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David Kügler
David Kügler
Deutsches Zentrum für neurodegenerative Erkrankungen
Verified email at dzne.de - Homepage
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Cited by
Year
i3PosNet: instrument pose estimation from X-ray in temporal bone surgery.
D Kügler, J Sehring, A Stefanov, I Stenin, J Kristin, T Klenzner, J Schipper, ...
International Journal of Computer Assisted Radiology and Surgery 15 (7 …, 2020
31*2020
FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI
L Henschel, D Kügler, M Reuter
NeuroImage 251, 118933, 2022
262022
High-precision evaluation of electromagnetic tracking
D Kügler, H Krumb, J Bredemann, I Stenin, J Kristin, T Klenzner, ...
International journal of computer assisted radiology and surgery 14 (7 …, 2019
152019
CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation
J Faber, D Kügler, E Bahrami, LS Heinz, D Timmann, TM Ernst, ...
NeuroImage 264, 119703, 2022
142022
Control methods for robot-based predictive compensation of respiratory motion
H Arenbeck, L Wittschier, D Kügler, D Abel
Biomedical Signal Processing and Control 34, 16-24, 2017
82017
Are 2.5 D approaches superior to 3D deep networks in whole brain segmentation?
S Roy, D Kügler, M Reuter
72021
Exploring Adversarial Examples: Patterns of One-Pixel Attacks
D Kügler, A Distergoft, A Kuijper, A Mukhopadhyay
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
72018
Physical Attacks in Dermoscopy: An Evaluation of Robustness for clinical Deep-Learning
D Kügler, A Bucher, J Kleemann, A Distergoft, A Jabhe, M Uecker, ...
62018
Quantifying MR head motion in the Rhineland Study–A robust method for population cohorts
C Pollak, D Kügler, MMB Breteler, M Reuter
NeuroImage 275, 120176, 2023
52023
Instrument Pose Estimation Using Registration for Otobasis Surgery
D Kügler, MA Jastrzebski, A Mukhopadhyay
International Workshop on Biomedical Image Registration, 105-114, 2018
52018
Leveraging spatial uncertainty for online error compensation in emt
H Krumb, S Hofmann, D Kügler, A Ghazy, B Dorweiler, J Bredemann, ...
International Journal of Computer Assisted Radiology and Surgery 15, 1043-1051, 2020
42020
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
D Kügler, M Uecker, A Kuijper, A Mukhopadhyay
International Conference on Medical Image Computing and Computer-Assisted …, 2020
32020
Learning Anatomical Segmentations for Tractography from Diffusion MRI
C Ewert, D Kügler, A Yendiki, M Reuter
Computational Diffusion MRI, 81-93, 2021
12021
Putting Trust first in the Translation of AI for healthcare
A Mukhopadhyay, D Kügler, A Bucher, D Fellner, T Vogl
ERCIM news, 20-22, 2019
12019
How Bad is Good enough: Noisy annotations for instrument pose estimation
D Kügler, A Mukhopadhyay
arXiv preprint arXiv:1806.07836, 2018
12018
Estimating Head Motion from MR-Images
C Pollak, D Kügler, M Reuter
arXiv preprint arXiv:2302.14490, 2023
2023
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions
L Henschel, D Kügler, DS Andrews, CW Nordahl, M Reuter
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
2022
CerebNet: Deep learning cerebellar subsegmentation for fast and reliable atrophy quantification
J Faber, D Kuegler, E Bahrami, L Heinz, D Timmann, T Ernst, ...
MOVEMENT DISORDERS 37, S35-S36, 2022
2022
Adversarial Attacks in der Erkennung von Pneumothoraxes aus Röntgenthoraxaufnahmen: Eine beachtenswerte Schwachstelle in der Translation Künstlicher Neuronaler Netzwerke in die …
A Bucher, A Distergoft, D Kuegler, A Rajkarnikar, M Uecker, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2020
2020
Eine praktische Verteidigungsmethode gegen digitale Bildmanipulationen bei der Erkennung von Pneumothoraxes aus Röntgenthoraxaufnahmen: Sicherung der Robustheit von klinischen …
A Bucher, D Kuegler, A Distergoft, A Rajkarnikar, M Uecker, P Kujiper, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2020
2020
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