| 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, 2022 | 34 | 2022 |
| 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 |
| CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis X Chen, J Li, D Chen, Y Zhou, Z Tu, M Lin, T Kang, J Lin, T Gong, L Zhu, ... Journal of Magnetic Resonance 358, 107601, 2024 | 11 | 2024 |
| CloudBrain-ReconAI: An online platform for MRI reconstruction and image quality evaluation Y Zhou, C Qian, J Li, Z Wang, Y Hu, B Qu, L Zhu, J Zhou, T Kang, J Lin, ... arXiv preprint arXiv:2212.01878, 2022 | 8 | 2022 |
| 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 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 8 | 2021 |
| Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal D Chen, M Lin, H Liu, J Li, Y Zhou, T Kang, L Lin, Z Wu, J Wang, J Li, J Lin, ... IEEE Transactions on Biomedical Engineering, 2024 | 6 | 2024 |
| 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, Y Chen, ... IEEE Transactions on Computational Imaging 9, 1043-1057, 2023 | 5 | 2023 |
| Hypercomplex low rank reconstruction for nmr spectroscopy Y Guo, J Zhan, Z Tu, Y Zhou, J Wu, Q Hong, Y Huang, V Orekhov, X Qu, ... Signal Processing 203, 108809, 2023 | 5 | 2023 |
| Cloud-magnetic resonance imaging system: in the era of 6G and artificial intelligence Y Zhou, Y Wu, Y Su, J Li, J Cai, Y You, J Zhou, D Guo, X Qu Magnetic Resonance Letters, 200138, 2024 | 3 | 2024 |
| Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI Z Wang, M Xiao, Y Zhou, C Wang, N Wu, Y Li, Y Gong, S Chang, Y Chen, ... arXiv preprint arXiv:2402.15939, 2024 | 2 | 2024 |
| Low‐rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy D Guo, J Zhan, Y Zhou, Z Tu, Z Zhang, Z Chen, X Qu IET Signal Processing 15 (2), 88-97, 2021 | 2 | 2021 |
| Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI Y Zhou, C Wang, M Lu, K Guo, Z Wang, D Ruan, R Guo, P Zhao, J Wang, ... arXiv preprint arXiv:2405.10570, 2024 | 1 | 2024 |
| Physics-informed Deep Diffusion MRI Reconstruction with Clinical Data Evaluation: Break Training Data Bottleneck in Artificial Intelligence C Qian, Y Gao, M Han, Z Wang, D Ruan, Y Shen, Y Wu, Y Zhou, C Wang, ... arXiv preprint arXiv:2210.11388, 2022 | 1 | 2022 |
| 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, 2024 | | 2024 |
| XCloud-HyperLRF: Fast Hypercomplex NMR Spectroscopy with Cloud-based Low Rank Hankel Matrix Reconstruction D Guo, J Zhan, Z Tu, Y Guo, Y Zhou, J Wu, Q Hong, V Orekhov, X Qu | | |
| XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI Reconstruction Y Zhou, C Qian, Y Guo, Z Wang, J Wang, B Qu, D Guo, Y You, X Qu | | |
| Hypercomplex Low Rank Reconstruction for Nmr Spectroscopy with Cloud Computing⋆ Y Guo, J Zhan, Z Tu, Y Zhou, J Wu, Q Hong, V Orekhov, X Qu, D Guo Available at SSRN 4077547, 0 | | |
Xiaobo Qu (屈小波)Professor of Department of Electronic Science, Xiamen UniversityVerified email at xmu.edu.cn