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Multi-modal non-rigid image registration is widely used in different areas, including medical image analysis and image processing. In this paper, we introduce a new learning-based method for non-rigid image registration. The proposed method is based on a priori knowledge of the joint intensity distribution of a pre-aligned image pair. The similarity and dissimilarity of the expected and observed joint...
Brain magnetic resonance (MR) images consist of different structures and features when they are observed at different scales and layers. Conventional non-rigid brain MR image registration methods mainly estimate the optimum transformation by relying on the information of a single layer and this can lead to the loss of information contained in other layers. In this paper, we propose a multi-layer framework...
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