"Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for ..."

Antoine Madrona et al. (2023)

> Home

Details and statistics

DOI: 10.1109/ISBI53787.2023.10230596

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/isbi/MadronaOGRMTKWMRR23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/isbi/MadronaOGRMTKWMRR23
Antoine Madrona, Sebastian Otálora, Elda Fischi Gomez, Veronica Ravano, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Roland Wiest, Richard McKinley, Jonas Richiardi, Jonathan Rafael-Patino:
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. ISBI 2023: 1-5

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.