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
390 2018 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
378 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
278 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
214 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
199 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
192 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
190 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
182 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
140 2020 Hankel Matrix Nuclear Norm Regularized Tensor Completion for 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
118 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
107 2015 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
97 2021 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
93 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
88 2013 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
86 2018 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
86 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
80 2010 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
69 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
59 2011 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
58 2018 
Xiaobo Qu (屈小波)Professor of Department of Electronic Science, Xiamen Universityxmu.edu.cn üzerinde doğrulanmış e-posta adresine sahip