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Scale-Equivariant Deep Learning for 3D Data (bibtex)
by T Wimmer, V Golkov, HN Dang, M Zaiss, A Maier and D Cremers
Reference:
Scale-Equivariant Deep Learning for 3D Data (T Wimmer, V Golkov, HN Dang, M Zaiss, A Maier and D Cremers), In arXiv preprint, 2023.
Bibtex Entry:
@article{Wimmer2023,
title = {Scale-Equivariant Deep Learning for 3D Data},
author = {T Wimmer and V Golkov and HN Dang and M Zaiss and A Maier and D Cremers},
year = {2023},
journal = {arXiv preprint},
eprint = {2304.05864},
eprinttype = {arXiv},
primaryclass = {cs.CV},
keywords = {deep learning, equivariant deep learning, scale-equivariance, magnetic resonance imaging, image segmentation, medical imaging},
}
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