6 citations · 7 across the 2 of their papers we have counts for
4 papers
Learning Anatomical Segmentations for Tractography from Diffusion MRI
Christian Ewert, David Kügler, Anastasia Yendiki +1
Deep learning approaches for diffusion MRI have so far focused primarily on voxel-based segmentation of lesions or white-matter fiber tracts. A drawback of representing tracts as v…
Leveraging Spatial Uncertainty for Online Error Compensation in EMT
Henry Krumb, Sofie Hofmann, David Kügler +5
Purpose: Electromagnetic Tracking (EMT) can potentially complement fluoroscopic navigation, reducing radiation exposure in a hybrid setting. Due to the susceptibility to external d…
How Bad is Good enough: Noisy annotations for instrument pose estimation
David Kügler, Anirban Mukhopadhyay
Though analysis of Medical Images by Deep Learning achieves unprecedented results across various applications, the effect of \emph{noisy training annotations} is rarely studied in…
Exploring Adversarial Examples: Patterns of One-Pixel Attacks
David Kügler, Alexander Distergoft, Arjan Kuijper +1
Failure cases of black-box deep learning, e.g. adversarial examples, might have severe consequences in healthcare. Yet such failures are mostly studied in the context of real-world…