Baoming Luo

Sun Yat-sen University

Papers

3

Total Citations

85

H-Index

3

About

Baoming Luo is pioneering the integration of robotics and medical ultrasound, with a primary focus on autonomous scanning systems for breast and lung imaging. His major contributions center on developing fully autonomous ultrasound robots that eliminate the need for highly skilled sonographers, addressing critical bottlenecks in medical imaging accessibility and consistency. Luo’s 2022 paper on a flexible, fully autonomous breast ultrasound scanning system (37 citations) introduces a robotic platform that intelligently controls probe contact force—a key variable affecting image quality—enabling reliable, operator-independent breast exams. In response to the COVID-19 pandemic, he designed a fully automatic dual-probe lung ultrasound scanning robot (25 citations) for rapid screening triage, demonstrating the clinical urgency and versatility of his approach. His work on automatic trajectory generation from 3-D point clouds (23 citations) further advances the field by enabling robots to adapt to individual patient anatomy, overcoming the challenge of varying body surface morphology. With over 85 citations across his most-cited works, Luo is establishing the foundational principles for a new generation of autonomous ultrasound systems, promising to democratize high-quality diagnostic imaging and reduce variability in clinical practice.

Research Focus

Key Achievements

3
H-Index
3
Papers
85
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
A Flexible and Fully Autonomous Breast Ultrasound Scanning System
37 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Sun Yat-sen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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