DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI-Reference-Cited by-同舟云学术

DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI

Published:2022-06 Issue:4 Volume:16 Page:725-736
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Zhang Yilang¹^ORCID,Mao Xiaojun²^ORCID,Wang Jian¹^ORCID,Liu Weidong³^ORCID

Affiliation:

1. School of Data Science, Fudan University, Shanghai, China

2. School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China

3. School of Mathematical Sciences, School of Life Sciences and Biotechnology, MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Shanghai Municipal Science and Technology Major Project

ZJLab

National Program on Key Basic Research Project

Youth Talent Support Program of Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/9829898/09732174.pdf?arnumber=9732174

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4. Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction

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