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In-vivo MR-derived non-rigid motion correction of simultaneously acquired PET, , , , , , und . (2015)ImFEATbox: a toolbox for extraction and analysis of medical image features, , , , , , , , , und . International Journal of Computer Assisted Radiology and Surgery, 13 (12): 1881-1893 (2018)Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk, , , , , , , , , und 2 andere Autor(en). 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Seite 976-985. Piscataway, IEEE, (2020)Retrospective Correction of Motion-Affected MR Images using Deep Learning Frameworks, , , , , und . Magnetic Resonance in Medicine, 82 (4): 1527-1540 (2019)Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing, , , , und . IEEE access, (2023)Uncertainty-Based Biological Age Estimation of Brain MRI Scans, , , , , und . ICASSP 2021 : 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seite 1100-1104. Piscataway, IEEE, (2021)Motion imaging in thoracic and abdominal MRI using a self-navigated Cartesian Compressed Sensing acquisition and reconstruction scheme, , , , , , , , und . Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)Motion artifact quantification and localization for whole-body MRI, , , , , , , , , und . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, (Juni 2018)ESPReSSo: A Compressed Sensing partial k-space acquisition and reconstruction, , , , , und . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Milano, Italy, (Mai 2014)Active Learning for automated reference-free MR image quality assessment: descreasing the number of required training samples by reduction of intra-batch redundancy, , , , , , und . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, (Juni 2018)