9 citations · 10 across the 11 of their papers we have counts for
12 papers
Predictive Multi-Landmark OCT Tracking for Increased Motion Robustness
Konrad Reuter, Suresh Guttikonda, Chaitali Uday Karekar +2
Optical coherence tomography is a promising modality for markerless motion tracking due to its high spatial resolution and inherent depth perception. However, existing OCT-based tr…
Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)
Adam Schmidt, Mert Asim Karaoglu, Zijian Wu +32
Point tracking in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-based scanning…
6D Robotic OCT Scanning of Curved Tissue Surfaces
Suresh Guttikonda, Maximilian Neidhardt, Vidas Raudonis +1
Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial and temporal resolution. For imaging larger tissue structures, OCT probes need to…
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…
A Digital Twin for Robotic Post Mortem Tissue Sampling using Virtual Reality
Maximilian Neidhardt, Ludwig Bosse, Vidas Raudonis +4
Studying tissue samples obtained during autopsies is the gold standard when diagnosing the cause of death and for understanding disease pathophysiology. Recently, the interest in p…
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…
Robust Tracking with Particle Filtering for Fluorescent Cardiac Imaging
Suresh Guttikonda, Maximilian Neidhart, Johanna Sprenger +3
Intraoperative fluorescent cardiac imaging enables quality control following coronary bypass grafting surgery. We can estimate local quantitative indicators, such as cardiac perfus…
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…
A Calibration Approach for Elasticity Estimation with Medical Tools
Sarah Grube, Maximilian Neidhardt, Anna-Katarina Herrmann +5
Soft tissue elasticity is directly related to different stages of diseases and can be used for tissue identification during minimally invasive procedures. By palpating a tissue wit…
A Modified da Vinci Surgical Instrument for OCE based Elasticity Estimation with Deep Learning
Maximilian Neidhardt, Robin Mieling, Sarah Latus +3
Robot-assisted surgery has advantages compared to conventional laparoscopic procedures, e.g., precise movement of the surgical instruments, improved dexterity, and high-resolution…