Jan. 26, 2022, 2:11 a.m. | Gerard Snaauw (1), Michele Sasdelli (1), Gabriel Maicas (1), Stephan Lau (1 and 2), Johan Verjans (1 and 2), Mark Jenkinson (1 and 2), Gustavo Carneir

cs.LG updates on arXiv.org arxiv.org

Many applications in image-guided surgery and therapy require fast and
reliable non-linear, multi-modal image registration. Recently proposed
unsupervised deep learning-based registration methods have demonstrated
superior performance compared to iterative methods in just a fraction of the
time. Most of the learning-based methods have focused on mono-modal image
registration. The extension to multi-modal registration depends on the use of
an appropriate similarity function, such as the mutual information (MI). We
propose guiding the training of a deep learning-based registration method with …

arxiv brain images information unsupervised

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