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1, CT图像中新冠肺炎感染区域的自动分割 https://github.com/HiLab-git/COPLE-Net A Noise-robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions from CT Images. IEEE Transactions on Medical Imaging, 2020. |
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2, 多模态磁共振图像脑肿瘤自动分割 https://github.com/taigw/brats17 获MICCAI 2017 脑肿瘤分割挑战赛（BraTS) 第二名(70余个国际参赛队伍)。 Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks with Uncertainty Estimation，Frontiers in Computational Neuroscience, 2019. |
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3，CT图像中鼻咽癌区域自动勾画 https://github.com/HiLab-git/Head-Neck-GTV 获MICCAI 2019 StrucSeg 国际挑战赛鼻咽癌区域分割第二名（20余个国际参赛队伍）。 Automatic Segmentation of Gross Target Volume of asopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention." Neurocomputing, 2020. |
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4，磁共振图像中胎儿大脑区域自动定位、分割和高分辨率重建 https://github.com/gift-surg/fetal_brain_seg An Automated Framework for Localization, Segmentation and Superresolution Reconstruction of Fetal Brain MRI. NeuroImage, 2020. |
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5，不确定性引导的交互式图像分割 https://github.com/HiLab-git/UGIR Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. MICCAI, 2020. |
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6，半监督图像分割算法 https://github.com/HiLab-git/SSL4MIS Semi-supervised Medical Image Segmentation through Dual-task Consistency, AAAI, 2021. |
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