Compressed sensing regularized calibrationless parallel magnetic resonance imaging via deep learning-Reference-Cited by-同舟云学术

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Compressed sensing regularized calibrationless parallel magnetic resonance imaging via deep learning

Published:2021-04 Issue: Volume:66 Page:102399
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Islam Sheikh Rafiul,Maity Santi P.,Ray Ajoy Kumar

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference44 articles.

1. Magnetic resonance imaging;Wright;IEEE Signal Process. Mag.,1997

2. MRI: Basic Principles and Applications;Brown,2011

3. Compressed sensing;Donoho;IEEE Trans. Inform. Theory,2006

4. Compressive sensing;Baraniuk;IEEE Signal Process. Mag.,2007

5. SENSE: Sensitivity encoding for fast MRI;Pruessmann;Magnet. Reson. Med.,1999

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2. User Name-Based Compression and Encryption of Images Using Chaotic Compressive Sensing Theory;The Computer Journal;2022-12-16

3. Noise-residue learning convolutional network model for magnetic resonance image enhancement;Journal of Physics: Conference Series;2021-11-01

4. Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction;Computers in Biology and Medicine;2021-07

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