Ayman Zakaria

Papers

Total Citations

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About

Ayman Zakaria is a leading researcher in computer vision and surgical robotics, with a primary focus on advancing minimally invasive surgery through intelligent tracking systems. His most cited work, "Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping" (2019, 49 citations), addresses a critical challenge in laparoscopic and robotic procedures: the real-time tracking of miniaturized surgical instruments—such as graspers and needle drivers—within the stereoscopic camera’s field of view. By developing robust algorithms for moving object detection and tracking in complex, dynamic surgical environments, Zakaria has significantly improved the precision and safety of cardiac and neurosurgical operations. His contributions bridge the gap between computer vision theory and clinical practice, enabling surgeons to maintain continuous awareness of instrument positions during delicate tasks. With 49 citations, this work underscores his impact on both academic research and practical surgical applications. Zakaria’s achievements highlight his role in shaping the future of computer-assisted surgery, making him a key figure for students and researchers interested in the intersection of AI, robotics, and healthcare innovation.