| Machine-learning approach for local classification of crystalline structures in multiphase systems C Dietz, T Kretz, MH Thoma Physical Review E 96 (1), 011301, 2017 | 52 | 2017 |
| Mammography image quality assurance using deep learning T Kretz, KR Müller, T Schaeffter, C Elster IEEE Transactions on Biomedical Engineering 67 (12), 3317-3326, 2020 | 37 | 2020 |
| Determination of contrast-detail curves in mammography image quality assessment by a parametric model observer T Kretz, M Anton, T Schaeffter, C Elster Physica medica 62, 120-128, 2019 | 8 | 2019 |
| A simple parametric model observer for quality assurance in computer tomography M Anton, A Khanin, T Kretz, M Reginatto, C Elster Physics in Medicine & Biology 63 (7), 075011, 2018 | 7 | 2018 |
| Development of model observers for quantitative assessment of mammography image quality T Kretz Dissertation, Berlin, Technische Universität Berlin, 2020, 2020 | 2 | 2020 |
| Metrology in Medicine T Schaeffter, U Ankerhold, B Güttler, C Koch, J Stenger, M Bug, T Fedtke, ... PTB-OAR, 2020 | | 2020 |
| Image quality assessment for CT and mammography M Anton, T Kretz, M Reginatto, C Elster PTB Mitteilungen 130 (2), 71-77, 2020 | | 2020 |
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
