Python Implementation of Computed Tomography (CT) reconstruction for 2D images
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Updated
Dec 12, 2023 - Jupyter Notebook
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
Performing 3D Cone Beam CT Reconstruction on GPU
The study works on generating CT images from MRI images, where unsupervised learning was used using VAE-CycleGan. Since the number of samples included in the data set used in the study, and therefore in this case we are in a state of epistemic uncertainty, therefore probabilistic models were used in forming the latent space.
Tomography reconstruction Web App that keeps non-expert users in mind
Algebraic Reconstruction Technique (ART)
A PyTorch implementation of the data-driven convex regularization approach for inverse problems
Algebraic Reconstruction Technique (ART)
Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.
3D Cone beam CT reconstruction
[WACV 2024] INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (Arxir 2024)
Awesome CT Reconstruction
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024)
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