LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration
Ubaldo Ramon-Julvez, Mónica Hernández Giménez, Elvira Mayordomo Cámara · Jornadas de jóvenes investigadores del I3A · 2021
In this work, we propose an unsupervised adversarial learning LDDMM method for 3D mono-modal images based on Generative Adversarial Networks. We have successfully implemented two models with stationary and EPDiff constrained non-stationary parameterizations of diffeomorphisms. Our approach has shown a competitive performance with respect to benchmark supervised and model-based methods.