Browse by UCL people
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Number of items: 14.
Article
Fu, Yunguan;
Li, Yiwen;
Saeed, Shaheer U;
Clarkson, Matthew J;
Hu, Yipeng;
(2023)
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models.
Machine Learning for Biomedical Imaging
, 2
(SI)
pp. 507-546.
10.59275/j.melba.2023-fbe4.
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Fu, Y;
Brown, NM;
Saeed, SU;
Casamitjana, A;
Baum, ZMC;
Delaunay, R;
Yang, Q;
... Hu, Y; + view all
(2020)
DeepReg: a deep learning toolkit for medical image registration.
The Journal of Open Source Software
, 5
(55)
, Article 2705. 10.21105/joss.02705.
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Laterre, A;
Fu, Y;
Jabri, MK;
Cohen, A-S;
Kas, D;
Hajjar, K;
Dahl, TS;
... Beguir, K; + view all
(2018)
Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization.
Advances in Neural Information Processing Systems 31 (NeurIPS 2018)
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Li, Yiwen;
Fu, Yunguan;
Gayo, Iani JMB;
Yang, Qianye;
Min, Zhe;
Saeed, Shaheer U;
Yan, Wen;
... Hu, Yipeng; + view all
(2023)
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration.
Medical Image Analysis
, Article 102935. 10.1016/j.media.2023.102935.
(In press).
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Saeed, Shaheer U;
Ramalhinho, João;
Pinnock, Mark;
Shen, Ziyi;
Fu, Yunguan;
Montaña-Brown, Nina;
Bonmati, Ester;
... Hu, Yipeng; + view all
(2024)
Active learning using adaptable task-based prioritisation.
Medical Image Analysis
, 95
, Article 103181. 10.1016/j.media.2024.103181.
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Proceedings paper
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Fu, Yunguan;
Li, Yiwen;
Saeed, Shaheer U;
Clarkson, Matthew J;
Hu, Yipeng;
(2024)
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation.
In: Mukhopadhyay, A and Oksuz, I and Engelhardt, S and Zhu, D and Yuan, Y, (eds.)
Deep Generative Models (DGM4MICCAI 2023).
(pp. pp. 86-95).
Springer
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Fu, Y;
Robu, MR;
Koo, B;
Schneider, C;
Laarhoven, SV;
Stoyanov, D;
Davidson, B;
... Hu, Y; + view all
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation.
In: Wang, Q.et al., (ed.)
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. DART 2019, MIL3ID 2019.
(pp. pp. 173-180).
Springer: Cham.
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Li, Y;
Data, GWP;
Fu, Y;
Hu, Y;
Prisacariu, VA;
(2021)
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes.
In:
Proceedings of the 32nd British Machine Vision Conference (BMVC) 2021.
British Machine Vision Association: Virtual conference.
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Li, Y;
Data, GWP;
Fu, Y;
Hu, Y;
Prisacariu, VA;
(2021)
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes.
In:
Proceedings of the 32nd British Machine Vision Conference (BMVC 2021).
32nd British Machine Vision Conference (BMVC 2021): Online conference.
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Li, Yiwen;
Fu, Yunguan;
Yang, Qianye;
Min, Zhe;
Yan, Wen;
Huisman, Henkjan;
Prisacariu, Victor Adrian;
... Hu, Yipeng; + view all
(2022)
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning.
In:
Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2022.
IEEE: Kolkata, India.
(In press).
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Saeed, SU;
Fu, Y;
Stavrinides, V;
Baum, ZMC;
Yang, Q;
Rusu, M;
Fan, RE;
... Hu, Y; + view all
(2021)
Adaptable image quality assessment using meta-reinforcement learning of task amenability.
In:
Simplifying Medical Ultrasound.
(pp. pp. 191-201).
Springer: Cham, Switzerland.
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Saeed, SU;
Fu, Y;
Baum, ZMC;
Yang, Q;
Rusu, M;
Fan, RE;
Sonn, GA;
... Hu, Y; + view all
(2021)
Learning image quality assessment by reinforcing task amenable data selection.
In:
International Conference on Information Processing in Medical Imaging.
(pp. pp. 755-766).
Springer: Cham, Switzerland.
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Yang, Q;
Fu, Y;
Giganti, F;
Ghavami, N;
Chen, Q;
Noble, JA;
Vercauteren, T;
... Hu, Y; + view all
(2020)
Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 243-252).
Springer Nature: Cham, Switzerland.
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Yang, Q;
Vercauteren, T;
Fu, Y;
Giganti, F;
Ghavami, N;
Stavrinides, V;
Moore, CM;
... Hu, Y; + view all
(2021)
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation.
In:
Proceedings of the International Symposium on Biomedical Imaging (IEEE ISBI 2021).
IEEE: Virtual conference.
(In press).
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