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Discrete formulations of image registration offer the promise of dense deformations via optimizations robust to large motions or poor initialization. However, many available efficient algorithms are not well suited to medical or biological data. We propose a novel multiscale Markov Random Field formulation for image registration, which reduces the number of labels needed at each scale while preserving...
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