RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations

arXiv:2305.12854v2 Announce Type: replace-cross
Abstract: Diffeomorphic registration frameworks such as Large Deformation Diffeomorphic Metric Mapping (LDDMM) are used in computer graphics and the medical domain for atlas building, statistical latent modeling, and pairwise and groupwise registration. In recent years, researchers have developed neural network-based approaches regarding diffeomorphic registration to improve the accuracy and computational efficiency of traditional methods. In this work, we focus on a limitation of neural network-based atlas building and statistical latent modeling methods, namely that they either …

abstract accuracy arxiv atlas building computer computer graphics cs.cv cs.gr domain eess.iv frameworks graphics implicit neural representations mapping medical modeling network neural network registration researchers statistical type via