东北大学主页平台 lihe--Home--Scientific Research

Scientific Research

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Paper Publications

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-....
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..

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李赫

Associate professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates

Name (Pinyin):lihe

E-Mail:

Date of Employment:2025-10-23

Administrative Position:特聘研究员/一级副教授

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:信息学馆B616

Gender:Male

Contact Information:13238256333

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:立命馆大学

Teacher College:软件学院

Other Contact Information

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