%0 Journal Article %1 journals/corr/abs-2209-11531 %A Packhäuser, Kai %A Gündel, Sebastian %A Thamm, Florian %A Denzinger, Felix %A Maier, Andreas K. %D 2022 %J CoRR %K dblp %T Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy. %U http://dblp.uni-trier.de/db/journals/corr/corr2209.html#abs-2209-11531 %V abs/2209.11531

@article{journals/corr/abs-2209-11531, added-at = {2022-09-29T00:00:00.000+0200}, author = {Packhäuser, Kai and Gündel, Sebastian and Thamm, Florian and Denzinger, Felix and Maier, Andreas K.}, biburl = {https://www.bibsonomy.org/bibtex/2b28015dcde485ef437f765cc8f168a82/dblp}, ee = {https://doi.org/10.48550/arXiv.2209.11531}, interhash = {cee26e0f23ce42b956b069b213a4af1e}, intrahash = {b28015dcde485ef437f765cc8f168a82}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-09T00:16:25.000+0200}, title = {Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2209.html#abs-2209-11531}, volume = {abs/2209.11531}, year = 2022 }