Pengwei Wu

Johns Hopkins University

Papers

6

Total Citations

35

H-Index

4

About

Pengwei Wu is a biomedical engineer and robotics researcher whose work sits at the intersection of surgical robotics, medical image guidance, and minimally invasive neurosurgery. His research focuses on two primary domains: robot-assisted neuroendoscopy for deep brain procedures and image-guided robotic systems for orthopaedic trauma surgery. In neurosurgery, Wu has made notable contributions by developing real-time 3D reconstruction techniques using simultaneous localization and mapping (SLAM) to overcome the limitations of conventional neuronavigation during transventricular procedures, where soft-tissue deformation compromises targeting accuracy. His work on robot-assisted ventriculoscopy — including applications in deep-brain stimulation electrode placement — represents a meaningful advance in intraoperative guidance for accessing challenging subcortical targets. In orthopaedic surgery, Wu developed fluoroscopically guided robotic systems for pelvic fracture fixation that integrate intraoperative C-arm imaging with preoperative CT, reducing the need for repeated radiation exposure during implant placement. His publications, accumulating over 35 citations since 2020, have appeared across neurosurgical and orthopaedic robotics contexts. Wu's research exemplifies how combining real-time imaging with robotic precision can meaningfully improve surgical accuracy in both neurological and trauma care settings.

Research Focus

Key Achievements

4
H-Index
6
Papers
35
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Pre-Clinical Development of Robot-Assisted Ventriculoscopy for 3-D Image Reconstruction and Guidance of Deep Brain Neurosurgery
11 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago