Browse by UCL people
Group by: Type | Date
Number of items: 9.
Article
Zhang, L;
Tanno, R;
Xu, MC;
Jin, C;
Jacob, J;
Ciccarelli, O;
Barkhof, F;
(2020)
Disentangling human error from the ground truth in segmentation of medical images.
Advances in Neural Information Processing Systems
, 2020-D
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Zhou, Yukun;
Wagner, Siegfried K;
Chia, Mark A;
Zhao, An;
Woodward-Court, Peter;
Xu, Moucheng;
Struyven, Robbert;
... Keane, Pearse A; + view all
(2022)
AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline.
Translational Vision Science & Technology
, 11
(7)
, Article 12. 10.1167/tvst.11.7.12.
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Proceedings paper
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Jin, C;
Tanno, R;
Xu, M;
Mertzanidou, T;
Alexander, DC;
(2020)
Foveation for Segmentation of Mega-Pixel Histology Images.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 561-571).
Springer Nature: Cham, Switzerland.
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Lazaridis, G;
Xu, M;
Afgeh, SS;
Montesano, G;
Garway-Heath, D;
(2020)
Bio-inspired Attentive Segmentation of Retinal OCT Imaging.
In: Fu, H and Garvin, MK and MacGillivray, T and Xu, Y and Zheng, Y, (eds.)
Ophthalmic Medical Image Analysis: 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings.
(pp. pp. 1-10).
Springer: Cham, Switzerland.
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Xu, Mou-Cheng;
Zhou, Yu-Kun;
Jin, Chen;
Blumberg, Stefano B;
Wilson, Frederick J;
deGroot, Marius;
Alexander, Daniel C;
... Jacob, Joseph; + view all
(2022)
Learning Morphological Feature Perturbations for
Calibrated Semi-Supervised Segmentation.
In:
Proceedings of MIDL 2022.
MLResearchPress
(In press).
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Xu, Mou-Cheng;
Zhou, Yukun;
Jin, Chen;
Groot, Marius de;
Alexander, Daniel C;
Oxtoby, Neil P;
Hu, Yipeng;
(2022)
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation.
In:
Proceedings of 25th International Conference on Medical Image Computing and Computer Assisted Intervention 2022.
Springer Nature: Cham, Switzerland.
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Xu, M-C;
Oxtoby, N;
Alexander, DC;
Jacob, J;
(2020)
Learning To Pay Attention To Mistakes.
In:
(Proceedings) The 31st British Machine Vision Virtual Conference.
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Zhou, Y;
Xu, M;
Hu, Y;
Lin, H;
Jacob, J;
Keane, PA;
Alexander, DC;
(2021)
Learning to Address Intra-segment Misclassification in Retinal Imaging.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021.
(pp. pp. 482-492).
Springer: Cham, Switzerland.
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Thesis
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Xu, Mou Cheng;
(2023)
Deep Learning with Limited Labels for Medical Imaging.
Doctoral thesis (Ph.D), UCL (University College London).
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