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Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex

Image registration is typically formulated as an optimization problem with multiple tunable, manually set parameters. We present a principled framework for learning thousands of parameters of registration cost functions, such as a spatially-varying tradeoff between the image dissimilarity and regula...

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Detalhes bibliográficos
Main Authors: Yeo, B. T. Thomas, Sabuncu, Mert R., Vercauteren, Tom, Holt, Daphne J., Amunts, Katrin, Zilles, Karl, Golland, Polina, Fischl, Bruce
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3770488/
https://ncbi.nlm.nih.gov/pubmed/20529736
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2010.2049497
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