Yixuan Wu

Johns Hopkins University

Papers

2

Total Citations

19

H-Index

2

About

Yixuan Wu is a pioneering researcher in the field of surgical robotics and biomedical imaging, with a focus on developing advanced guidance systems for minimally invasive procedures. Their major contributions center on integrating real-time imaging modalities—such as ultrasound, photoacoustics, and fluorescence—with robotic platforms like the da Vinci surgical system. In their most cited work (2022, 16 citations), Wu demonstrated the first real-time intraoperative guidance system that co-registers an endoscope camera with a transrectal ultrasound transducer using photoacoustic markers, enabling precise tumor localization during prostate surgery. This innovation bridges the gap between preoperative imaging and intraoperative reality, significantly enhancing surgical accuracy. Wu also developed a dual-robotic ultrasound system for in vivo prostate tomography (2020, 3 citations), showcasing their ability to combine multiple robotic arms for comprehensive tissue imaging. Their work is notable for its translational potential, directly addressing clinical challenges in cancer surgery. By merging robotics with cutting-edge imaging, Wu is helping to shape the future of autonomous, image-guided surgical interventions.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
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 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago