12 citations · 13 across the 4 of their papers we have counts for
4 papers
IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays
Sascha Jecklin, Aidana Massalimova, Ruyi Zha +4
Spine surgery is a high-risk intervention demanding precise execution, often supported by image-based navigation systems. Recently, supervised learning approaches have gained atten…
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…
SurgPointTransformer: Vertebrae Shape Completion with RGB-D Data
Aidana Massalimova, Florentin Liebmann, Sascha Jecklin +3
State-of-the-art computer- and robot-assisted surgery systems heavily depend on intraoperative imaging technologies such as CT and fluoroscopy to generate detailed 3D visualization…
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
Sascha Jecklin, Youyang Shen, Amandine Gout +8
This study tackles key obstacles in adopting surgical navigation in orthopedic surgeries, including time, cost, radiation, and workflow integration challenges. Recently, our work X…