Xiaobo Qu (屈小波)
Xiaobo Qu (屈小波)
Professor of Department of Electronic Science, Xiamen University
Verified email at - Homepage
Cited by
Cited by
Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain
XB Qu, JW Yan, HZ Xiao, ZQ Zhu
Acta Automatica Sinica 34 (12), 1508-1514, 2008
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 multiclass 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 63 (9), 1850-1861, 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
Accelerated NMR spectroscopy with low‐rank reconstruction
X Qu*, M Mayzel, JF Cai, Z Chen, V Orekhov*
Angewandte Chemie International Edition 54 (3), 852-854, 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
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
Multifocus image fusion method of sharp frequency localized contourlet transform domain based on sum-modified-Laplacian
X Qu, J Yan, G Yang
Optics and Precision Engineering 17 (5), 1203-1212, 2009
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, 2019
Hankel matrix nuclear norm regularized tensor completion for N-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
Review and prospect: Deep learning in nuclear magnetic resonance spectroscopy [Invited Review]
D Chen#, Z Wang#, D Guo, V Orekhov, X Qu*
Chemistry-A European Journal 26 (46), 10391-10401, 2020
High quality multi-focus image fusion using self-similarity and depth information
D Guo, J Yan, X Qu*
Optics Communications 338, 138-144, 2015
A novel image fusion algorithm based on bandelet transform
X Qu, J Yan, G Xie, Z Zhu, B Chen
Chinese Optics Letters 5 (10), 569-572, 2007
Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction
JF Cai*, X Qu, W Xu, GB Ye
Applied and Computational Harmonic Analysis 41 (2), 470-490, 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
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), 121-123, 2010
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
Y Liu, J Cai, Z Zhan, D Guo, J Ye, Z Chen, X Qu*
PLOS ONE 10 (4), e0119584, 2015
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