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Richard Shaw
Richard Shaw
Bestätigte E-Mail-Adresse bei ucl.ac.uk
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Zitiert von
Zitiert von
Jahr
MRI k-space motion artefact augmentation: model robustness and task-specific uncertainty
R Shaw, C Sudre, S Ourselin, MJ Cardoso
552018
A k-space model of movement artefacts: application to segmentation augmentation and artefact removal
R Shaw, CH Sudre, T Varsavsky, S Ourselin, MJ Cardoso
IEEE transactions on medical imaging 39 (9), 2881-2892, 2020
372020
NTIRE 2022 challenge on high dynamic range imaging: Methods and results
E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
352022
Neuromorphologicaly-preserving volumetric data encoding using VQ-VAE
PD Tudosiu, T Varsavsky, R Shaw, M Graham, P Nachev, S Ourselin, ...
arXiv preprint arXiv:2002.05692, 2020
182020
Human gaussian splatting: Real-time rendering of animatable avatars
A Moreau, J Song, H Dhamo, R Shaw, Y Zhou, E Pérez-Pellitero
arXiv preprint arXiv:2311.17113, 2023
122023
A multi-channel uncertainty-aware multi-resolution network for MR to CT synthesis
K Klaser, P Borges, R Shaw, M Ranzini, M Modat, D Atkinson, ...
Applied sciences 11 (4), 1667, 2021
122021
A heteroscedastic uncertainty model for decoupling sources of MRI image quality
R Shaw, CH Sudre, S Ourselin, MJ Cardoso
Medical Imaging with Deep Learning, 733-742, 2020
102020
Headgas: Real-time animatable head avatars via 3d gaussian splatting
H Dhamo, Y Nie, A Moreau, J Song, R Shaw, Y Zhou, E Pérez-Pellitero
arXiv preprint arXiv:2312.02902, 2023
82023
Hdr reconstruction from bracketed exposures and events
R Shaw, S Catley-Chandar, A Leonardis, E Perez-Pellitero
arXiv preprint arXiv:2203.14825, 2022
52022
Vschh 2023: A benchmark for the view synthesis challenge of human heads
Y Jang, J Zheng, J Song, H Dhamo, E Pérez-Pellitero, T Tanay, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Uncertainty-aware multi-resolution whole-body MR to CT synthesis
K Kläser, P Borges, R Shaw, M Ranzini, M Modat, D Atkinson, ...
Simulation and Synthesis in Medical Imaging: 5th International Workshop …, 2020
42020
Acquisition-invariant brain MRI segmentation with informative uncertainties
P Borges, R Shaw, T Varsavsky, K Kläser, D Thomas, I Drobnjak, ...
Medical Image Analysis 92, 103058, 2024
32024
Estimating MRI image quality via image reconstruction uncertainty
R Shaw, CH Sudre, S Ourselin, MJ Cardoso
arXiv preprint arXiv:2106.10992, 2021
32021
A decoupled uncertainty model for mri segmentation quality estimation
R Shaw, CH Sudre, S Ourselin, MJ Cardoso, HG Pemberton
arXiv preprint arXiv:2109.02413, 2021
22021
SWAGS: Sampling Windows Adaptively for Dynamic 3D Gaussian Splatting
R Shaw, J Song, A Moreau, M Nazarczuk, S Catley-Chandar, H Dhamo, ...
arXiv preprint arXiv:2312.13308, 2023
12023
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
R Shaw, CH Sudre, S Ourselin, MJ Cardoso, HG Pemberton
Machine Learning for Biomedical Imaging 1 (MIDL 2020 special issue), 1-23, 2021
12021
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties
P Borges, R Shaw, T Varsavsky, K Klaser, D Thomas, I Drobnjak, ...
Simulation and Synthesis in Medical Imaging: 6th International Workshop …, 2021
12021
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF
S Catley-Chandar, R Shaw, G Slabaugh, E Perez-Pellitero
arXiv preprint arXiv:2403.11909, 2024
2024
MRI Artefact Augmentation: Robust Deep Learning Systems and Automated Quality Control
R Shaw
UCL (University College London), 2022
2022
OPTICAL MEASUREMENT OF LOW-FREQUENCY VIBRATION
R Shaw
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