6 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…
Autonomous Dissection in Robotic Cholecystectomy
Ki-Hwan Oh, Leonardo Borgioli, Miloš Žefran +2
Robotic surgery offers enhanced precision and adaptability, paving the way for automation in surgical interventions. Cholecystectomy, the gallbladder removal, is particularly well-…
Expanded Comprehensive Robotic Cholecystectomy Dataset (CRCD)
Ki-Hwan Oh, Leonardo Borgioli, Alberto Mangano +9
In recent years, the application of machine learning to minimally invasive surgery (MIS) has attracted considerable interest. Datasets are critical to the use of such techniques. T…
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…