Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans - researchr publication

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Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich. Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. Int. J. Computer Assisted Radiology and Surgery, 14(11):1901-1912, 2019. [doi]

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