Ziyun Liang

According to our database, Ziyun Liang authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR.

Ziyun Liang, Xiaoqing Guo, Wentian Xu, Yasin Ibrahim, Natalie Voets, Pieter M. Pretorius, J. Alison Noble, Konstantinos Kamnitsas

CoRR, April, 2025

Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation.

Wentian Xu, Ziyun Liang, Harry Anthony, Yasin Ibrahim, Felix Cohen, Guang Yang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Konstantinos Kamnitsas

CoRR, March, 2025

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities.

Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities.

Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas

CoRR, 2024

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI.

Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas

CoRR, 2024

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation.

Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

$\mathrm {IterMask^2}$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI.

Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Learning for retinal image quality assessment with label regularization.

Tianjiao Guo, Ziyun Liang, Yun Gu, Kun Liu, Xun Xu, Jie Yang, Qi Yu

Comput. Methods Programs Biomed., 2023

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI.

Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2021

Deep multi-task framework for optic disc and fovea detection.

Tianjiao Guo, Ziyun Liang, Yun Gu, Jie Yang, Qi Yu

J. Electronic Imaging, 2021

Homography Estimation Network Based on Dense Correspondence.

Xiaohang Yang, Lingtong Kong, Ziyun Liang, Jie Yang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation.

Ziyun Liang, Yun Gu, Jie Yang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021