David Kügler

According to our database1, David Kügler authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts.
NeuroImage, 2023

FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI.
CoRR, 2023

Estimating Head Motion from Mr-Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

FastSurferVINN: Building resolution-independence into deep learning segmentation methods - A solution for HighRes brain MRI.
NeuroImage, 2022

<i>CerebNet</i>: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation.
NeuroImage, 2022

Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple Resolutions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Anatomical Segmentations for Tractography from Diffusion MRI.
CoRR, 2020

i3PosNet: instrument pose estimation from X-ray in temporal bone surgery.
Int. J. Comput. Assist. Radiol. Surg., 2020

Leveraging spatial uncertainty for online error compensation in EMT.
Int. J. Comput. Assist. Radiol. Surg., 2020

AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Putting Trust First in the Translation of AI for Healthcare.
ERCIM News, 2019

High-precision evaluation of electromagnetic tracking.
Int. J. Comput. Assist. Radiol. Surg., 2019

How Bad is Good enough: Noisy annotations for instrument pose estimation.
CoRR, 2018

i3PosNet: Instrument Pose Estimation from X-Ray.
CoRR, 2018

Instrument Pose Estimation Using Registration for Otobasis Surgery.
Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018

Exploring Adversarial Examples - Patterns of One-Pixel Attacks.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Control methods for robot-based predictive compensation of respiratory motion.
Biomed. Signal Process. Control., 2017

A three-step approach to track the position and the orientation of a surgical instrument in x-ray images.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016