Block-based compressed sensing of MR images using multi-rate deep learning approach
Crossref DOI link: https://doi.org/10.1007/s40747-021-00426-6
Published Online: 2021-06-17
Published Print: 2021-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Haq, Ejaz Ul http://orcid.org/0000-0002-0099-0708
Jianjun, Huang
Huarong, Xu
Li, Kang
Text and Data Mining valid from 2021-06-17
Version of Record valid from 2021-06-17
Article History
Received: 14 February 2021
Accepted: 5 June 2021
First Online: 17 June 2021
Declarations
:
: The authors declared that there is no conflict of interest.