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, Petros Martirosian, Thomas Küstner, Ilja Bezrukov, M. Scharpf, Christina Schraml, Nina F. Schwenzer, and 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, May 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, and Holger Schmidt. Combined unsupervised-supervised classification of multiparametric PET/MRI data: Application to prostate cancer. NMR in biomedicine, (28)7:914-22, July 2015. [PUMA: MachineLearning kSpaceAstronauts myown] URL

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]

Thomas Küstner, Martin Schwartz, Annika Kaupp, Petros Martirosian, Sergios Gatidis, Nina F. Schwenzer, Fritz Schick, Holger Schmidt, and Bin Yang. An Active Learning platform for automatic MR image quality assessment. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Singapore, May 2016. [PUMA: IQA MachineLearning kSpaceAstronauts myown]

Thomas Küstner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, and Bin Yang. An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality Assessment. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, April 2017. [PUMA: IQA MachineLearning kSpaceAstronauts myown]