东北大学主页平台李赫--中文主页-- He LI, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Akira FURUKAWA, Shuzo KANASAKI, Yen-Wei CHEN, 3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation, IEICE Transactions on Information and Systems, 2023, E106.D

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李赫

个人信息Personal information

博士生导师
硕士生导师
教师拼音名称：lihe
电子邮箱：
入职时间：2025-10-23
职务：特聘研究员/一级副教授
学历：博士研究生毕业
办公地点：信息学馆B616
性别：男
联系方式：13238256333
学位：工学博士学位
职称：副教授
在职信息：在职
毕业院校：立命馆大学
所属院系：软件学院

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论文成果

He LI, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Akira FURUKAWA, Shuzo KANASAKI, Yen-Wei CHEN, 3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation, IEICE Transactions on Information and Systems, 2023, E106.D

发布时间：2026-03-06 点击次数：

是否译文：否

上一条：Li H, Iwamoto Y, Han X, et al. Weakly-Supervised Liver Lesion Detection in CT Images Using Adversarial Networks[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.

下一条：Li, H., Iwamoto, Y., Han, X., Lin, L., Hu, H., Chen, YW. (2022). An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. Lecture Notes in Computer Science, vol 13438. Springer, Cham. https://doi.org/10.1007/978-3-031-16452-1_21