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 final year 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.

I’m passionate about driving AI research that creates real-world impact, bridging the gap between cutting-edge methods and practical applications. My doctoral research focuses on computer vision for medical image analysis, aiming to improve the reliability of AI models for clinical deployment. My research topics include anomaly detection and segmentation, diffusion models, language-guided segmentation, and multimodal learning with vision–language models (VLMs).

News

[Feb 2026] Our paper on out-of-distribution Detection is accepted at CVPR 2026!
[Jan 2026] Our paper on interactive segmentation is accepted at ICLR 2026!
[Oct 2025] Our work is featured by the Department of Engineering Science, University of Oxford. Read article: Link.
[Oct 2025] Our paper IterMask3D wins the BEST PAPER AWARD for MedIA MICCAI 2024 Special Issue!

[July 2025] Our paper IterMask3D is accepted at Medical Image Analysis journal(IF=11.8).
[July 2024] Our paper IterMask² is selected as oral presentation.
[May 2024] Our paper IterMask² is 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]

	IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MRI Ziyun Liang, Xiaoqing Guo, Wentian Xu, Yasin Ibrahim, Natalie Voets, Pieter M Pretorius, J. Alison Noble, Konstantinos Kamnitsas. Medical Image Analysis , 2025 [paper][code]
	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

Elsevier-MedIA MICCAI 2024 Special Issue Best Paper Award, Medical Image Computing and Computer Assisted Intervention Society, 2025
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