Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator X Qu, Y Hou, F Lam, D Guo, J Zhong, Z Chen Medical image analysis 18 (6), 843-856, 2014 | 339 | 2014 |
Convolutional neural networks-based MRI image analysis for the Alzheimer’s disease prediction from mild cognitive impairment W Lin, T Tong, Q Gao, D Guo, X Du, Y Yang, G Guo, M Xiao, M Du, X Qu, ... Frontiers in neuroscience 12, 777, 2018 | 281 | 2018 |
Undersampled MRI reconstruction with patch-based directional wavelets X Qu, D Guo, B Ning, Y Hou, Y Lin, S Cai, Z Chen Magnetic resonance imaging 30 (7), 964-977, 2012 | 254 | 2012 |
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction Z Zhan, JF Cai, D Guo, Y Liu, Z Chen, X Qu IEEE Transactions on Biomedical Engineering, DOI: 10.1109/TBME.2015.2503756,, 2015 | 187 | 2015 |
Iterative thresholding compressed sensing MRI based on contourlet transform X Qu, W Zhang, D Guo, C Cai, S Cai, Z Chen Inverse Problems in Science and Engineering 18 (6), 737-758, 2010 | 169 | 2010 |
Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform Z Lai, X Qu, Y Liu, D Guo, J Ye, Z Zhan, Z Chen Medical image analysis 27, 93-104, 2016 | 160 | 2016 |
Projected iterative soft-thresholding algorithm for tight frames in compressed sensing magnetic resonance imaging Y Liu, Z Zhan, JF Cai, D Guo, Z Chen, X Qu IEEE transactions on medical imaging 35 (9), 2130-2140, 2016 | 159 | 2016 |
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 132 (26), 10383-10386, 2020 | 114 | 2020 |
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 | 97 | 2017 |
High quality multi-focus image fusion using self-similarity and depth information D Guo, J Yan, X Qu Optics communications 338, 138-144, 2015 | 90 | 2015 |
Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization B Ning, X Qu, D Guo, C Hu, Z Chen Magnetic resonance imaging 31 (9), 1611-1622, 2013 | 81 | 2013 |
Combined sparsifying transforms for compressed sensing MRI X Qu, X Cao, D Guo, C Hu, Z Chen Electronics letters 46 (2), 121, 2010 | 74 | 2010 |
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging Y Liu, JF Cai, Z Zhan, D Guo, J Ye, Z Chen, X Qu PloS one 10 (4), e0119584, 2015 | 72 | 2015 |
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 | 71 | 2020 |
Vandermonde factorization of Hankel matrix for complex exponential signal recovery—Application in fast NMR spectroscopy J Ying, JF Cai, D Guo, G Tang, Z Chen, X Qu IEEE Transactions on Signal Processing 66 (21), 5520-5533, 2018 | 65 | 2018 |
Reconstruction of self-sparse 2D NMR spectra from undersampled data in the indirect dimension X Qu, D Guo, X Cao, S Cai, Z Chen Sensors 11 (9), 8888-8909, 2011 | 57 | 2011 |
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI X Zhang, D Guo, Y Huang, Y Chen, L Wang, F Huang, Q Xu, X Qu Medical Image Analysis 63, 101687, 2020 | 45 | 2020 |
Single image super-resolution based on multi-scale competitive convolutional neural network X Du, X Qu, Y He, D Guo Sensors 18 (3), 789, 2018 | 41 | 2018 |
Multi-contrast brain MRI image super-resolution with gradient-guided edge enhancement H Zheng, K Zeng, D Guo, J Ying, Y Yang, X Peng, F Huang, Z Chen, X Qu IEEE Access 6, 57856-57867, 2018 | 39 | 2018 |
Sparsity-based spatial interpolation in wireless sensor networks D Guo, X Qu, L Huang, Y Yao Sensors 11 (3), 2385-2407, 2011 | 38 | 2011 |