Papers
2
Total Citations
63
H-Index
2
About
Soheil Hor is a researcher at the intersection of surgical robotics, augmented reality, and medical training. His work focuses on enhancing precision in robot-assisted surgery through innovative visualization and training systems. Hor’s most cited paper, “A Partial Augmented Reality System with Live Ultrasound and Registered Preoperative MRI for Guiding Robot-Assisted Radical Prostatectomy” (2019, 44 citations), introduces a novel framework that fuses real-time ultrasound with preoperative MRI to improve surgical guidance. This contribution addresses a critical challenge in prostate surgery—visualizing soft tissue deformation during procedures. In another influential work, “Play Me Back: A Unified Training Platform for Robotic and Laparoscopic Surgery” (2018, 19 citations), Hor proposes a hybrid training approach that combines hand-over-hand instruction with trial-and-error learning, leveraging expert data from the da Vinci surgical system. This platform aims to accelerate skill acquisition for both robotic and laparoscopic techniques. Hor’s research has practical implications for surgical education and intraoperative decision-making, bridging the gap between simulation and real-world application. His work continues to influence how surgeons train and operate with advanced robotic tools.
Research Focus
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Top Papers
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