2d-3d-registration

There are 13 repositories under 2d-3d-registration topic.

  • DiffDRR

    eigenvivek/DiffDRR

    Auto-differentiable digitally reconstructed radiographs in PyTorch

    Language:Python155619522
  • DiffPose

    eigenvivek/DiffPose

    [CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering

    Language:Python12154414

  • rg2/xreg

    Library and executables for modeling and registration applications in medical image analysis. Particular emphasis on intraoperative fluoroscopic (X-ray) navigation via 2D/3D registration.

    Language:C++9851421
  • DeepFluoroLabeling-IPCAI2020

    rg2/DeepFluoroLabeling-IPCAI2020

    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

    Language:Python804613
  • Regi2D3D-IPCAI2020

    rg2/Regi2D3D-IPCAI2020

    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

    Language:C++47212

  • m1nhengChen/SOPI

    Code for ICASSP 2024 paper"Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration"

    Language:Python17110

  • levenberg/2D-3D-pose-tracking

    Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences

    Language:C++16152

  • eigenvivek/DiffDRR-Datasets

    Open-source 2D/3D registration datasets and dataloaders for DiffDRR

    Language:Python8272

  • m1nhengChen/CMAES-reg

    Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for 2D/3D registration

    Language:Python4100

  • lilika-makabe/shape-coded-aruco

    [WACV2022] "Shape-Coded ArUco: Fiducial Marker for Bridging 2D and 3D Modalities".

    3210

  • m1nhengChen/cdreg

    Code for ISBI 2024 paper "Fully Differentiable Correlation-driven 2D/3D Registration for X-Ray to CT Image Fusion"

    Language:Python30

  • Pragyanstha/rayemb

    [ACCV 2024 (Oral)] Official Implementation of "RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace", Pragyan Shrestha, Chun Xie, Yuichi Yoshii, Itaru Kitahara

    Language:Jupyter Notebook311

  • rg2/jhmr-v2

    MOVED HERE: https://github.com/rg2/xreg

    0201