Ziyun Liang - RankMe

16 papers A 1B 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI. Medical Image Anal. Ziyun Liang, Xiaoqing Guo, Wentian Xu, Yasin Ibrahim, Natalie Voets, Pieter M. Pretorius, J. Alison Noble, Konstantinos Kamnitsas
2026	J	`jnl`	The Invisible Gorilla Effect in Out-of-distribution Detection. CoRR Harry Anthony, Ziyun Liang, Hermione Warr, Konstantinos Kamnitsas
2025	J	`jnl`	Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation. CoRR Wentian Xu, Ziyun Liang, Harry Anthony, Yasin Ibrahim, Felix Cohen, Guang Yang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Konstantinos Kamnitsas
2025	A	`conf`	Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. WACV Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas
2025	J	`jnl`	IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR. CoRR Ziyun Liang, Xiaoqing Guo, Wentian Xu, Yasin Ibrahim, Natalie Voets, Pieter M. Pretorius, J. Alison Noble, Konstantinos Kamnitsas
2024	—	`conf`	$\mathrm {IterMask^2}$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. MICCAI (8) Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas
2024	—	`conf`	Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. MIDL 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
2024	J	`jnl`	Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. CoRR 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
2024	J	`jnl`	Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. CoRR Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas
2024	J	`jnl`	IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. CoRR Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas
2023	J	`jnl`	Learning for retinal image quality assessment with label regularization. Comput. Methods Programs Biomed. Tianjiao Guo, Ziyun Liang, Yun Gu, Kun Liu, Xun Xu, Jie Yang, Qi Yu
2023	—	`conf`	Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
2023	J	`jnl`	Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. CoRR Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
2021	J	`jnl`	Deep multi-task framework for optic disc and fovea detection. J. Electronic Imaging Tianjiao Guo, Ziyun Liang, Yun Gu, Jie Yang, Qi Yu
2021	B	`conf`	Hardmix: A Regularization Method to Mitigate the Large Shift in Few-Shot Domain Adaptation. ICIP Ziyun Liang, Yun Gu, Jie Yang
2021	—	`conf`	Homography Estimation Network Based on Dense Correspondence. ICONIP (6) Xiaohang Yang, Lingtong Kong, Ziyun Liang, Jie Yang