36 citations · 76 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
i3PosNet: Instrument Pose Estimation from X-Ray in temporal bone surgery
David Kügler, Jannik Sehring, Andrei Stefanov +5
Purpose: Accurate estimation of the position and orientation (pose) of surgical instruments is crucial for delicate minimally invasive temporal bone surgery. Current techniques lac…