"A Critical Comparison Between Template-Based and Architecture-Reused Deep ..."

Álvaro Heredia-Lidón et al. (2024)

> Home

Details and statistics

DOI: 10.1007/978-3-031-75291-9_8

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/miccai/HerediaLidonGEHHGPFFMS24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/miccai/HerediaLidonGEHHGPFFMS24
Álvaro Heredia-Lidón, Christian García-Mascarell, Luis Miguel Echeverry-Quiceno, Noemí Hostalet, Daniel Herrera-Escartín, Alejandro González, Edith Pomarol-Clotet, Juan Fortea, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano:
A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures. ShapeMI@MICCAI 2024: 97-111

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.