| Integrated MRI-guided radiotherapy—opportunities and challenges PJ Keall, C Brighi, C Glide-Hurst, G Liney, PZY Liu, S Lydiard, C Paganelli, ... Nature Reviews Clinical Oncology 19 (7), 458-470, 2022 | 71 | 2022 |
| Geometric distortion characterization and correction for the 1.0 T Australian MRI‐linac system using an inverse electromagnetic method S Shan, GP Liney, F Tang, M Li, Y Wang, H Ma, E Weber, A Walker, ... Medical Physics 47 (3), 1126-1138, 2020 | 15 | 2020 |
| Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac S Shan, Y Gao, PZY Liu, B Whelan, H Sun, B Dong, F Liu, ... Magnetic resonance in medicine 90 (3), 963-977, 2023 | 9 | 2023 |
| Chaotic compressive sampling matrix: where sensing architecture meets sinusoidal iterator H Gan, S Xiao, Z Zhang, S Shan, Y Gao Circuits, Systems, and Signal Processing 39, 1581-1602, 2020 | 8 | 2020 |
| BM3D denoising based on minimum GCV score S Shan, Y Li, S Zhu 2015 International Conference on Computers, Communications, and Systems …, 2015 | 8 | 2015 |
| ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI‐Linac scanner S Shan, M Li, M Li, F Tang, S Crozier, F Liu Medical Physics 48 (6), 2991-3002, 2021 | 7 | 2021 |
| Fast geometric distortion correction using a deep neural network: Implementation for the 1 Tesla MRI‐Linac system M Li, S Shan, SS Chandra, F Liu, S Crozier Medical Physics 47 (9), 4303-4315, 2020 | 7 | 2020 |
| Gradient field deviation (GFD) correction using a hybrid-norm approach with wavelet sub-band dependent regularization: implementation for radial MRI at 9.4 T S Shan, M Li, F Tang, H Ma, F Liu, S Crozier IEEE Transactions on Biomedical Engineering 66 (9), 2693-2701, 2019 | 6 | 2019 |
| Image distortion correction via gradient nonlinearity encoding at 9.4 T MRI with Radial Ultra short (UTE) sequence S shan, M Li, H Chen, F Liu, S Crozier 27th Annu. Meeting ISMRM-ESMRMB, p.4203, 2018 | 4 | 2018 |
| A novel hybrid method for Gradient Nonlinearity (GNL) correction for MRI-Linac system S shan, M Li, Y Wang, F Tang, D Wang, H Chen, E Weber, R Franco, ... 27th Annu. Meeting ISMRM-ESMRMB, p.4417, 2018 | 4 | 2018 |
| Radioactive Microspheres for Selective Internal Radiation Therapy of Hepatocellular Carcinoma Y Zhou, Y Gao, G Duan, L Wen, S Shan, S Wu, J Zeng, M Gao Advanced NanoBiomed Research 3 (6), 2200166, 2023 | 3 | 2023 |
| Rapid distortion correction enables accurate magnetic resonance imaging-guided real-time adaptive radiotherapy PZY Liu, S Shan, D Waddington, B Whelan, B Dong, G Liney, P Keall Physics and Imaging in Radiation Oncology 25, 100414, 2023 | 3 | 2023 |
| Metamaterial RF Shield with Reduced Specific Absorption Rate and Improved Transmit Efficiency for 9.4 T MRI H Chen, L Guo, M Li, C Liu, S Shan, Y Wang, E Weber, F Liu, S Crozier 27th Annu. Meeting ISMRM-ESMRMB, p.4297, 2018 | 3 | 2018 |
| Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks Y Gao, Z Xiong, S Shan, Y Liu, P Rong, M Li, AH Wilman, GB Pike, F Liu, ... Medical Image Analysis 94, 103160, 2024 | 2 | 2024 |
| Distortion free image reconstruction using a deep neural network for an MRI-Linac S Shan, Y Gao, P Liu, B Whelan, H Sun, F Liu, P Keall, D Waddington Proceedings of the 31st Annual Meeting of the ISMRM-ESMRMB. London, UK 857, 2022 | 1 | 2022 |
| Improvement of the Transmit Efficiency Using a Miniaturized Artificial Magnetic Conductor Surface for RF shield at 9.4T H Chen, M Li, Y Gao, C Liu, S Shan, A Destruel, E Weber, F Liu, S Crozier 27th Annu. Meeting ISMRM-ESMRMB, p.1037, 2019 | 1 | 2019 |
| IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules M Li, C Chen, Z Xiong, Y Liu, P Rong, S Shan, F Liu, H Sun, Y Gao arXiv preprint arXiv:2406.12300, 2024 | | 2024 |
| Image Reconstruction with B0 Inhomogeneity using an Interpretable Deep Unrolled Network on an Open-bore MRI-Linac S Shan, Y Gao, DEJ Waddington, H Chen, B Whelan, PZY Liu, Y Wang, ... arXiv preprint arXiv:2404.09436, 2024 | | 2024 |
| Super-resolution neural networks improve the spatiotemporal resolution of adaptive MRI-guided radiation therapy J Grover, P Liu, B Dong, S Shan, B Whelan, P Keall, DEJ Waddington Communications Medicine 4 (1), 64, 2024 | | 2024 |
| mri_distortion_toolkit phantom acquisition data B Whelan, P Liu, S Shan | | 2023 |
David WaddingtonUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证
