@article{Ammann2023,
author = {Ammann, Clemens and Hadler, Thomas and Gröschel, Jan and Kolbitsch, Christoph and Schulz-Menger, Jeanette},
year = {2023},
language = {eng},
copyright = {https://creativecommons.org/licenses/by/4.0/},
title = {Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations},
volume = {10},
url = "http://dx.doi.org/10.17169/refubium-40547",
}