Marco Di Marzo
Papers
2
Total Citations
59
H-Index
2
About
Marco Di Marzo is pioneering the intersection of robotics and neurosurgery, with a focused expertise in intra-operative path planning and deformable tissue simulation for keyhole neurosurgery. His major contributions center on developing intelligent frameworks that enable flexible neurosurgical robots to navigate the brain with unprecedented safety and precision. His most cited work, "Inverse Reinforcement Learning Intra-Operative Path Planning for Steerable Needle" (2021, 40 citations), introduces a novel planning framework that learns from expert demonstrations to guide flexible needles through delicate brain tissue, directly supporting neurosurgeons during critical procedures. Complementing this, his study on "Position-Based Dynamics Simulator of Brain Deformations" (2021, 19 citations) creates a realistic, time-bounded simulator that accurately models brain deformations during catheter insertion, enabling robust path planning and real-time control. Together, these works address the fundamental challenge of interacting with highly deformable organs in robot-assisted surgery. Di Marzo’s research is not only advancing the capabilities of surgical robotics but also laying the groundwork for safer, more effective minimally invasive neurosurgical interventions, making him a rising figure in medical robotics and computer-assisted intervention.
Research Focus
Key Achievements
Top Papers
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