Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration
We propose a deformable registration algorithm based on unsupervised learning of a low-dimensional probabilistic parameterization of deformations. We model registration in a probabilistic and generative fashion, by applying a conditional variational autoencoder (CVAE) network... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
AutoEncoder
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Generative Models |