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Titlebook: Biomedical Image Registration; 5th International Wo Benoît M. Dawant,Gary E. Christensen,Daniel Ruecke Conference proceedings 2012 Springer

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Conference proceedings 2012ssee, USA, in July 2012. The 20 full papers and 11 poster papers included in this volume were carefully reviewed and selected from 44 submitted papers. They full papers are organized in the following topical sections: multiple image sets; brain; non-rigid anatomy; and frameworks and similarity measu
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https://doi.org/10.1007/978-3-662-57996-1easure used. We show that our algorithm is capable of detecting the distribution and magnitude of registration error in a simulated case. Using real data, our algorithm also is able to identify registration error that is consistent with error that can be seen visually.
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Sarah Stauffer,Aaron Gardner,Philip Wismerent permitting, among other things, enforcement of stationary boundary conditions. In addition to theoretical and practical discussions of our contribution, we also describe its parallelized implementation as open source in the Insight Toolkit and perform an evaluation on publicly available brain data.
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Consolidation of Axiomatic Set Theory CFS can be embedded within any algorithm minimizing a two-term compound cost function depending on a regularization parameter. We report experimental results on the registration of several datasets of laparoscopic images.
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Logic and Type Theory in the Interwar Periodl and the negative sum of squared differences for concreteness. At the heart of the proposed method is a novel shrinkage-based estimate of the distribution on deformation parameters. We present some empirical evaluations of the method in 2-D using images of the lung and liver, and the method generalizes to 3-D.
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