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A deep residual learning implementation of Metamorphosis
In medical imaging, most of the image registration methods implicitly assume a one-to-one correspondence between the source and target images (i. e., diffeomorphism).
Knowledge distillation from multi-modal to mono-modal segmentation networks
In this paper, we propose KD-Net, a framework to transfer knowledge from a trained multi-modal network (teacher) to a mono-modal one (student).
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