Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks

doi:doi:10.57702/0im5mixj

Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks

Medical image registration aims to identify the spatial deformation between images of the same anatomical region and is fundamental to image-based diagnostics and therapy.

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Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
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Anna Reithmeira, Julia A. Schnabela, Veronika A. Zimmera (2024). Dataset: Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks. https://doi.org/10.57702/0im5mixj

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Anna Reithmeira
More Authors	Julia A. Schnabela Veronika A. Zimmera
Homepage	https://github.com/annareithmeir/elastic-regularization-hypermorph