| MRI k-space motion artefact augmentation: model robustness and task-specific uncertainty R Shaw, C Sudre, S Ourselin, MJ Cardoso | 62 | 2019 |
| Human gaussian splatting: Real-time rendering of animatable avatars A Moreau, J Song, H Dhamo, R Shaw, Y Zhou, E Pérez-Pellitero Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 56 | 2024 |
| 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 | 46 | 2020 |
| 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 | 43 | 2022 |
| Kä llberg, M., Cox, AJ, Kruglyak, S., and Saunders, CT (2016). Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications X Chen, O Schulz-Trieglaff, R Shaw, B Barnes, F Schlesinger Bioinformatics 32, 1220-1222, 0 | 30 | |
| 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 European Conference on Computer Vision, 459-476, 2024 | 29 | 2024 |
| 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 | 21 | 2020 |
| SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting R Shaw, M Nazarczuk, J Song, A Moreau, S Catley-Chandar, H Dhamo, ... arXiv preprint arXiv:2312.13308, 2023 | 17 | 2023 |
| 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 | 14 | 2021 |
| 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 | 10 | 2020 |
| 676 Saunders CT: Manta: rapid detection of structural variants and indels for germline and cancer 677 sequencing applications XY Chen, O Schulz-Trieglaff, R Shaw, B Barnes, F Schlesinger, ... Bioinformatics 32, 1220-1222, 2016 | 10 | 2016 |
| Hdr reconstruction from bracketed exposures and events R Shaw, S Catley-Chandar, A Leonardis, E Perez-Pellitero arXiv preprint arXiv:2203.14825, 2022 | 8 | 2022 |
| AIM 2024 sparse neural rendering challenge: Methods and results M Nazarczuk, S Catley-Chandar, T Tanay, R Shaw, E Pérez-Pellitero, ... arXiv preprint arXiv:2409.15045, 2024 | 7 | 2024 |
| AIM 2024 sparse neural rendering challenge: Dataset and benchmark M Nazarczuk, T Tanay, S Catley-Chandar, R Shaw, R Timofte, ... arXiv preprint arXiv:2409.15041, 2024 | 7 | 2024 |
| Kotekan: A framework for high-performance radiometric data pipelines A Renard, R Shaw, C Ng, R Nitsche, J Taylor, K Vanderlinde, K Masui, ... Zenodo, 2021 | 7 | 2021 |
| radiocosmology/draco: 20.10. 0 R Shaw, R Nitsche, SR Siegel, T Pinsonneault-Marotte, M Fandino, ... Zenodo, 2020 | 7 | 2020 |
| 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 | 6 | 2024 |
| Data processing pipeline for Tianlai experiment S Zuo, J Li, Y Li, D Santanu, A Stebbins, KW Masui, R Shaw, J Zhang, ... Astronomy and Computing 34, 100439, 2021 | 6 | 2021 |
| Rapid detection of structural variants and indels for germline and cancer sequencing applications., 2016, 32 X Chen, O Schulz-Trieglaff, R Shaw, B Barnes, F Schlesinger, M Källberg, ... DOI: https://doi. org/10.1093/bioinformatics/btv710, 1220-1222, 0 | 6 | |
| 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 | 5 | 2023 |
