| Accelerated nuclear magnetic resonance spectroscopy with deep learning X Qu, Y Huang, H Lu, T Qiu, D Guo, T Agback, V Orekhov, Z Chen Angewandte Chemie International Edition, 2019 | 147 | 2019 |
| Hankel matrix nuclear norm regularized tensor completion for -dimensional exponential signals J Ying, H Lu, Q Wei, JF Cai, D Guo, J Wu, Z Chen, X Qu IEEE Transactions on Signal Processing 65 (14), 3702-3717, 2017 | 109 | 2017 |
| A fast low rank Hankel matrix factorization reconstruction method for non-uniformly sampled magnetic resonance spectroscopy D Guo, H Lu, X Qu IEEE Access 5, 16033-16039, 2017 | 41 | 2017 |
| Low rank enhanced matrix recovery of hybrid time and frequency data in fast magnetic resonance spectroscopy H Lu, X Zhang, T Qiu, J Yang, J Ying, D Guo, Z Chen, X Qu IEEE Transactions on Biomedical Engineering 65 (4), 809 - 820, 2017 | 36 | 2017 |
| A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI X Zhang, H Lu, D Guo, L Bao, F Huang, Q Xu, X Qu Medical Image Analysis 69, 101987, 2021 | 32* | 2021 |
| Accelerated MRI reconstruction with separable and enhanced low-rank Hankel regularization X Zhang, H Lu, D Guo, Z Lai, H Ye, X Peng, B Zhao, X Qu IEEE transactions on medical imaging 41 (9), 2486-2498, 2022 | 23 | 2022 |
| Sparse MRI reconstruction using multi-contrast image guided graph representation Z Lai, X Qu, H Lu, X Peng, D Guo, Y Yang, G Guo, Z Chen Magnetic resonance imaging 43, 95-104, 2017 | 22 | 2017 |
| An efficient approach to optimal experimental design for magnetic resonance fingerprinting with B‐splines E Scope Crafts, H Lu, H Ye, LL Wald, B Zhao Magnetic resonance in medicine 88 (1), 239-253, 2022 | 14 | 2022 |
| NUScon: a community-driven platform for quantitative evaluation of nonuniform sampling in NMR Y Pustovalova, F Delaglio, DL Craft, H Arthanari, A Bax, M Billeter, ... Magnetic Resonance 2 (2), 843-861, 2021 | 12 | 2021 |
| High-fidelity spectroscopy reconstruction in accelerated NMR X Qu, T Qiu, D Guo, H Lu, J Ying, M Shen, B Hu, V Orekhov, Z Chen Chemical communications 54 (78), 10958-10961, 2018 | 9 | 2018 |
| Improved balanced steady-state free precession based MR fingerprinting with deep autoencoders H Lu, H Ye, B Zhao 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
| A low rank Hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy H Lu, X Zhang, T Qiu, J Yang, D Guo, Z Chen, X Qu 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 3 | 2017 |
| Accelerated MR fingerprinting with low-rank and generative subspace modeling H Lu, H Ye, LL Wald, B Zhao arXiv preprint arXiv:2305.10651, 2023 | 2 | 2023 |
| Accelerated Magnetic Resonance Fingerprinting with Low-Rank and Generative Subspace Modeling H Lu, B Zhao 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | 1 | 2023 |
| Accelerated Phase-Contrast Flow MRI with Low-Rank and Generative Subspace Modeling H Lu, A Sun, J Wang, B Zhao 2023 57th Asilomar Conference on Signals, Systems, and Computers, 27-31, 2023 | | 2023 |
| Accelerated Black-Blood Cine MR Imaging with Low-Rank and Sparsity Constraints A Sun, H Lu, P Wu, B Zhao 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Accelerated Magnetic Resonance Parameter Mapping With Low-Rank Modeling and Deep Generative Priors H Lu, B Zhao 2023 IEEE Statistical Signal Processing Workshop (SSP), 403-407, 2023 | | 2023 |
Xiaobo Qu (屈小波)Professor of Department of Electronic Science, Xiamen UniversityVerified email at xmu.edu.cn
