Di Guo
Cited by
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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
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
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
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
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
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
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
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
High quality multi-focus image fusion using self-similarity and depth information
D Guo, J Yan, X Qu
Optics communications 338, 138-144, 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
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
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
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
Sparsity-based spatial interpolation in wireless sensor networks
D Guo, X Qu, L Huang, Y Yao
Sensors 11 (3), 2385-2407, 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
Compressed sensing MRI with combined sparsifying transforms and smoothed l0norm minimization
X Qu, X Cao, D Guo, C Hu, Z Chen
2010 IEEE International Conference on Acoustics, Speech and Signal …, 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
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
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
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
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