东北大学主页平台李赫--Home--Paper Publications

Paper Publications

[1].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..
[2].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.
[3].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.
[4].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..
[5].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:

Status:Employed

Alma Mater:立命馆大学

College:软件学院

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