A probabilistic model regularizes hidden layers across multiple depths of two CNNs to learn feature-level transformations for unsupervised 3D brain image registration and outperforms prior methods on benchmarks.
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Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
A probabilistic model regularizes hidden layers across multiple depths of two CNNs to learn feature-level transformations for unsupervised 3D brain image registration and outperforms prior methods on benchmarks.