"Simulated perfusion MRI data to boost training of convolutional neural ..."

Noëlie Debs et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.COMPBIOMED.2019.103579

access: closed

type: Journal Article

metadata version: 2025-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cbm/DebsRVCFR20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cbm/DebsRVCFR20
Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau:
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke. Comput. Biol. Medicine 116: 103579 (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.