Baichuan Jiang

Johns Hopkins University, University of British Columbia

Papers

4

Total Citations

38

H-Index

4

About

Baichuan Jiang is a pioneering researcher at the intersection of surgical robotics, medical imaging, and intraoperative guidance. His work centers on developing real-time systems that enhance precision in minimally invasive procedures, particularly in robotic surgery and spine interventions. Jiang’s most impactful contribution is the first integrated real-time intraoperative surgical guidance system for the da Vinci robot, combining transrectal ultrasound and photoacoustic imaging with photoacoustic markers—a breakthrough demonstrated ex vivo and cited 16 times. He also introduced AutoInFocus, a novel paradigm for ultrasound-guided spine intervention validated across multiple platforms (13 citations), addressing critical challenges in needle placement accuracy. Earlier, Jiang advanced retinal microsurgery through teleoperative control of intraocular snake robots, developing vision-based angular calibration to overcome dexterity limitations in the confined intraocular space (5 citations). His work has been published in leading venues like *IEEE Transactions on Biomedical Engineering* and *International Journal of Computer Assisted Radiology and Surgery*. With a growing citation record and innovations that bridge imaging, robotics, and clinical translation, Jiang is shaping the future of image-guided surgical systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
38
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Intraoperative Surgical Guidance System in the da Vinci Surgical Robot Based on Transrectal Ultrasound/Photoacoustic Imaging With Photoacoustic Markers: An <i>Ex Vivo</i> Demonstration
16 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Johns Hopkins University, University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago