"Landmark Anything: Multi-View Consensus Convolutional Networks Applied to ..."

Álvaro Heredia-Lidón et al. (2024)

> Home

Details and statistics

DOI: 10.3233/FAIA240438

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ccia/Heredia-LidonGE24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ccia/Heredia-LidonGE24
Álvaro Heredia-Lidón, Christian García-Mascarell, Luis Miguel Echeverry-Quiceno, Daniel Herrera-Escartín, Juan Fortea, Edith Pomarol-Clotet, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano:
Landmark Anything: Multi-View Consensus Convolutional Networks Applied to the 3D Landmarking of Anatomical Structures. CCIA 2024: 209-212

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.