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Super-pixel algorithm and group sparsity regularization method for compressed sensing MR image reconstruction
Optik
◽
10.1016/j.ijleo.2017.04.069
◽
2017
◽
Vol 140
◽
pp. 392-404
◽
Cited By ~ 3
Author(s):
Hongjuan Yu
◽
Mingfeng Jiang
◽
Hairong Chen
◽
Jie Feng
◽
Yaming Wang
◽
...
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Regularization Method
◽
Group Sparsity
◽
Mr Image
◽
Sparsity Regularization
◽
Mr Image Reconstruction
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Cited By
References
Reference-Driven Compressed Sensing MR Image Reconstruction with Partially Known Support and Group Sparsity Constraints
Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
◽
10.2991/icmt-13.2013.42
◽
2013
◽
Author(s):
Dong Yize
◽
Du Huiqian
◽
Zhao Di
◽
Han Yu
◽
Mei Wenbo
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Group Sparsity
◽
Mr Image
◽
Sparsity Constraints
◽
Mr Image Reconstruction
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Efficient Compressed Sensing MR Image Reconstruction Using Anisotropic Overlapping Group Sparsity Total Variation
Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering
◽
10.18178/wcse.2017.06.050
◽
2017
◽
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Total Variation
◽
Group Sparsity
◽
Mr Image
◽
Overlapping Group Sparsity
◽
Mr Image Reconstruction
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A Rapid Non-Linear Diffusion Compressed Sensing parallel MR Image Reconstruction
Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing
◽
10.1145/3293353.3293411
◽
2018
◽
Author(s):
Ajin Joy
◽
Joseph Suresh Paul
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Mr Image
◽
Linear Diffusion
◽
Non Linear
◽
Mr Image Reconstruction
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Wavelet encoded MR image reconstruction with compressed sensing
10.1117/12.878707
◽
2011
◽
Cited By ~ 1
Author(s):
Zheng Liu
◽
Brian Nutter
◽
Jingqi Ao
◽
Sunanda Mitra
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Mr Image
◽
Mr Image Reconstruction
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Bi-component decomposition based hybrid regularization method for partly-textured CS-MR image reconstruction
Signal Processing
◽
10.1016/j.sigpro.2016.04.012
◽
2016
◽
Vol 128
◽
pp. 274-290
◽
Cited By ~ 5
Author(s):
Jun Zhang
◽
Zhihui Wei
◽
Liang Xiao
Keyword(s):
Image Reconstruction
◽
Regularization Method
◽
Mr Image
◽
Component Decomposition
◽
Mr Image Reconstruction
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MR Image Reconstruction Based on Compressed Sensing
International Journal of Digital Content Technology and its Applications
◽
10.4156/jdcta.vol6.issue8.16
◽
2012
◽
Vol 6
(8)
◽
pp. 135-143
Author(s):
Jiafeng Liu
◽
Haiyun Li
◽
Hongli Shi
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Mr Image
◽
Mr Image Reconstruction
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Multi-Layer Basis Pursuit for Compressed Sensing MR Image Reconstruction
IEEE Access
◽
10.1109/access.2020.3028877
◽
2020
◽
Vol 8
◽
pp. 186222-186232
Author(s):
Abdul Wahid
◽
Jawad Ali Shah
◽
Adnan Umar Khan
◽
Manzoor Ahmed
◽
Hanif Razali
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Basis Pursuit
◽
Mr Image
◽
Mr Image Reconstruction
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Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
2009 IEEE International Conference on Acoustics, Speech and Signal Processing
◽
10.1109/icassp.2009.4959603
◽
2009
◽
Author(s):
Chenlu Qiu
◽
Wei Lu
◽
Namrata Vaswani
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Real Time
◽
Mr Image
◽
Time Dynamic
◽
Dynamic Mr
◽
Mr Image Reconstruction
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The application of plug-and-play ADMM framework and BM3D denoiser for compressed sensing MR image reconstruction
International Journal of Computer Applications in Technology
◽
10.1504/ijcat.2021.10040399
◽
2021
◽
Vol 65
(4)
◽
pp. 304
Author(s):
Tie Qiang Li
◽
Pin Wang
◽
Yongming Li
◽
Lingyan Zhu
◽
Yang Li
◽
...
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Plug And Play
◽
Mr Image
◽
Mr Image Reconstruction
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A mixed‐order nonlinear diffusion compressed sensing MR image reconstruction
Magnetic Resonance in Medicine
◽
10.1002/mrm.27162
◽
2018
◽
Vol 80
(5)
◽
pp. 2215-2222
◽
Cited By ~ 2
Author(s):
Ajin Joy
◽
Joseph Suresh Paul
Keyword(s):
Image Reconstruction
◽
Compressed Sensing
◽
Nonlinear Diffusion
◽
Mr Image
◽
Mixed Order
◽
Mr Image Reconstruction
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