122 citations · 175 across the 16 of their papers we have counts for
5 papers · 1 filter
Automated Estimation of Anatomical Risk Metrics for Endoscopic Sinus Surgery Using Deep Learning
Konrad Reuter, Lennart Thaysen, Bilkay Doruk +7
Endoscopic sinus surgery requires careful preoperative assessment of the skull base anatomy to minimize risks such as cerebrospinal fluid leakage. Anatomical risk scores like the K…
Deep Learning for High Speed Optical Coherence Elastography with a Fiber Scanning Endoscope
Maximilian Neidhardt, Sarah Latus, Tim Eixmann +2
Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via clinical imaging systems, e.g., ultrasound or magnetic resonance imaging. Typica…
Tracking Any Point Methods for Markerless 3D Tissue Tracking in Endoscopic Stereo Images
Konrad Reuter, Suresh Guttikonda, Sarah Latus +4
Minimally invasive surgery presents challenges such as dynamic tissue motion and a limited field of view. Accurate tissue tracking has the potential to support surgical guidance, i…
Do We Need Pre-Processing for Deep Learning Based Ultrasound Shear Wave Elastography?
Sarah Grube, Sören Grünhagen, Sarah Latus +2
Estimating the elasticity of soft tissue can provide useful information for various diagnostic applications. Ultrasound shear wave elastography offers a non-invasive approach. Howe…
A Mobile Robotic Approach to Autonomous Surface Scanning in Legal Medicine
Sarah Grube, Sarah Latus, Martin Fischer +4
Purpose: Comprehensive legal medicine documentation includes both an internal but also an external examination of the corpse. Typically, this documentation is conducted manually du…