7 papers
Sound Source Localization for Spatial Mapping of Surgical Actions in Dynamic Scenes
Jonas Hein, Lazaros Vlachopoulos, Maurits Geert Laurent Olthof +3
Purpose: Surgical scene understanding is key to advancing computer-aided and intelligent surgical systems. Current approaches predominantly rely on visual data or end-to-end learni…
Training-free Detection and 6D Pose Estimation of Unseen Surgical Instruments
Jonas Hein, Lilian Calvet, Matthias Seibold +3
Purpose: Accurate detection and 6D pose estimation of surgical instruments are crucial for many computer-assisted interventions. However, supervised methods lack flexibility for ne…
UltraBoneUDF: Self-supervised Bone Surface Reconstruction from Ultrasound Based on Neural Unsigned Distance Functions
Luohong Wu, Matthias Seibold, Nicola A. Cavalcanti +7
Bone surface reconstruction is an essential component of computer-assisted orthopedic surgery(CAOS), forming the foundation for both preoperative planning and intraoperative guidan…
Automatic Calibration of a Multi-Camera System with Limited Overlapping Fields of View for 3D Surgical Scene Reconstruction
Tim Flückiger, Jonas Hein, Valery Fischer +2
The purpose of this study is to develop an automated and accurate external camera calibration method for multi-camera systems used in 3D surgical scene reconstruction (3D-SSR), eli…
UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction
Luohong Wu, Nicola A. Cavalcanti, Matthias Seibold +8
Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. However, ultrasound images have limitations, including a low signal-to-noise ratio, a…
ArthroPhase: A Novel Dataset and Method for Phase Recognition in Arthroscopic Video
Ali Bahari Malayeri, Matthias Seibold, Nicola Cavalcanti +6
This study aims to advance surgical phase recognition in arthroscopic procedures, specifically Anterior Cruciate Ligament (ACL) reconstruction, by introducing the first arthroscopy…