薛澄，副教授，碩導。2017年獲得香港理工大學博士學位，2019-2023年在香港中文大學和香港理工大學擔任博士後、研究助理教授。近期研究方向為：醫學影像智能分析，手術機器人，醫學信息多模态融合，疾病預後分析等。在醫學影像分析領域頂刊和頂會TMI，MIA，MICCAI等發表論文十餘篇，長期擔任多個國際著名期刊會議的編委和審稿人。
I am a tenure-track associate professor in the School of Computer Science and Engineering at Southeast University. Before that, I was a Research Assistant Professor at Hong Kong Polytechnic University and a postdoctoral researcher in the Department of Computer Science and Engineering at the Chinese University of Hong Kong advised by Prof. Pheng Ann Heng. My research interest lies in deep learning and medical image analysis.
1. 2024級計算機學院/軟件學院碩士研究生仍有2個名額，歡迎有自我驅動力的學生報名！
2. 2024年招收bet356手机版唯一官网-蒙納士聯合研究生院碩士研究生一名，歡迎申請！
3. 歡迎對AI+醫學影像感興趣的本科生跟組進行全面的科研訓練。
4. To date, I have no quotas for oversea students.
醫學影像智能分析，醫療機器人，醫學信息多模态融合，疾病預後分析等
Ph. D., Department of Health Technology and Informatics, Hong Kong Polytechnic University. (2012 - 2017)
B. Eng., Department of Mechanical Engineering and Automation, Jilin University. (2008 - 2012)
Tenure-Track Associate Professor, School of Computer Science and Engineering, Southeast University. (2023 - present)
Research Assistant Professor, Department of Health Technology and Informatics, Hong Kong Polytechnic University. (2022)
Postdoctoral Researcher, Department of Computer Science and Engineering, Chinese University of Hong Kong (2017 - 2022)
Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng. Robust medical image classification from noisy labeled data with global and local representation guided co-training. IEEE Transactions on Medical Imaging 41, no. 6 (2022): 1371-1382. (JCR Q1)
Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng, Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images, Medical image analysis, 70, 101989. (JCR Q1)
Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, and Pheng-Ann Heng. Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),pp. 579-588. Springer, Cham, 2020.
Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, and Pheng-Ann Heng. Robust learning at noisy labeled medical images: Applied to skin lesion classification. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), pp. 1280-1283. IEEE, 2019.
Fuk-hay Tang, Cheng Xue, Maria YY Law, Chui-ying Wong, Tze-hei Cho, and Chun-kit Lai. Prognostic Prediction of Cancer Based on Radiomics Features of Diagnostic Imaging: The Performance of Machine Learning Strategies. Journal of Digital Imaging (2023): 1-10. (JCR Q1)
