Dan-Ni He

Sun Yat-sen University

Papers

1

Total Citations

12

H-Index

1

About

Dr. Dan-Ni He is a leading researcher at the intersection of medical robotics and diagnostic imaging, with a primary focus on enhancing the reproducibility and objectivity of ultrasound technology. Her most significant contribution is the development of an autonomous robotic ultrasound scanning system (auto-RUSS), a groundbreaking pipeline designed to eliminate operator dependency in medical imaging. In her landmark 2025 study, which has already garnered 12 citations, Dr. He demonstrated that auto-RUSS achieves superior image analysis reproducibility and observer consistency compared to physicians with varying levels of expertise. This work directly addresses a critical bottleneck in ultrasound imaging—the variability introduced by human operators—and paves the way for more reliable, standardized diagnostics. By engineering a system with a 7-degree-of-freedom robotic arm, she has created a platform that not only enhances clinical accuracy but also holds immense potential for telemedicine and automated screening. Dr. He’s research is pivotal for students and engineers interested in the future of autonomous healthcare, where robotic precision meets clinical need.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous robotic ultrasound scanning system: a key to enhancing image analysis reproducibility and observer consistency in ultrasound imaging
12 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago