Staff Profile

Biography

Dr. Xueli Chen received her Bachelor of Science in Applied Mathematics from Sun Yat-sen University in 2017 and her Ph.D. in Electrical Engineering from City University of Hong Kong in 2023. She is now a senior lecturer at the School of Science and Technology at Hong Kong Metropolitan University. Her interests are medical image analysis, treatment response, disease prediction, and deep learning.
 

Teaching Areas & Research Interests

• Medical Image Analysis
• Treatment Response & Disease Prediction
• Deep Learning

Academic & Professional Experience

Projects

• Principal Investigator, HKMU R&D Fund, HK$200,000, "Development of 3D ultrasound measurement tools of carotid atherosclerosis based on weighted average of local vessel wall and plaque volume change"  2024 Aug - Now
• Principal Investigator, RGC FDS, HK$722,070, "Development of Interpretable Deep Biomarker for Monitoring Carotid Atherosclerosis Based on 3D Ultrasound Imaging",  2025 Jan - Now
• Principal Investigator, RGC FDS, HK$664,363, "Development of Concept-based Visual State Space Model for Interpretable Ulcerative Colitis Diagnosis",  2026 Jan - Now
• Co-Investigator, HKMU RMG, HK$1,545,000, "Multi-layer intelligent medical network", 2024 Dec - Now

Supervision

• Kan Tsz Hong Michael, undergraduate research assistant
• Chen Zhenyuan, research assistant
• Ethan Lee, M-Phil, co-supervise with Dr. Kevin Hung
• Zhan Zepeng, research assistant
• Alumni: Wang Mengchen, HKMU postgraduate & research assistant, 2023-2025, next position: Jinan Rail Transit Group co. LTD
• Alumni: Tung Shun Yiu Neo, research assistant, 2024-2025, next position: Postgraduate student of The University of Melbourne

I am seeking highly self-motivated Ph.D., MPhil students and research assistants to work on Medical Image Analysis and AI. Interested applicants may email me their CV.

Selected Publications

Book Chapters

• T. Kan, X. Fan, B. Chiu, X. Chen, “Carotid artery segmentation from 3D ultrasound images using contextual YOLO and adaptive prompted SAM 2”, Proc. SPIE Medical Imaging 2026: Image Processing (SPIE), 2026
• X. Fan, X. Chen, L. Yang, C. Yap, R. Qureshi, Q. Dou, M. Yap, M. Shah, “Test-Time Retrieval-Augmented Adaptation for Vision-Language Models”, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
• X. Chen, X. Fan, B. Chiu, “Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis based on Three-Dimensional Ultrasound Imaging”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI oral), 2023
• X. Fan, X. Chen, M. Jiang, et al., “SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Journal Articles

• X. Chen, Y. Zhao, J.D. Spence, B. Chiu, “Quantification of Local Vessel Wall and Plaque Volume Change for Assessment of Effects of Therapies on Carotid Atherosclerosis Based on 3-D Ultrasound Imaging”, Ultrasound in Medicine & Biology, 2023
• X. Chen, M. Lin, H. Cui, Y. Chen, et al., “Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection”, Computer Methods and Programs in Biomedicine, 2020.

Selected Professional & Community Services

• Committee Member, IEEE EMBS Hong Kong-Macau Joint Chapter

Further Information

Link to personal homepage

Link to Google Scholar page

Modified Date: 28 Oct, 2025
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