Burcu Basar
Papers
1
Total Citations
2
H-Index
1
About
Burcu Basar is a rising researcher at the intersection of robotics, medical imaging, and artificial intelligence. Her work focuses on developing intelligent systems for robot-assisted intraoperative ultrasound imaging, a critical area where precision and automation can significantly impact surgical outcomes. Basar’s major contribution lies in applying deep reinforcement learning to solve the fundamental challenge of probe positioning—enabling robots to autonomously locate desired scan planes without relying on operator expertise. This innovation addresses a longstanding bottleneck in interventional ultrasound, where manual probe manipulation is time-consuming and prone to variability. Her most-cited paper, “Probe positioning for robot-assisted intraoperative ultrasound imaging using deep reinforcement learning” (2024), has already garnered attention with 2 citations, signaling growing interest in her approach. By integrating reinforcement learning with robotic control, Basar is paving the way for more consistent, efficient, and accessible ultrasound-guided procedures. Her work promises to reduce operator dependence and enhance procedural reliability, making her a key contributor to the future of autonomous medical imaging.
Research Focus
Key Achievements
Top Papers
- 1