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...
| Huvudupphovsmän: | , , , , , , , |
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| Materialtyp: | Artikel |
| Språk: | en_US |
| Publicerad: |
Institute of Electrical and Electronics Engineers
2011
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| Länkar: | http://hdl.handle.net/1721.1/61715 https://orcid.org/0000-0002-5002-1227 https://orcid.org/0000-0003-2516-731X |