Paper Publications
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.
Hits: Release Time:2026-03-06
Title of Paper: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.
Translation or Not:No

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

Other Contact Information
NO. 3-11, Wenhua Road, Heping District, Shenyang, P. R. China
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