Jiajia Ge
Papers
1
Total Citations
14
H-Index
1
About
Dr. Jiajia Ge is a leading researcher at the intersection of robotic surgery, machine learning, and medical simulation, with a primary focus on advancing autonomous systems for endovascular interventions. Her most impactful work tackles the critical challenge of bridging the simulation-to-reality gap in robotic-assisted procedures. In her highly cited 2025 paper, "Sim2Real Learning With Domain Randomization for Autonomous Guidewire Navigation in Robotic-Assisted Endovascular Procedures" (14 citations), Dr. Ge introduces a domain randomization framework that enables surgical robots to learn robust navigation policies in simulated environments and transfer them effectively to real-world clinical tasks. This contribution directly addresses a major bottleneck in the clinical adoption of endovascular robots—the lack of intelligent, autonomous assistive capabilities that physicians have long requested. By demonstrating that simulated training can produce reliable real-world performance, her research paves the way for safer, more efficient robotic systems in complex vascular procedures. Dr. Ge’s work is not only technically innovative but also clinically grounded, offering a practical pathway toward reducing physician cognitive load and improving patient outcomes in minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
- 1