A contextual maximum likelihood framework for modeling image registration

We introduce a novel probabilistic framework for image registration. This framework considers, in contrast to previous ones, local neighborhood information. We integrate the neighborhood information into the framework by adding layers of latent random variables, characterizing the descriptive inform...

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Bibliographic Details
Main Authors: Wachinger, Christian (Contributor), Navab, Nassir (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-05-02T15:29:06Z.
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