"Memory-efficient 2.5D convolutional transformer networks for multi-modal ..."

Alessa Hering et al. (2019)

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DOI: 10.1007/S11548-019-02068-Z

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type: Journal Article

metadata version: 2022-01-03

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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. Comput. Assist. Radiol. Surg. 14(11): 1901-1912 (2019)

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