Yongcheng Yao

Yongcheng is currently a PhD student at the UKRI CDT in Biomedical AI, School of Informatics, University of Edinburgh (UoE), supervised by Prof. Timothy Hospedales and co-supervised by Prof. Sotirios A. Tsaftari . Previously, he was a research assistant at the CU Lab of AI in Radiology (CLAIR), Chinese University of Hong Kong (CUHK), where he worked with Prof. Weitian Chen. He obtained an MScR in Biomedical Artificial Intelligence from UoE in 2024, an MPhil in Imaging and Interventional Radiology from CUHK in 2020, and a BEng in Biomedical Engineering from the South China University of Technology in 2017.

Research Interest

[Computer Vision, Probabilistic ML, Trustworthy AI, Multimodal Learning, Vision Language Model]

[medical image analysis, deep learning, segmentation, registration, classification, model bias & fairness, domain adaption, topological machine learning] (updated on Sep 2024)

Latest News

• [07/2024] A paper “Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics” was accepted @ AMAI’24

• [06/2024] A video on soft tissue morphometrics in human knee is online.

• [01/2024] A work on automatic and quantitative T1rho analysis from knee MRI was accepted for presentation @ISMRM’24.

• [10/2023] A paper on unsupervised domain adaptation for osteoarthritis phenotype classification was online (co-first author).

• [07/2023] Our paper “CartiMorph: a framework for automated knee articular cartilage morphometrics” was accepted for publication in Medical Image Analysis (MedIA).