%0 Conference Paper %1 Gatidis2017ISMRM %A Gatidis, Sergios %A Liebgott, Annika %A Schwartz, Martin %A Martirosian, Petros %A Schick, Fritz %A Nikolaou, Konstantin %A Yang, Bin %A Küstner, Thomas %B Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) %C Honolulu, Hawaii, USA %D 2017 %K %T Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification

@inproceedings{Gatidis2017ISMRM, added-at = {2023-08-31T14:18:36.000+0200}, address = {Honolulu, Hawaii, USA}, author = {Gatidis, Sergios and Liebgott, Annika and Schwartz, Martin and Martirosian, Petros and Schick, Fritz and Nikolaou, Konstantin and Yang, Bin and K\"ustner, Thomas}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2074b49f5a5badd9745782ab4a7766409/puma-wartung}, booktitle = {Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM)}, interhash = {cfb465bc7765fa341252a8cfab64ac69}, intrahash = {074b49f5a5badd9745782ab4a7766409}, keywords = {}, month = apr, timestamp = {2023-08-31T12:18:36.000+0200}, title = {Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification}, year = 2017 }