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About

Georges Younes is a leading researcher at the intersection of computer vision, robotics, and augmented reality (AR) for medical intervention. His work primarily focuses on advancing surgical navigation and planning through monocular visual SLAM and holographic interfaces. Younes’s most influential contribution is his comprehensive 2017 survey on keyframe-based monocular SLAM, which has garnered over 152 citations and serves as a foundational reference for researchers in robotics and AR. He has made significant strides in clinical applications, including moving object tracking for cardiac surgery and cerebral aneurysm clipping, demonstrating real-time instrument tracking in complex surgical fields. Notably, his 2021 study on user interfaces for holographic AR scenes in MR-guided prostate biopsies (34 citations) explores how interactive planning can enhance procedural accuracy. Younes also contributed to the development of robotic transrectal biopsy systems, integrating interventional planning software to improve prostate cancer diagnosis. With a portfolio spanning non-filter-based SLAM systems and clinical robotics, his work bridges theoretical computer vision with practical, life-saving surgical technologies, making him a key figure in the evolution of minimally invasive, image-guided procedures.