An instrument qualifying human balance skills: Attitude reference system for an ankle exercise board. - Jörg F. Wagner; Volker Lippens; Volker Nagel; Michael M. Morlock; Matthias Vollmer (Int. J. Comput. Sci. Sport, 2002)

Abstract: Automated Segmentation of Bones for the Age Assessment in 3D MR Images using Convolutional Neural Networks. - Markus auf der Mauer; Paul-Louis Pröve; Eilin Jopp; Jochen Herrmann; Michael Groth; Michael M. Morlock; Ben Stanczus; Dennis Säring (Bildverarbeitung für die Medizin, 2018)

Deep-learning-based CT motion artifact recognition in coronary arteries. - Tanja Elss; Hannes Nickisch; Tobias Wissel; Holger Schmitt; Mani Vembar; Michael M. Morlock; Michael Grass 001 (Image Processing, 2018)

Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Samer Hakmi; Clemens Spink; Michael M. Morlock; Michael Grass 001 (MIDL, 2019)

Motion estimation and correction in cardiac CT angiography images using convolutional neural networks. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Rolf-Dieter Bippus; Holger Schmitt; Michael M. Morlock; Michael Grass 001 (Comput. Medical Imaging Graph., 2019)

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Rolf Bippus; Holger Schmitt; Michael M. Morlock; Michael Grass 001 (Medical Image Anal., 2019)

Learning metal artifact reduction in cardiac CT images with moving pacemakers. - Tanja Lossau; Hannes Nickisch; Tobias Wissel; Michael M. Morlock; Michael Grass 001 (Medical Image Anal., 2020)

Understanding Error Patterns: An Analysis of Alignment Errors in Rigid 3D Body Scans. - Julian Meißner; Michael Kisiel; Nagarajan M. Thoppey; Michael M. Morlock; Sebastian Bannwarth (J. Imaging, 2023)