Dengrong Jiang

Johns Hopkins University

Papers

1

Total Citations

7

H-Index

1

About

Dengrong Jiang is a researcher whose work sits at the intersection of medical imaging and robotics, with a particular focus on ultrasound tomography. His key contributions center on developing co-robotic systems that enhance the precision and automation of ultrasound imaging. In his most-cited paper, "Co-robotic ultrasound tomography: dual arm setup and error analysis" (2015, 7 citations), Jiang introduced a dual-arm robotic setup that automatically aligns two ultrasound probes, enabling tomographic reconstruction of acoustic properties across a wider range of anatomies. This innovation addresses a critical challenge in quantitative ultrasound imaging—manual alignment errors—by leveraging robotic precision. While his citation count is modest, the work represents a foundational step in integrating robotics with diagnostic ultrasound, potentially improving accessibility and reproducibility in clinical settings. Jiang’s research sits at the intersection of engineering and medicine, offering a glimpse into how automation can expand the capabilities of non-invasive imaging. For students and researchers interested in medical robotics or ultrasound physics, his work provides a clear example of how hardware-software integration can solve real-world imaging problems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Co-robotic ultrasound tomography: dual arm setup and error analysis
7 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago