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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研究领域
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人工智能
医疗图像处理
计算机视觉
论文成果
- 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..
- 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.
- 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.
- H. Li et al., "A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images," 2022 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2022, pp. 1-4, doi: 10.1109/ICCE53296.2022.9730129..
- H. Li, Y. Iwamoto, X. Han, A. Furukawa, S. Kanasaki and Y. -W. Chen, "An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 3309-3312, doi: 10.1109/EMBC46164.2021.9629671..
专利
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著作成果
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科研项目
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