Papers
4
Total Citations
40
H-Index
4
About
Peicong Ge is a pioneering researcher at the intersection of neurosurgery and robotics, with key contributions in minimally invasive brain-computer interfaces (BCIs) and autonomous surgical systems. His most notable work, "The brain nebula" (2024, 18 citations), introduces an endovascular neural recording and stimulation platform that achieves BCI functionality without open brain surgery—a paradigm shift in neuroprosthetics. Ge has also advanced robotic craniotomy through two seminal papers: "Robotic Automatic Drilling for Craniotomy" (2023, 11 citations), which addresses the critical challenge of preserving dura mater integrity during skull drilling, and "Automatic Robotic Cranium-Milling" (2024, 4 citations), demonstrating fully autonomous milling with enhanced precision. His "Motion Decoupling Network" (2023, 7 citations) solves occlusion problems in intra-operative motion estimation, enabling safer robot-assisted surgery. Collectively, Ge's work bridges neural engineering and surgical robotics, with his endovascular BCI approach offering a less invasive alternative to traditional implants. His algorithms for autonomous bone removal and real-time tissue tracking have direct clinical implications, potentially reducing surgical complications and expanding access to neurosurgical care.
Research Focus
Key Achievements
Top Papers
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