Moucheng Xu

According to our database, Moucheng Xu authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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

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, October, 2023

Learning from multiple annotators for medical image segmentation.

Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander

Pattern Recognit., June, 2023

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

2022

Deformably-Scaled Transposed Convolution.

Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander

CoRR, 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

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery.

Mou-Cheng Xu

CoRR, 2020

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.

Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander

CoRR, 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 Ground Truth in Segmentation of Medical Images.

Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bio-inspired Attentive Segmentation of Retinal OCT Imaging.

Georgios Lazaridis, Moucheng Xu, Saman Sadeghi Afgeh, Giovanni Montesano, David Garway-Heath

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

Foveation for Segmentation of Mega-Pixel Histology Images.

Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning To Pay Attention To Mistakes.

Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob

Proceedings of the 31st British Machine Vision Conference 2020, 2020