Papers

16

Total Citations

281

H-Index

8

About

Makoto Negoro is a pioneering researcher at the intersection of medical robotics, neurovascular engineering, and endovascular intervention simulation. His work has fundamentally advanced how clinicians and engineers evaluate catheter-based tools and robotic systems for cerebrovascular treatment, with a particular focus on developing patient-specific anatomical models that faithfully replicate the mechanical and geometric properties of human cerebral arteries using CT and MRI data. Negoro's most influential contributions center on the creation of in vitro vascular simulators — biologically realistic, three-dimensional models reconstructed from individual patient imaging — that serve as testbeds for medical robots, surgical training, and device evaluation. His 2005 papers on patient-specific cerebral artery models have garnered over 60 and 50 citations respectively, reflecting their foundational role in the field. He further extended this work through photoelastic stress analysis techniques, enabling quantitative, real-time feedback for catheter-guiding robotic systems — a significant methodological advance for safer endovascular procedures. Equally notable is his early work on tele-surgery and intelligent catheter systems, demonstrating visionary thinking about networked, remotely operated surgical platforms as far back as 2001–2002. Together, his body of work — spanning robotic control, simulation, augmented reality training, and vascular biomechanics — has made him a formative figure in the development of safer, smarter neurovascular interventions.

Research Focus

Key Achievements

8
H-Index
16
Papers
281
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
An In Vitro Patient-Specific Biological Model of the Cerebral Artery Reproduced with a Membranous Configuration for Simulating Endovascular Intervention
69 citations · 2005
📈 Most Prolific Year: 2005 (3 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Fujita Health University, Nagoya University, Institut Systèmes Intelligents et de Robotique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago