| Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks Y Gao, Z Xiong, A Fazlollahi, PJ Nestor, V Vegh, F Nasrallah, C Winter, ... NeuroImage 259, 119410, 2022 | 19 | 2022 |
| Affine transformation edited and refined deep neural network for quantitative susceptibility mapping Z Xiong, Y Gao, F Liu, H Sun NeuroImage 267, 119842, 2023 | 10 | 2023 |
| Quantitative susceptibility mapping through model-based deep image prior (MoDIP) Z Xiong, Y Gao, Y Liu, A Fazlollahi, P Nestor, F Liu, H Sun NeuroImage 291, 120583, 2024 | 4 | 2024 |
| 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 | 3 | 2024 |
| 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 |
| Fast Controllable Diffusion Models for Undersampled MRI Reconstruction W Jiang, Z Xiong, F Liu, N Ye, H Sun 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping Z Xiong, W Jiang, Y Gao, F Liu, H Sun arXiv preprint arXiv:2403.14070, 2024 | | 2024 |
| QSM from the raw phase using an end-to-end neural network Y Gao, Z Xiong, A Fazlollahi, P Nestor, V Vegh, GB Pike, S Crozier, F Liu, ... Proceedings of the International Society for Magnetic Resonance in Medicine …, 2023 | | 2023 |
| A deep learning dipole inversion method for QSM of arbitrary head orientation and image resolution Z Xiong, Y Gao, S Bollmann, H Sun | | |
Hongfu Sun / 孙洪福University of Newcastle; University of Queensland在 newcastle.edu.au 的电子邮件经过验证
