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• W2950997711 abstract "Multimodal registration is a challenging problem in medical imaging due the high variability of tissue appearance under different imaging modalities. The crucial component here is the choice of the right similarity measure. We make a step towards a general learning-based solution that can be adapted to specific situations and present a metric based on a convolutional neural network. Our network can be trained from scratch even from a few aligned image pairs. The metric is validated on intersubject deformable registration on a dataset different from the one used for training, demonstrating good generalization. In this task, we outperform mutual information by a significant margin." @default.
• W2950997711 created "2019-06-27" @default.
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• W2950997711 date "2016-09-17" @default.
• W2950997711 modified "2023-09-27" @default.
• W2950997711 title "A Deep Metric for Multimodal Registration" @default.
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• W2950997711 hasPublicationYear "2016" @default.
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