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
Tomography reconstruction Web App that keeps non-expert users in mind
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.
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" (ECCV 2024)
Awesome CT Reconstruction
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024)
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