Giorgia Marullo
Papers
3
Total Citations
64
H-Index
2
About
Giorgia Marullo is a leading researcher at the intersection of artificial intelligence and robotic surgery, specializing in real-time computer vision and augmented reality for minimally invasive procedures. Her most impactful work introduces a deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery (37 citations), enabling surgeons to overlay patient-specific organ models onto endoscopic video feeds with unprecedented accuracy. She further advanced intraoperative safety through the Bleeding Artificial Intelligence Detector (BLAIR) system (25 citations), a pioneering CNN-based tool that predicts hemorrhagic events during robotic radical prostatectomy. Most recently, her MOTT framework (2025) establishes a standardized, modular approach for optical tool tracking, addressing critical benchmarking gaps in 6DoF pose estimation for medical robotics. Marullo’s contributions directly enhance surgical precision, reduce complication risks, and provide open-source tools for the broader research community. Her work has been recognized for its translational potential, bridging deep learning with real-time clinical decision support. With a growing citation footprint and a focus on deployable AI, Marullo is shaping the next generation of intelligent, context-aware surgical systems.
Research Focus
Key Achievements
Top Papers
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