| Review and prospect: Deep learning in nuclear magnetic resonance spectroscopy D Chen#, Z Wang#, D Guo, V Orekhov, X Qu Chemistry – A European Journal 26 (46), 10391-10401, 2020 | 140 | 2020 |
| A review on deep learning MRI reconstruction without fully sampled k-space G Zeng, Y Guo, J Zhan, Z Wang, Z Lai, X Du, X Qu, D Guo BMC Medical Imaging 21 (1), 195, 2021 | 94 | 2021 |
| Physics-driven synthetic data learning for biomedical magnetic resonance: The imaging physics-based data synthesis paradigm for artificial intelligence Q Yang, Z Wang, K Guo, C Cai, X Qu IEEE Signal Processing Magazine 40 (2), 129-140, 2023 | 58 | 2023 |
| One-dimensional deep low-rank and sparse network for accelerated MRI Z Wang, C Qian, D Guo, H Sun, R Li, B Zhao, X Qu IEEE Transactions on Medical Imaging 42 (1), 79-90, 2023 | 49 | 2023 |
| Exponential signal reconstruction with deep Hankel matrix factorization Y Huang, J Zhao, Z Wang, V Orekhov, D Guo, X Qu IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6214-6226, 2023 | 39 | 2023 |
| Review and prospect: NMR spectroscopy denoising and reconstruction with low‐rank Hankel matrices and tensors T Qiu, Z Wang, H Liu, D Guo, X Qu Magnetic Resonance in Chemistry 59 (3), 324-345, 2021 | 39 | 2021 |
| A sparse model-inspired deep thresholding network for exponential signal reconstruction—Application in fast biological spectroscopy Z Wang, D Guo, Z Tu, Y Huang, Y Zhou, J Wang, L Feng, D Lin, Y You, ... IEEE Transactions on Neural Networks and Learning Systems 34 (10), 7578-7592, 2023 | 35 | 2023 |
| Magnetic resonance spectroscopy deep learning denoising using few in vivo data D Chen, W Hu, H Liu, Y Zhou, T Qiu, Y Huang, Z Wang, M Lin, L Lin, Z Wu, ... IEEE Transactions on Computational Imaging 9, 448-458, 2023 | 15 | 2023 |
| A faithful deep sensitivity estimation for accelerated magnetic resonance imaging Z Wang, H Fang, C Qian, B Shi, L Bao, L Zhu, J Zhou, W Wei, J Lin, D Guo, ... IEEE Journal of Biomedical and Health Informatics 28 (4), 2126-2137, 2024 | 10 | 2024 |
| The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023 J Lyu, C Qin, S Wang, F Wang, Y Li, Z Wang, K Guo, C Ouyang, M Tänzer, ... Medical Image Analysis 101, 103485, 2025 | 9 | 2025 |
| One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction Z Wang, X Yu, C Wang, W Chen, J Wang, YH Chu, H Sun, R Li, P Li, ... arXiv preprint arXiv:2307.13220, 2023 | 9 | 2023 |
| CloudBrain-ReconAI: A cloud computing platform for MRI reconstruction and radiologists’ image quality evaluation Y Zhou, C Qian, J Li, Z Wang, Y Hu, B Qu, L Zhu, J Zhou, T Kang, J Lin, ... IEEE Transactions on Cloud Computing 12 (4), 1359-1371, 2024 | 8* | 2024 |
| XCloud-pFISTA: A medical intelligence cloud for accelerated MRI Y Zhou, C Qian, Y Guo, Z Wang, J Wang, B Qu, D Guo, Y You, X Qu Annual International Conference of the IEEE Engineering in Medicine …, 2021 | 8 | 2021 |
| Physics-informed deep diffusion MRI reconstruction: Break the bottleneck of training data in artificial intelligence C Qian, Z Wang, X Zhang, Q Cai, T Kang, B Jiang, R Tao, Z Wu, D Guo, ... IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 7 | 2023 |
| A joint group sparsity-based deep learning for multi-contrast MRI reconstruction D Guo, G Zeng, H Fu, Z Wang, Y Yang, X Qu Journal of Magnetic Resonance 346, 107354, 2023 | 7 | 2023 |
| A paired phase and magnitude reconstruction for advanced diffusion-weighted imaging C Qian, Z Wang, X Zhang, B Shi, B Jiang, R Tao, J Li, Y Ge, T Kang, J Lin, ... IEEE Transactions on Biomedical Engineering 70 (12), 3425-3435, 2023 | 5 | 2023 |
| XCloud-VIP: Virtual peak enables highly accelerated NMR spectroscopy and faithful quantitative measures D Guo, Z Tu, Y Guo, Y Zhou, J Wang, Z Wang, T Qiu, M Xiao, L Feng, ... IEEE Transactions on Computational Imaging 9, 1043-1057, 2023 | 5 | 2023 |
| Brain metabolic differences between temporal lobe epileptic seizures and organic non-epileptic seizures in postictal phase: a retrospective study with magnetic resonance … D Liu, Y Yang, D Chen, Z Wang, D Guo, L Bao, J Dong, X Wang, X Qu Quantitative Imaging in Medicine and Surgery 11 (8), 3781, 2021 | 5 | 2021 |
| MRI reconstruction with enhanced self-similarity using graph convolutional network Q Ma, Z Lai, Z Wang, Y Qiu, H Zhang, X Qu BMC Medical Imaging 24 (1), 113, 2024 | 4 | 2024 |
| CMRxRecon2024: A multimodality, multiview k-space dataset boosting universal machine learning for accelerated cardiac MRI Z Wang, F Wang, C Qin, J Lyu, C Ouyang, S Wang, Y Li, M Yu, H Zhang, ... Radiology: Artificial Intelligence 7 (2), e240443, 2025 | 3 | 2025 |
Xiaobo Qu (屈小波)Professor of Department of Electronic Science, Xiamen UniversityVerified email at xmu.edu.cn