Software Engineer at Medivis

Building medical imaging and mixed reality software for surgical navigation.

I work at the intersection of software engineering, computer vision, mixed reality, and healthcare. My background includes PhD research at Johns Hopkins on image-based mixed reality workflows for surgical guidance.

Contact Projects Publications

About me

Hello! I'm Wenhao Gu, a Software Engineer at Medivis, building medical imaging and mixed reality software for surgical navigation. I completed my PhD work at Johns Hopkins University as part of the ARCADE lab in the Laboratory for Computational Sensing and Robotics (LCSR), advised by Mathias Unberath. My work combines software engineering, computer vision, and human-centered design to support more precise and effective surgical workflows.

Skills

Software engineeringHealthcare applications and research-driven systems

Medical imagingImage-based guidance and surgical workflows

Computer visionRegistration, tracking, and drift correction

Mixed realityHoloLens workflows and surgical visualization

RoboticsComputational sensing and navigation context

Human-centered designEvaluation of visualization and guidance paradigms

Selected Projects

Near-Infrared Fluorescent Marker-based Patient Tracking System
Drift Correction for Mixed Reality Surgical Guidance
Open-Source Unity Plugin for HoloLens 2 Research Mode Sensors (2020)

Education

PhD in Computer Science
Johns Hopkins University
Sep. 2019 - Present
MSE in Robotics
Johns Hopkins University
Sep. 2017 - May 2019
BEng in Mechanical Engineering
The Hong Kong Polytechnic University
Sep. 2013 - Jun. 2017

Selected Publications

Gu, W., Knopf, J., Cast, J., Higgins, L. D., Knopf, D., & Unberath, M. (2023). Nail it! vision-based drift correction for accurate mixed reality surgical guidance. International Journal of Computer Assisted Radiology and Surgery, 18(7), 1235-1243.
Gu, W., Martin-Gomez, A., Cho, S. M., Osgood, G., Bracke, B., Josewski, C., ... & Unberath, M. (2022). The impact of visualization paradigms on the detectability of spatial misalignment in mixed reality surgical guidance. International Journal of Computer Assisted Radiology and Surgery, 17(5), 921-927.
Gu, W., Shah, K., Knopf, J., Josewski, C., & Unberath, M. (2022). A calibration-free workflow for image-based mixed reality navigation of total shoulder arthroplasty. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 10(3), 243-251.
Gu, W., Shah, K., Knopf, J., Navab, N., & Unberath, M. (2021). Feasibility of image-based augmented reality guidance of total shoulder arthroplasty using Microsoft HoloLens 1. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 9(3), 261-270.
Gu, W., Gao, C., Grupp, R., Fotouhi, J., & Unberath, M. (2020). Extended capture range of rigid 2D/3D registration by estimating Riemannian pose gradients. In Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings 11 (pp. 281-291). Springer International Publishing.

Contact

The best way to reach me is by email at petergu684@gmail.com. You can also find my work on GitHub and Google Scholar.