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%0 Conference Paper
%1 Kuestner2018ISMRM_Seg
%A Küstner, Thomas
%A Fischer, Marc
%A Müller, Sarah
%A Gutmann, Daniel
%A Nikolaou, Konstantin
%A Bamberg, Fabian
%A Yang, Bin
%A Schick, Fritz
%A Gatidis, Sergios
%B Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM)
%C Paris, France
%D 2018
%K
%T Automated segmentation of abdominal organs in T1-weighted MR images using a deep learning approach: application on a large epidemiological MR study
@inproceedings{Kuestner2018ISMRM_Seg,
added-at = {2023-08-31T14:18:28.000+0200},
address = {Paris, France},
author = {K\"ustner, Thomas and Fischer, Marc and M\"uller, Sarah and Gutmann, Daniel and Nikolaou, Konstantin and Bamberg, Fabian and Yang, Bin and Schick, Fritz and Gatidis, Sergios},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2928d122eb663977a14162257f2eaa66a/puma-wartung},
booktitle = {Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM)},
interhash = {cc6cdf6dc2d47e15ab0e441b967105f3},
intrahash = {928d122eb663977a14162257f2eaa66a},
keywords = {},
month = jun,
timestamp = {2023-08-31T12:18:28.000+0200},
title = {Automated segmentation of abdominal organs in T1-weighted MR images using a deep learning approach: application on a large epidemiological MR study},
year = 2018
}