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Automated whole-body adipose tissue segmentation in T1-weighted fast spin echo imaging in a cohort of subjects at increased risk for type 2 diabetes

T. Küstner, M. Schwartz, Y. Zhu, P. Martirosian, B. Yang, S. Gatidis, J. Machann, and F. Schick. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, (May 2019)

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Univ. -Prof. Dr. -Ing. Felix Fritzen University of Stuttgart

Daniel Fritz University of Stuttgart

Simon Schick University of Stuttgart

Steffen Fritz University of Stuttgart

Daniel Schick University of Stuttgart

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Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Motion Artifact DetectionS. Milde, A. Liebgott, Z. Wu, W. Feng, J. Yang, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis and 3 other author(s). Proceedings of the IEEE Asia-Pacific Signal and Information Processing Association (APSIPA), (2018)Retrospective motion correction using deep learningT. Küstner, B. Yang, F. Schick, S. Gatidis, and K. Armanious. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, (May 2019)Automated whole-body adipose tissue segmentation in T1-weighted fast spin echo imaging in a cohort of subjects at increased risk for type 2 diabetesT. Küstner, M. Schwartz, Y. Zhu, P. Martirosian, B. Yang, S. Gatidis, J. Machann, and F. Schick. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, (May 2019)MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo.T. Kustner, C. Würslin, S. Gatidis, P. Martirosian, K. Nikolaou, N. Schwenzer, F. Schick, B. Yang, and H. Schmidt. IEEE Trans. Med. Imaging, 35 (11): 2447-2458 (2016)RF and coil inhomogeneity correction in 2D leg imagesF. Fallah, C. Wuerslin, F. Schick, and B. Yang. (2015)Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance ImagingT. Küstner, M. Jandt, A. Liebgott, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis, F. Schick, and B. Yang. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 995-999. Piscataway, NJ, IEEE, (2018)Automated reference-free detection of motion artifacts in magnetic resonance imagesT. Küstner, A. Liebgott, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, B. Yang, F. Schick, and S. Gatidis. Magnetic Resonance Materials in Physics Biology and Medicine, 31 (2): 243-256 (2018)A Fully Automatic Reference Deconvolution Strategy to Increase the Accuracy of In Vivo Lipid Signal QuantificationL. Mauch, G. Steidle, J. Machann, B. Yang, and F. Schick. Magnetic resonance in medicine, 75 (4): 1391-1401 (2016)A machine-learning framework for automatic reference-free quality assessment in MRIT. Küstner, S. Gatidis, A. Liebgott, M. Schwartz, L. Mauch, P. Martirosian, H. Schmidt, N. Schwenzer, K. Nikolaou, F. Bamberg and 2 other author(s). Magnetic Resonance Imaging, (2018)Motion correction on a human PET/MR scanner: Clinical feasibility of a motion correction system in patients – an update reportT. Küstner, C. Würslin, M. Schwartz, H. Fayad, T. Merlin, C. Gilliam, T. Blu, P. Martirosian, F. Schick, B. Yang and 2 other author(s). Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)