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A Novel Compressed Sensing-Based Approach for Fast MRI Reconstruction From Highly Under-Sampled K-Space Data.
Chiara Di Martino
Cristiana Corsi
Damiana Lazzaro
Published in:
CinC (2019)
Keyphrases
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compressed sensing
data sets
data analysis
image reconstruction
sparsely sampled
high quality
raw data
multiresolution
image data
high dimensional data
feature selection
high resolution
data points
original data
random projections