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

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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Main Authors: Yeo, Boon Thye Thomas (Contributor), Sabuncu, Mert R. (Contributor), Vercauteren, Tom (Author), Holt, Daphne J. (Author), Amunts, Katrin (Author), Zilles, Karl (Author), Golland, Polina (Contributor), Fischl, Bruce (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2011-03-17T19:39:21Z.
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