3 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Acquiring Submillimeter-Accurate Multi-Task Vision Datasets for Computer-Assisted Orthopedic Surgery
Emma Most, Jonas Hein, Frédéric Giraud +7
Advances in computer vision, particularly in optical image-based 3D reconstruction and feature matching, enable applications like marker-less surgical navigation and digitization o…
Creating a Digital Twin of Spinal Surgery: A Proof of Concept
Jonas Hein, Frédéric Giraud, Lilian Calvet +8
Surgery digitalization is the process of creating a virtual replica of real-world surgery, also referred to as a surgical digital twin (SDT). It has significant applications in var…