Zhongyuan Ping

Tianjin University

Papers

4

Total Citations

30

H-Index

3

About

Zhongyuan Ping is a biomedical engineer whose research sits at the intersection of advanced imaging, robotics, and minimally invasive surgery. His primary contributions focus on developing novel tools and algorithms for real-time, in vivo tissue assessment during surgical procedures. Ping is best known for his pioneering work in probe-based confocal laser endomicroscopy (pCLE), where he created a robust mosaicing algorithm using a context-weighted correlation ratio to stitch together microscopic images, overcoming the modality’s limited field of view. This work, which has garnered 11 citations, enables clinicians to obtain a comprehensive view of scanned tissues for more accurate pathological assessments. He has also designed a modular robotic scanning device for real-time gastric endomicroscopy and a novel surface-scanning system for intraoperative tumor identification and laser ablation therapy. More recently, Ping has advanced flexible surgical instruments, incorporating contact-aided structures and force feedback to enhance dexterity and tactile perception in robot-assisted endoscopic surgery. With a portfolio of highly cited papers and a clear focus on translating optical imaging into practical surgical tools, Ping is making tangible strides toward improving the precision and outcomes of cancer diagnosis and treatment.

Research Focus

Key Achievements

3
H-Index
4
Papers
30
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Robust Mosaicing of Endomicroscopic Videos via Context-Weighted Correlation Ratio
11 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tianjin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago