薛澄，副教授，硕导。2017年获得香港理工大学博士学位，2019-2023年在香港中文大学和香港理工大学担任博士后、研究助理教授。近期研究方向为：医学影像智能分析，手术机器人，医学信息多模态融合，疾病预后分析等。在医学影像分析领域顶刊和顶会TMI，MIA，MICCAI等发表论文十余篇，长期担任多个国际著名期刊会议的编委和审稿人。
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. 招收2025级计算机学院/软件学院硕士研究生，欢迎有自我驱动力的学生报名！
2. 2025年招收东南大学-蒙纳士联合研究生院硕士研究生一名，欢迎申请！
3. 欢迎对AI+医学影像感兴趣的本科生跟组进行全面的科研训练。
4. To date, I have no quotas for oversea students.
医学影像智能分析，医疗机器人，医学信息多模态融合，疾病预后分析等
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)
