%0 Journal Article %1 kustner2018machinelearning %A Küstner, Thomas %A Gatidis, Sergios %A Liebgott, Annika %A Schwartz, Martin %A Mauch, Lukas %A Martirosian, Petros %A Schmidt, Holger %A Schwenzer, Nina Franziska %A Nikolaou, Konstantin %A Bamberg, Fabian %A Yang, Bin %A Schick, Fritz %D 2018 %I Elsevier %J Magnetic Resonance Imaging %K %P 134-147 %R 10.1016/j.mri.2018.07.003 %T A machine-learning framework for automatic reference-free quality assessment in MRI %V 53

@article{kustner2018machinelearning, added-at = {2023-08-31T16:43:20.000+0200}, affiliation = {Kustner, T (Reprint Author), Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany. Kustner, T (Reprint Author), Univ Tubingen, Sect Expt Radiol, Tubingen, Germany. Kuestner, T.; Liebgott, A.; Schwartz, M.; Mauch, L.; Yang, B., Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany. Gatidis, S.; Liebgott, A.; Schmidt, H.; Schwenzer, N. F.; Nikolaou, K.; Bamberg, F., Univ Tubingen, Dept Radiol, Tubingen, Germany. Kuestner, T.; Schwartz, M.; Martirosian, P.; Schick, F., Univ Tubingen, Sect Expt Radiol, Tubingen, Germany.}, author = {Küstner, Thomas and Gatidis, Sergios and Liebgott, Annika and Schwartz, Martin and Mauch, Lukas and Martirosian, Petros and Schmidt, Holger and Schwenzer, Nina Franziska and Nikolaou, Konstantin and Bamberg, Fabian and Yang, Bin and Schick, Fritz}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e4416f7615c5050217b9edbab3f9bd61/puma-wartung}, doi = {10.1016/j.mri.2018.07.003}, interhash = {c4b63d7fae784e88367e70b9c34b83be}, intrahash = {e4416f7615c5050217b9edbab3f9bd61}, issn = {{0730-725X} and {1873-5894}}, journal = {Magnetic Resonance Imaging}, keywords = {}, language = {eng}, orcid-numbers = {Kustner, Thomas/0000-0002-0353-4898}, pages = {134-147}, publisher = {Elsevier}, research-areas = {Radiology, Nuclear Medicine & Medical Imaging}, timestamp = {2023-08-31T14:43:20.000+0200}, title = {A machine-learning framework for automatic reference-free quality assessment in MRI}, unique-id = {ISI:000445591900018}, volume = 53, year = 2018 }