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Moucheng Xu
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2020 – today
- 2024
- [j4]Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander:
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement. Medical Image Anal. 93: 103098 (2024) - [j3]Moucheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob:
Expectation maximisation pseudo labels. Medical Image Anal. 94: 103125 (2024) - [i13]Moucheng Xu, Evangelos Chatzaroulas, Luc McCutcheon, Abdul Ahad, Hamzah Azeem, Janusz Marecki, Ammar Anwar:
In-Context Ensemble Improves Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations. CoRR abs/2409.15867 (2024) - 2023
- [j2]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:
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138: 109400 (2023) - [j1]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob:
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. IEEE Trans. Medical Imaging 42(10): 2988-2999 (2023) - [i12]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob:
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations. CoRR abs/2305.01747 (2023) - 2022
- [c8]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:
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis. DGM4MICCAI@MICCAI 2022: 106-116 - [c7]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob:
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. MICCAI (5) 2022: 580-590 - [c6]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob:
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. MIDL 2022: 1413-1429 - [i11]Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander:
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation. CoRR abs/2203.06425 (2022) - [i10]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob:
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. CoRR abs/2203.10196 (2022) - [i9]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob:
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation. CoRR abs/2208.04435 (2022) - [i8]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:
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis. CoRR abs/2208.14141 (2022) - [i7]Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander:
Deformably-Scaled Transposed Convolution. CoRR abs/2210.09446 (2022) - 2021
- [c5]Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander:
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) 2021: 482-492 - [i6]Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander:
Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR abs/2104.12138 (2021) - [i5]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob:
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation. CoRR abs/2110.12179 (2021) - 2020
- [c4]Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. BMVC 2020 - [c3]Georgios Lazaridis, Moucheng Xu, Saman Sadeghi Afgeh, Giovanni Montesano, David Garway-Heath:
Bio-inspired Attentive Segmentation of Retinal OCT Imaging. OMIA@MICCAI 2020: 1-10 - [c2]Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Mega-Pixel Histology Images. MICCAI (5) 2020: 561-571 - [c1]Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander:
Disentangling Human Error from Ground Truth in Segmentation of Medical Images. NeurIPS 2020 - [i4]Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Ultra-High Resolution Images. CoRR abs/2007.15124 (2020) - [i3]Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. CoRR abs/2007.15131 (2020) - [i2]Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR abs/2007.15963 (2020) - [i1]Mou-Cheng Xu:
Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery. CoRR abs/2011.08129 (2020)
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last updated on 2024-10-17 20:28 CEST by the dblp team
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