HFIST-Net: High-throughput fast iterative shrinkage thresholding network for accelerating MR image reconstruction-Reference-Cited by-同舟云学术

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HFIST-Net: High-throughput fast iterative shrinkage thresholding network for accelerating MR image reconstruction

Published:2023-04 Issue: Volume:232 Page:107440
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Geng Chenghu,Jiang Mingfeng^ORCID,Fang Xian,Li Yang^ORCID,Jin Guangri,Chen Aixi,Liu Feng^ORCID

Funder

Key Technology Research and Development Program of Shandong

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Zhejiang Province Science and Technology Department

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference51 articles.

1. Sparse MRI: the application of compressed sensing for rapid MR imaging;Lustig;Magn Reson Med,2007

2. Compressed sensing;Donoho;IEEE Trans Inf Theory,2006

3. Single-pixel imaging via compressive sampling;Duarte;IEEE Signal Process Mag,2008

4. Near-optimal signal recovery from random projections: universal encoding strategies?;Candes;IEEE Trans Inf Theory,2006

5. Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion mri;Otazo;Magn Reson Med,2010

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