This paper is in the following e-collection/theme issue:

Short Paper (29) Virtual Patients (62) Artificial Intelligence (1831) Medical imaging (74) Imaging Informatics (250) Applications of AI (192)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63130, first published .
Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study

Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study

Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study

Authors of this article:

Fabrice Ferré1 Author Orcid Image ;   Stéphanie Allassonnière2 Author Orcid Image ;   Clément Chadebec2 Author Orcid Image ;   Vincent Minville1 Author Orcid Image
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