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Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures., , , , , , , and . IEEE Trans. Medical Imaging, 42 (1): 245-256 (2023)HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images., , , and . IEEE Trans. Medical Imaging, 42 (10): 2912-2923 (October 2023)One-Shot Weakly-Supervised Segmentation in 3D Medical Images., , , , , , , , and . IEEE Trans. Medical Imaging, 43 (1): 175-189 (January 2024)CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation., , , , , , , , and . IEEE Trans. Medical Imaging, 40 (2): 699-711 (2021)Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 37 (7): 1562-1573 (2018)WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image., , , , , , , , , and . Medical Image Anal., (2022)CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation., , , , , , , , , and 30 other author(s). Medical Image Anal., (2023)CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation., , , , , , , , , and 30 other author(s). CoRR, (2022)CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images., , , and . ISBI, page 1522-1525. IEEE, (2020)CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation., , , , , , , , and . CoRR, (2020)