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Low-rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy.
Di Guo
Jiaying Zhan
Yirong Zhou
Zhangren Tu
Zifei Zhang
Zhong Chen
Xiaobo Qu
Published in:
IET Signal Process. (2021)
Keyphrases
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magnetic resonance spectroscopy
low rank and sparse
convex optimization
prostate cancer
compressed sensing
signal recovery
feature selection
pattern recognition
brain tumors
computer vision
high resolution
image reconstruction
high order
low rank
hierarchical bayesian model