Rohan C. Vijayan

Johns Hopkins University

Papers

5

Total Citations

58

H-Index

4

About

Rohan C. Vijayan is a biomedical engineer and researcher whose work sits at the intersection of surgical robotics, medical image guidance, and computer-assisted orthopaedic surgery. His research focuses primarily on developing automated planning and navigation systems for complex surgical procedures, with particular emphasis on spinal and pelvic trauma surgery. Vijayan's most significant contribution is his pioneering work on automatic pedicle screw planning, which employs atlas-based registration and active shape models to generate accurate screw trajectories from unsegmented patient CT data — eliminating time-consuming manual planning steps. This work has garnered 41 citations and represents a meaningful advance in making robot-assisted spine surgery more reproducible and accessible. Complementing this, he has developed fluoroscopically guided robotic systems for pelvic fracture fixation, addressing the critical challenge of integrating standard clinical C-arm imaging with robotic assistance without requiring complex geometric pre-calibration. Across his body of work, Vijayan consistently tackles the practical barriers to clinical adoption of surgical robotics — workflow integration, imaging compatibility, and planning automation. His research reflects a translational philosophy, with studies evaluated in both simulation and early clinical settings. For students entering surgical robotics or computer-assisted surgery, his work offers a compelling model of bridging algorithmic innovation with real-world surgical application.

Research Focus

Key Achievements

4
H-Index
5
Papers
58
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Automatic pedicle screw planning using atlas-based registration of anatomy and reference trajectories
41 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago