"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis
"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)
Awesome CT Reconstruction
"Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction" (NeurIPS 2024)
"Neural Attenuation Fields for Sparse-View CBCT Reconstruction" (MICCAI 2022 Oral)
[WACV 2024] INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
3D Cone beam CT reconstruction
Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.
Algebraic Reconstruction Technique (ART)
Algebraic Reconstruction Technique (ART)
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.
A PyTorch implementation of the data-driven convex regularization approach for inverse problems
Code for TMLR paper "Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction"
Performing 3D Cone Beam CT Reconstruction on GPU
Tomography reconstruction Web App that keeps non-expert users in mind
Repository for M3DSR method
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
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