%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 }