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Imaging Neuroscience (Cambridge, Mass.)|June 5, 2026
Learning-based segmentation of diffusion-weighted MR images with arbitrary <i>q</i>-space samplingsChristian Ewert, David Kügler, Martin Reuter
Neuroimage|February 5, 2022
FastSurferVINN: Building resolution-independence into deep learning segmentation methods-A solution for HighRes brain MRILeonie Henschel, David Kügler, Martin Reuter
Imaging Neuroscience (Cambridge, Mass.)|November 22, 2024
VINNA for neonates: Orientation independence through latent augmentationsLeonie Henschel, David Kügler, Lilla Zöllei, et al.
Neuroimage|May 20, 2023
Quantifying MR head motion in the Rhineland Study - A robust method for population cohortsClemens Pollak, David Kügler, Monique M B Breteler, et al.
Imaging Neuroscience (Cambridge, Mass.)|March 20, 2025
FastSurfer-LIT: Lesion inpainting tool for whole-brain MRI segmentation with tumors, cavities, and abnormalitiesClemens Pollak, David Kügler, Tobias Bauer, et al.
Imaging Neuroscience (Cambridge, Mass.)|May 13, 2026
FastSurfer-CC: A robust, accurate, and comprehensive framework for corpus callosum morphometryClemens Pollak, Kersten Diers, Santiago Estrada, et al.
Imaging Neuroscience (Cambridge, Mass.)|November 22, 2024
Geometric deep learning for diffusion MRI signal reconstruction with continuous samplings (DISCUS)Christian Ewert, David Kügler, Rüdiger Stirnberg, et al.
International Journal of Computer Assisted Radiology and Surgery|May 23, 2020
i3PosNet: instrument pose estimation from X-ray in temporal bone surgeryDavid Kügler, Jannik Sehring, Andrei Stefanov, et al.
International Journal of Computer Assisted Radiology and Surgery|May 23, 2020
Leveraging spatial uncertainty for online error compensation in EMTHenry Krumb, Sofie Hofmann, David Kügler, et al.
Imaging Neuroscience (Cambridge, Mass.)|November 22, 2024
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRISantiago Estrada, David Kügler, Emad Bahrami, et al.
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