3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in constrained-diffeomorphic-image-registration-1
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Use these libraries to find constrained-diffeomorphic-image-registration-1 models and implementations
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A probabilistic generative model is presented and an unsupervised learning-based inference algorithm is derived that uses insights from classical registration methods and makes use of recent developments in convolutional neural networks (CNNs).
Adding a benchmark result helps the community track progress.