Auto-differentiable digitally reconstructed radiographs in PyTorch
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Updated
Nov 4, 2024 - Python
Auto-differentiable digitally reconstructed radiographs in PyTorch
Code for ICASSP 2024 paper"Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration"
Open-source 2D/3D registration datasets and dataloaders for DiffDRR
Code for ISBI 2024 paper "Fully Differentiable Correlation-driven 2D/3D Registration for X-Ray to CT Image Fusion"
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for 2D/3D registration
[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering
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
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