Di Guo
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
High quality multi-focus image fusion using self-similarity and depth information
D Guo, J Yan, X Qu
Optics communications 338, 138-144, 2015
Extreme kernel sparse learning for tactile object recognition
H Liu, J Qin, F Sun, D Guo
IEEE transactions on cybernetics 47 (12), 4509-4520, 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
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
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
Combined sparsifying transforms for compressed sensing MRI
X Qu, X Cao, D Guo, C Hu, Z Chen
Electronics letters 46 (2), 121, 2010
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
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
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
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
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