Ziyun Liang Ph.D. Student Department of Engineering Science, University of Oxford, Oxford, UK. Email: ziyun.liang@eng.ox.ac.uk

Welcome to my personal website! I am a PhD student in the Institute of Biomedical Engineering at the University of Oxford, supervised by Prof. Konstantinos Kamnitsas. Before coming to Oxford, I received my M.S. degree in the department of control science from Shanghai Jiao Tong University, supervised by Prof. Jie Yang and Prof. Yun Gu, and I receieved my B.S. degree from Huazhong University of Science and Technology.

My research interest focus on developing machine learning solutions to improve the reliability of medical image analysis algorithms for safe clinical deployment.

News

[May 2024] One paper early accepted by MICCAI 2024!
[April 2024] One co-authored paper accepted by MIDL 2024.
[Aug 2023] One paper accepted by MMMI workshop at MICCAI 2023.
[Oct 2022] I joined Prof. Konstantinos Kamnitsas's lab as a Ph.D. student at the University of Oxford!

Publications [Google Scholar]

	IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas. MICCAI , 2024 [paper][code]
	Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas. MMMI, MICCAI , 2023 [paper][code]
	Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation Ziyun Liang, Yun Gu, Jie Yang. IEEE International Conference on Image Processing (ICIP), 2021 [paper]

Honors & Awards

Honour graduate, Shanghai Jiao Tong Unversity, 2022
Merit scholarship, Shanghai Jiao Tong Unversity, 2022
Honour graduate, Huazhong University of Science and Technology, 2019
National scholarship, Huazhong University of Science and Technology, 2016, 2018