1 citations · 1 across the 4 of their papers we have counts for
8 papers
NeuralBoneReg: An Instance-Specific Label-Free Point Cloud-Based Method for Multi-Modal Bone Surface Registration
Luohong Wu, Matthias Seibold, Nicola A. Cavalcanti +5
In computer- and robot-assisted orthopedic surgery (CAOS), patient-specific surgical plans derived from preoperative imaging define target locations and implant trajectories. Durin…
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…
Current validation practice undermines surgical AI development
Annika Reinke, Ziying O. Li, Minu D. Tizabi +97
Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…
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…
Enhancing Orthopedic Surgical Training With Interactive Photorealistic 3D Visualization
Roni Lekar, Tatiana Gerth, Sergey Prokudin +7
Surgical training integrates several years of didactic learning, simulation, mentorship, and hands-on experience. Challenges include stress, technical demands, and new technologies…