"Deep-Learning Methods for Parallel Magnetic Resonance Imaging ..."

Florian Knoll et al. (2020)

> Home

Details and statistics

DOI: 10.1109/MSP.2019.2950640

access: closed

type: Journal Article

metadata version: 2022-05-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/spm/KnollHZMPSA20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/spm/KnollHZMPSA20
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya:
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. 37(1): 128-140 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.