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SymReg-GAN: Symmetric Image Registration with Generative Adversarial Networks
2021
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetric image registration estimates bi-directional spatial transformations between images while enforcing an inverse-consistency. Its capability of eliminating bias introduced inevitably by generic single-directional image registration allows more precise analysis in different interdisciplinary applications of image registration, e.g. computational anatomy and shape analysis. However, most existing symmetric registration techniques especially for multimodal images are limited by low speed
doi:10.1109/tpami.2021.3083543
pmid:34033536
fatcat:ggeds7ldhjb37nhqavcvfuwd2a