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 | 269 | 2014 |

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 | 208 | 2012 |

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 | 144 | 2010 |

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 | 140 | 2015 |

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 | 114 | 2016 |

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 | 106 | 2018 |

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 | 97 | 2016 |

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 | 78 | 2013 |

High quality multi-focus image fusion using self-similarity and depth information D Guo, J Yan, X Qu Optics communications 338, 138-144, 2015 | 77 | 2015 |

Combined sparsifying transforms for compressed sensing MRI X Qu, X Cao, D Guo, C Hu, Z Chen Electronics letters 46 (2), 121-123, 2010 | 66 | 2010 |

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 | 56 | 2017 |

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 | 52 | 2015 |

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 | 45 | 2011 |

Sparsity-based spatial interpolation in wireless sensor networks D Guo, X Qu, L Huang, Y Yao Sensors 11 (3), 2385-2407, 2011 | 36 | 2011 |

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 59 (26), 10297-10300, 2020 | 30 | 2020 |

Compressed sensing MRI with combined sparsifying transforms and smoothed l_{0}norm minimizationX Qu, X Cao, D Guo, C Hu, Z Chen 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 30 | 2010 |

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 | 27 | 2018 |

Compressed sensing MRI based on nonsubsampled contourlet transform X Qu, D Guo, Z Chen, C Cai 2008 IEEE International Symposium on IT in Medicine and Education, 693-696, 2008 | 25 | 2008 |

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 | 24 | 2018 |

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 | 21 | 2017 |