Publications

T. Küstner, S. Gatidis, A. Liebgott, M. Schwartz, L. Mauch, P. Martirosian, H. Schmidt, NF. Schwenzer, K. Nikolaou, F. Bamberg, B. Yang, and F. Schick. A machine-learning framework for automatic reference-free quality assessment in MRI. Magnetic Resonance Imaging, (53):134 - 147, 2018. [PUMA: iqa kspaceastronauts machinelearning] URL

Annika Liebgott, Sebastian Milde, Marvin Jandt, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Fritz Schick, Konstantin Nikolaou, Bin Yang, Sergios Gatidis, and Thomas Küstner. Impact of Labeling Process on Automated Motion Artifact Detection in Whole-Body MR Images with a Deep Learning Approach: A Comparative Study. Proceedings of the ISMRM Workshop on Machine Learning, 2018. [PUMA: iqa machinelearning myown]

Sergios Gatidis, Annika Liebgott, Holger Schmidt, Nina F. Schwenzer, Petros Martirosian, Konstantin Nikolaou, Fritz Schick, Bin Yang, and Thomas Küstner. Automated image quality assessment in whole-body MRI. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, November 2016. [PUMA: IQA MachineLearning kSpaceAstronauts myown]

Annika Liebgott, Thomas Küstner, Sergios Gatidis, Fritz Schick, and Bin Yang. Active Learning for Magnetic Resonance Image Quality Assessment. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016. [PUMA: IQA MachineLearning kSpaceAstronauts myown] URL

Thomas Küstner, Parnia Bahar, Christian Würslin, Sergios Gatidis, Petros Martirosian, Nina F. Schwenzer, Bin Yang, and Holger Schmidt. A new approach for automatic image quality assessment. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Canada, June 2015. [PUMA: IQA MachineLearning kSpaceAstronauts myown]