"An efficient semi-supervised quality control system trained using ..."

Daniele Ravì et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.MEDIA.2023.103033

access: open

type: Journal Article

metadata version: 2024-06-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/mia/RaviBAPPE24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mia/RaviBAPPE24
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoffrey J. M. Parker, Arman Eshaghi:
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. Medical Image Anal. 91: 103033 (2024)

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.