Mesh2SSM++ learns correspondence-based statistical shape models from unlabeled 3D meshes using a normalizing flow latent space and surface projection, with built-in uncertainty estimates.
A radiation-free classification pipeline for craniosynostosis using statistical shape modeling,
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Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++ learns correspondence-based statistical shape models from unlabeled 3D meshes using a normalizing flow latent space and surface projection, with built-in uncertainty estimates.