David Kügler

According to our database, David Kügler authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Clemens Pollak, David Kügler, Monique M. B. Breteler, Martin Reuter

NeuroImage, 2023

VINNA for Neonates - Orientation Independence through Latent Augmentations.

Leonie Henschel, David Kügler, Lilla Zöllei, Martin Reuter

CoRR, 2023

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

Santiago Estrada, David Kügler, Emad Bahrami, Peng Xu, Dilshad Mousa, Monique M. B. Breteler, N. Ahmad Aziz, Martin Reuter

CoRR, 2023

Estimating Head Motion from Mr-Images.

Clemens Pollak, David Kügler, Martin Reuter

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

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

Leonie Henschel, David Kügler, Martin Reuter

NeuroImage, 2022

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

Jennifer Faber, David Kügler, Emad Bahrami, Lea-Sophie Heinz, Dagmar Timmann, Thomas Michael Ernst, Katerina Deike-Hofmann, Thomas Klockgether, Bart van de Warrenburg, Judith van Gaalen, Kathrin Reetz, Sandro Romanzetti, Gulin Oz, James M. Joers, Jörn Diedrichsen

NeuroImage, 2022

Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?

Saikat Roy, David Kügler, Martin Reuter

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple Resolutions.

Leonie Henschel, David Kügler, Derek S. Andrews, Christine Wu Nordahl, Martin Reuter

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

Learning Anatomical Segmentations for Tractography from Diffusion MRI.

Christian Ewert, David Kügler, Anastasia Yendiki, Martin Reuter

CoRR, 2020

i3PosNet: instrument pose estimation from X-ray in temporal bone surgery.

David Kügler, Jannik Sehring, Andrei Stefanov, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay

Int. J. Comput. Assist. Radiol. Surg., 2020

Leveraging spatial uncertainty for online error compensation in EMT.

Henry Krumb, Sofie Hofmann, David Kügler, Ahmed Ghazy, Bernhard Dorweiler, Judith Bredemann, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay

Int. J. Comput. Assist. Radiol. Surg., 2020

AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation.

David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Putting Trust First in the Translation of AI for Healthcare.

Anirban Mukhopadhyay, David Kügler, Andreas Bucher, Dieter W. Fellner, Thomas M. Vogl

ERCIM News, 2019

High-precision evaluation of electromagnetic tracking.

David Kügler, Henry Krumb, Judith Bredemann, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

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

David Kügler, Anirban Mukhopadhyay

CoRR, 2018

i3PosNet: Instrument Pose Estimation from X-Ray.

David Kügler, Andrei Stefanov, Anirban Mukhopadhyay

CoRR, 2018

Instrument Pose Estimation Using Registration for Otobasis Surgery.

David Kügler, Martin Andrade Jastrzebski, Anirban Mukhopadhyay

Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018

Exploring Adversarial Examples - Patterns of One-Pixel Attacks.

David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

2017

Control methods for robot-based predictive compensation of respiratory motion.

Henry Arenbeck, Lutz Wittschier, David Kügler, Dirk Abel

Biomed. Signal Process. Control., 2017

2016

A three-step approach to track the position and the orientation of a surgical instrument in x-ray images.

David Kügler, Georgios Sakas

Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016