Moucheng Xu

Orcid: 0000-0003-3368-9871

According to our database1, Moucheng Xu authored at least 17 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging, October, 2023

Learning from multiple annotators for medical image segmentation.
Pattern Recognit., June, 2023

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
CoRR, 2023

2022
Deformably-Scaled Transposed Convolution.
CoRR, 2022

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation.
CoRR, 2022

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
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.
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.
CoRR, 2021

Learning to Address Intra-segment Misclassification in Retinal Imaging.
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.
CoRR, 2020

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.
CoRR, 2020

Foveation for Segmentation of Ultra-High Resolution Images.
CoRR, 2020

Disentangling Human Error from Ground Truth in Segmentation of Medical Images.
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.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

Foveation for Segmentation of Mega-Pixel Histology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning To Pay Attention To Mistakes.
Proceedings of the 31st British Machine Vision Conference 2020, 2020


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