Publications

T. Küstner, S. Gatidis, A. Liebgott, M. Schwartz, L. Mauch, P. Martirosian, H. Schmidt, NF. Schwenzer, K. Nikolaou, F. Bamberg, B. Yang, und 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, und 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, Petros Martirosian, Thomas Küstner, Ilja Bezrukov, M. Scharpf, Christina Schraml, Nina F. Schwenzer, und Holger Schmidt. Combined Unsupervised-Supervised Classification of Multiparametric PET/MRI Imaging Data of the Prostate. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Milano, Italy, Mai 2014. [PUMA: MachineLearning kSpaceAstronauts myown]

Sergios Gatidis, M. Scharpf, Petros Martirosian, Ilja Bezrukov, Thomas Küstner, J. Hennenlotter, S. Kruck, Sascha Kaufmann, Christina Schraml, Christian La Fougère, Nina F. Schwenzer, und Holger Schmidt. Combined unsupervised-supervised classification of multiparametric PET/MRI data: Application to prostate cancer. NMR in biomedicine, (28)7:914-22, Juli 2015. [PUMA: MachineLearning kSpaceAstronauts myown] URL

Sergios Gatidis, Annika Liebgott, Holger Schmidt, Nina F. Schwenzer, Petros Martirosian, Konstantin Nikolaou, Fritz Schick, Bin Yang, und 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]