Wentian Xu

According to our database, Wentian Xu authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

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 Anal., 2026

2025

Modality-Agnostic Input Channels Enable Segmentation of Brain lesions in Multimodal MRI with Sequences Unavailable During Training.

Anthony P. Addison, Felix Wagner, Wentian Xu, Natalie Voets, Konstantinos Kamnitsas

CoRR, September, 2025

Specialised or Generic? Tokenization Choices for Radiology Language Models.

Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas

CoRR, August, 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

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

2023

Revisiting Implicit Neural Representations in Low-Level Vision.

Wentian Xu, Jianbo Jiao

CoRR, 2023

2021

Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization Task.

Aniwat Phaphuangwittayakul, Yi Guo, Fangli Ying, Wentian Xu, Zheng Zheng

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021