1 citations · 2 across the 5 of their papers we have counts for
6 papers
Bridging the Markerless Tracking Validation Gap: Intraoperative X-ray Workflow Integration
Connor Daly, Salvatore Russo, Jinendra Ekanayake +2
Markerless intraoperative tracking of spinal anatomy via RGB-D sensors is a promising alternative to invasive bone-anchored fiducials, yet no existing clinical dataset provides ind…
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
Model selection and real-time skill assessment for suturing in robotic surgery
Zhaoyang Jacopo Hu, Alex Ranne, Alaa Eldin Abdelaal +4
Automated feedback systems have the potential to provide objective skill assessment for training and evaluation in robot-assisted surgery. In this study, we examine methods to achi…
Towards Markerless Intraoperative Tracking of Deformable Spine Tissue
Connor Daly, Elettra Marconi, Marco Riva +3
Consumer-grade RGB-D imaging for intraoperative orthopedic tissue tracking is a promising method with high translational potential. Unlike bone-mounted tracking devices, markerless…
Confidence-based Intent Prediction for Teleoperation in Bimanual Robotic Suturing
Zhaoyang Jacopo Hu, Haozheng Xu, Sion Kim +3
Robotic-assisted procedures offer enhanced precision, but while fully autonomous systems are limited in task knowledge, difficulties in modeling unstructured environments, and gene…
CathAction: A Benchmark for Endovascular Intervention Understanding
Baoru Huang, Tuan Vo, Chayun Kongtongvattana +35
Real-time visual feedback from catheterization analysis is crucial for enhancing surgical safety and efficiency during endovascular interventions. However, existing datasets are of…