Ghassan Hamarneh
Papers
9
Total Citations
195
H-Index
8
About
Ghassam Hamarneh is a leading researcher at the intersection of medical image analysis, computer vision, and robotic surgery. His work focuses on developing intelligent algorithms to enhance the perception and decision-making capabilities of surgeons during robot-assisted procedures, particularly in partial nephrectomy. His major contributions include pioneering methods for simultaneous multi-structure segmentation and 3D nonrigid pose estimation in image-guided robotic surgery (49 citations), and automatic segmentation of occluded vasculature using pulsatile motion analysis (27 citations). He has also advanced the field of chronic wound treatment by creating a proof-of-concept tool for wound segmentation and bioprinting (37 citations). His research on uncertainty-encoded augmented reality for surgical guidance (21 citations) and multi-modal image-guided tumor identification (15 citations) has been instrumental in improving surgical precision. Hamarneh's work demonstrates a consistent focus on translating complex imaging data into actionable, real-time guidance for surgeons, with his papers collectively accumulating hundreds of citations and shaping the future of minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
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- 2Segmentation and Measurement of Chronic Wounds for Bioprinting37 citations · 2017
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