Open Access
Longitudinal Variational Autoencoders learn a Riemannian progression model for imaging data
Author(s) -
Benoît Sauty,
Stanley Durrleman
Publication year - 2022
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - computer science , artificial intelligence , longitudinal data , computer vision , mathematics , data mining