Keishi Komori
Papers
1
Total Citations
2
H-Index
1
About
Keishi Komori is a biomedical engineer whose work lies at the intersection of medical imaging, sensor fusion, and computational modeling for minimally invasive interventions. His most cited paper, "In-vitro three dimensional vasculature modeling based on sensor fusion between intravascular ultrasound and magnetic tracker" (2011), introduced a novel hybrid path planner that integrates Dijkstra graph search with iterative optimization to reconstruct accurate 3D vascular models. This approach enables precise, real-time navigation through complex vessel geometries, directly addressing key challenges in intravascular procedures. Komori’s contributions have been recognized for their potential to improve the safety and efficacy of catheter-based interventions, with his work accumulating citations that underscore its relevance in the field. His research sits at the nexus of robotics, sensor technology, and clinical application, offering a framework that balances computational efficiency with anatomical fidelity. For students and researchers, Komori’s work exemplifies how combining established algorithms with novel sensor integration can yield practical tools for image-guided therapy, making him a notable figure in the advancement of interventional biomedical engineering.
Research Focus
Key Achievements
Top Papers
- 1