"A multimodal variational autoencoder for estimating progression scores ..."

Virgilio Kmetzsch et al. (2022)

> Home

Details and statistics

DOI: 10.1117/12.2607250

access: closed

type: Conference or Workshop Paper

metadata version: 2024-11-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/miip/KmetzschBSARCGB22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/miip/KmetzschBSARCGB22
Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Vincent Anquetil, Daisy Rinaldi, Agnès Camuzat, Thomas Gareau, Isabelle Le Ber, Olivier Colliot:
A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases. Image Processing 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.