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]
@article{HeringKHH19-0,
title = {Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans},
author = {Alessa Hering and Sven Kuckertz and Stefan Heldmann and Mattias P. Heinrich},
year = {2019},
doi = {10.1007/s11548-019-02068-z},
url = {https://doi.org/10.1007/s11548-019-02068-z},
researchr = {https://researchr.org/publication/HeringKHH19-0},
cites = {0},
citedby = {0},
journal = {Int. J. Computer Assisted Radiology and Surgery},
volume = {14},
number = {11},
pages = {1901-1912},
}