10 citations · 12 across the 5 of their papers we have counts for
5 papers
OmniRAS: Standardizing Foundation Model Training and Evaluation in Robot-Assisted Surgery
Leonardo Borgioli, Neil Getty, Wenli Xiu +8
Few foundation models exist for robot-assisted surgery, partly because large robotic-surgery video corpora are difficult to assemble and existing models are evaluated mostly on lap…
Sensory Glove-Based Surgical Robot User Interface
Leonardo Borgioli, Ki-Hwan Oh, Valentina Valle +9
Robotic surgery has reached a high level of maturity and has become an integral part of standard surgical care. However, existing surgeon consoles are bulky, take up valuable space…
Comprehensive Robotic Cholecystectomy Dataset (CRCD): Integrating Kinematics, Pedal Signals, and Endoscopic Videos
Ki-Hwan Oh, Leonardo Borgioli, Alberto Mangano +9
In recent years, the potential applications of machine learning to Minimally Invasive Surgery (MIS) have spurred interest in data sets that can be used to develop data-driven tools…
A Framework For Automated Dissection Along Tissue Boundary
Ki-Hwan Oh, Leonardo Borgioli, Miloš Žefran +2
Robotic surgery promises enhanced precision and adaptability over traditional surgical methods. It also offers the possibility of automating surgical interventions, resulting in re…
Minimally Invasive Live Tissue High-fidelity Thermophysical Modeling using Real-time Thermography
Hamza El-Kebir, Junren Ran, Yongseok Lee +7
We present a novel thermodynamic parameter estimation framework for energy-based surgery on live tissue, with direct applications to tissue characterization during electrosurgery.…