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Learning the Effect of Registration Hyperparameters with HyperMorph

We introduce HyperMorph, a framework that facilitates efficient hyperparameter tuning in learning-based deformable image registration. Classical registration algorithms perform an iterative pair-wise optimization to compute a deformation field that aligns two images. Recent learning-based approaches...

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Detalles Bibliográficos
Autores principales:	Hoopes, Andrew, Hoffmann, Malte, Greve, Douglas N., Fischl, Bruce, Guttag, John, Dalca, Adrian V.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491317/ https://www.ncbi.nlm.nih.gov/pubmed/36147449

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