Maximizing the Predictivity of Smooth Deformable Image Warps through Cross-Validation

Author:

Bartoli Adrien

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modelling and Simulation,Statistics and Probability

Reference28 articles.

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2. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)

3. Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 11(6), 567–585 (1989)

4. Bro-Nielsen, M., Gramkow, C.: Fast fluid registration of medical images. In: Visualization in Biomedical Imaging (1996)

5. Burrage, K., Williams, A., Erhel, J., Pohl, B.: The implementation of a generalized cross validation algorithm using deflation techniques for linear systems. Technical report, Seminar fur Angewandte Mathematik, July 1994

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