label Noise for Lung Nodule Malignancy Grading., , and . DALI@MICCAI, volume 14379 of Lecture Notes in Computer Science, page 1-11. Springer, (2023)Boundary-Aware Network for Kidney Parsing., , , and . CuRIOUS/KiPA/MELA@MICCAI, volume 13648 of Lecture Notes in Computer Science, page 9-17. Springer, (2022)Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation., , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 14-23. Springer, (2023)Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation., , and . MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 650-659. Springer, (2022)