Self-Attention Recurrent Summarization Network with Reinforcement Learning for Video Summarization Task. - Aniwat Phaphuangwittayakul; Yi Guo 009; Fangli Ying; Wentian Xu; Zheng Zheng (ICME, 2021)

Revisiting Implicit Neural Representations in Low-Level Vision. - Wentian Xu; Jianbo Jiao (CoRR, 2023)

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 001; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Natalie Voets; Abhirup Banerjee; Konstantinos Kamnitsas (MIDL, 2024)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. - Felix Wagner 001; Wentian Xu; Pramit Saha; Ziyun Liang; Daniel Whitehouse; David K. Menon; Natalie Voets; J. Alison Noble; Konstantinos Kamnitsas (CoRR, 2024)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. - Felix Wagner 001; Wentian Xu; Pramit Saha; Ziyun Liang; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Natalie Voets; J. Alison Noble; Konstantinos Kamnitsas (WACV, 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, 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, 2025)

Specialised or Generic? Tokenization Choices for Radiology Language Models. - Hermione Warr; Wentian Xu; Harry Anthony; Yasin Ibrahim; Daniel R. McGowan; Konstantinos Kamnitsas (CoRR, 2025)