Masoud S. Nosrati
Papers
5
Total Citations
102
H-Index
4
About
Masoud S. Nosrati is a leading researcher in medical image analysis and computer-assisted surgery, with a primary focus on advancing robotic surgical systems through intelligent vision and augmented reality. His work centers on multi-modal image-guided tumor identification and real-time surgical scene understanding, particularly for robot-assisted partial nephrectomy (RAPN). Nosrati’s most influential contribution is his pioneering framework for simultaneous multi-structure segmentation and 3D nonrigid pose estimation in image-guided robotic surgery (2015, 49 citations), which provides surgeons with critical contextual information for enhanced perception and decision-making during procedures. He has also made significant advances in uncertainty-encoded augmented reality for surgical guidance (2013, 21 citations) and efficient multi-organ segmentation from endoscopic video using pre-operative priors (2014, 15 citations). His research uniquely bridges pre-operative and intra-operative imaging modalities to improve tumor localization and resection margin determination. With over 100 total citations, Nosrati’s work directly impacts the safety and precision of minimally invasive surgeries, offering real-time guidance that helps surgeons navigate complex anatomical environments. His contributions continue to shape the future of intelligent surgical robotics and augmented reality in the operating room.
Research Focus
Key Achievements
Top Papers
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- 5Practical Issues of Action-Conditioned Next Image Prediction2 citations · 2018