Learning To Pay Attention To Mistakes. - Moucheng Xu; Neil Oxtoby; Daniel C. Alexander; Joseph Jacob (BMVC, 2020)

Foveation for Segmentation of Mega-Pixel Histology Images. - Chen Jin; Ryutaro Tanno; Moucheng Xu; Thomy Mertzanidou; Daniel C. Alexander (MICCAI (5), 2020)

Bio-inspired Attentive Segmentation of Retinal OCT Imaging. - Georgios Lazaridis; Moucheng Xu; Saman Sadeghi Afgeh; Giovanni Montesano; David Garway-Heath (OMIA@MICCAI, 2020)

Disentangling Human Error from Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Chen Jin; Joseph Jacob; Olga Cicarrelli; Frederik Barkhof; Daniel C. Alexander (NeurIPS, 2020)

Foveation for Segmentation of Ultra-High Resolution Images. - Chen Jin; Ryutaro Tanno; Moucheng Xu; Thomy Mertzanidou; Daniel C. Alexander (CoRR, 2020)

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Mou-Cheng Xu; Chen Jin; Joseph Jacob; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (CoRR, 2020)

Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery. - Mou-Cheng Xu (CoRR, 2020)

Learning to Address Intra-segment Misclassification in Retinal Imaging. - Yukun Zhou; Moucheng Xu; Yipeng Hu; Hongxiang Lin; Joseph Jacob; Pearse A. Keane; Daniel C. Alexander (MICCAI (1), 2021)

MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation. - Mou-Cheng Xu; Yukun Zhou; Chen Jin; Stefano B. Blumberg; Frederick J. Wilson; Marius de Groot; Neil P. Oxtoby; Daniel C. Alexander; Joseph Jacob (CoRR, 2021)

Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis. - Ashkan Pakzad; Mou-Cheng Xu; Wing Keung Cheung; Marie Vermant; Tinne Goos; Laurens J. De Sadeleer; Stijn E. Verleden; Wim A. Wuyts; John R. Hurst; Joseph Jacob (DGM4MICCAI@MICCAI, 2022)

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. - Mou-Cheng Xu; Yukun Zhou; Chen Jin; Marius de Groot; Daniel C. Alexander; Neil P. Oxtoby; Yipeng Hu; Joseph Jacob (MICCAI (5), 2022)

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. - Mou-Cheng Xu; Yukun Zhou; Chen Jin; Stefano B. Blumberg; Frederick J. Wilson; Marius de Groot; Daniel C. Alexander; Neil P. Oxtoby; Joseph Jacob (MIDL, 2022)

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation. - Yukun Zhou; Moucheng Xu; Yipeng Hu; Stefano B. Blumberg; An Zhao; Siegfried K. Wagner; Pearse A. Keane; Daniel C. Alexander (CoRR, 2022)

Deformably-Scaled Transposed Convolution. - Stefano B. Blumberg; Daniele Ravì; Mou-Cheng Xu; Matteo Figini; Iasonas Kokkinos; Daniel C. Alexander (CoRR, 2022)

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations. - Mou-Cheng Xu; Yukun Zhou; Chen Jin; Marius de Groot; Daniel C. Alexander; Neil P. Oxtoby; Yipeng Hu; Joseph Jacob (CoRR, 2023)

Learning from multiple annotators for medical image segmentation. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Yawen Huang; Kevin Bronik; Chen Jin; Joseph Jacob; Yefeng Zheng 001; Ling Shao 001; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (Pattern Recognit., 2023)

MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. - Mou-Cheng Xu; Yukun Zhou; Chen Jin; Marius de Groot; Daniel C. Alexander; Neil P. Oxtoby; Joseph Jacob (IEEE Trans. Medical Imaging, 2023)

In-Context Ensemble Improves Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations. - Moucheng Xu; Evangelos Chatzaroulas; Luc McCutcheon; Abdul Ahad; Hamzah Azeem; Janusz Marecki; Ammar Anwar (CoRR, 2024)

MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels. - Moucheng Xu; Yukun Zhou; Tobias Goodwin-Allcock; Kimia Firoozabadi; Joseph Jacob; Daniel C. Alexander; Paddy J. Slator (CoRR, 2024)

Expectation maximisation pseudo labels. - Moucheng Xu; Yukun Zhou; Chen Jin; Marius de Groot; Daniel C. Alexander; Neil P. Oxtoby; Yipeng Hu; Joseph Jacob (Medical Image Anal., 2024)

CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement. - Yukun Zhou; Moucheng Xu; Yipeng Hu; Stefano B. Blumberg; An Zhao; Siegfried K. Wagner; Pearse A. Keane; Daniel C. Alexander (Medical Image Anal., 2024)

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis. - An Zhao; Moucheng Xu; Ahmed H. Shahin; Wim A. Wuyts; Mark G. Jones; Joseph Jacob; Daniel C. Alexander (CoRR, 2025)