- Paper “Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics” accepted @ AMAI’24 (Jul 2024)
- Work on automatic and quantitative T1rho analysis from knee MRI accepted for presentation @ ISMRM’24 (Jan 2024)
- Paper on unsupervised domain adaptation for osteoarthritis phenotype classification online (co-first author, Oct 2023)
- Paper “CartiMorph: a framework for automated knee articular cartilage morphometrics” accepted for publication in Medical Image Analysis (MedIA) (Jul 2023)
Research Experience
- PhD student at UKRI CDT in Biomedical AI, School of Informatics, University of Edinburgh (2024-present)
- Research assistant at CU Lab of AI in Radiology (CLAIR), Chinese University of Hong Kong (previous position)
Education
- University of Edinburgh, PhD in Biomedical AI, supervised by Prof. Timothy Hospedales and co-supervised by Prof. Sotirios A. Tsaftari (2024-present)
- University of Edinburgh, MScR in Biomedical Artificial Intelligence (2024)
- Chinese University of Hong Kong, MPhil in Imaging and Interventional Radiology, worked with Prof. Weitian Chen (2020)
- South China University of Technology, BEng in Biomedical Engineering (2017)
Background
Research interests include Computer Vision, Probabilistic ML, Trustworthy AI, Multimodal Learning, and Vision Language Model. Specializes in medical image analysis, deep learning, segmentation, registration, classification, model bias & fairness, domain adaptation, and topological machine learning.