Yongcheng Yao
Scholar

Yongcheng Yao

Google Scholar ID: hXG5NXAAAAAJ
University of Edinburgh
medical image analysismachine learning
Citations & Impact
All-time
Citations
139
 
H-index
5
 
i10-index
3
 
Publications
19
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Open-sourced CartiMorph Toolbox (Oct 2024)
  • - 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.
Miscellany
  • Personal interests and hobbies not mentioned.
Co-authors
0 total
Co-authors: 0 (list not available)