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High-precision evaluation of electromagnetic tracking., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (7): 1127-1135 (2019)FastSurferVINN: Building resolution-independence into deep learning segmentation methods - A solution for HighRes brain MRI., , and . NeuroImage, (2022)CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation., , , , , , , , , and 5 other author(s). NeuroImage, (2022)AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation., , , and . MICCAI (3), volume 12263 of Lecture Notes in Computer Science, page 375-384. Springer, (2020)Putting Trust First in the Translation of AI for Healthcare., , , , and . ERCIM News, (2019)A three-step approach to track the position and the orientation of a surgical instrument in x-ray images., and . CURAC, page 186-188. Der Andere Verlag, (2016)Estimating Head Motion from Mr-Images., , and . ISBI, page 1-5. IEEE, (2023)FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI., , , , , , , and . CoRR, (2023)VINNA for Neonates - Orientation Independence through Latent Augmentations., , , and . CoRR, (2023)i3PosNet: instrument pose estimation from X-ray in temporal bone surgery., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (7): 1137-1145 (2020)