"A Dempster-Shafer approach to trustworthy AI with application to fetal ..."

Lucas Fidon et al. (2022)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2204.02779

access: open

type: Informal or Other Publication

metadata version: 2023-09-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2204-02779
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2204-02779
Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation. CoRR abs/2204.02779 (2022)

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.