Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
Library and executables for modeling and registration applications in medical image analysis. Particular emphasis on intraoperative fluoroscopic (X-ray) navigation via 2D/3D registration.
Code and data for the "annotation" component of the IPCAI 2020 paper: "Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration." https://arxiv.org/abs/1911.07042 or https://doi.org/10.1007/s11548-020-02162-7
Code for the registration component of the IPCAI 2020 paper: "Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration." https://arxiv.org/abs/1911.07042 or https://doi.org/10.1007/s11548-020-02162-7
Mixed reality simulation of a C-Arm X-Ray machine for the Varjo XR-3 headset using Unity Engine. Gesture-based controls (Ultraleap) and realistic machine kinematics.
Official implementation of the paper "Automated C-Arm Positioning via Conformal Landmark Localization" (ICCVW APAH 2025)
AI-powered C-arm fluoroscopy guidance simulator with digital twin, 3D visualization, and automatic positioning research.
2D endovascular simulation: implicit elastic rod solver, analytic wall contact, synthetic fluoroscopy/DSA from a Beer-Lambert transmission integral. Literature-traceable physics, verified against closed-form solutions. Research prototype, educational only.
This is an open source program that takes a .opj input and processes that data into various .csv files based on user preferences This program was written in R and used the following packages: (Rcpp) (Ropj) (ggplot2) (shiny)
Single-file PWA that simulates a fluoroscopy C-arm: shows the phone's rear camera only while a foot switch is held, for pedal-timed imaging rehearsal without real X-ray hardware
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