Computational Tomography in PyTorch
-
Updated
Sep 22, 2023 - Python
#
radon-transform
Here are 45 public repositories matching this topic...
A CNN-based optical image ship wake detector.
-
Updated
Nov 25, 2021 - Python
Radon Transform and Inverse Radon Transform
-
Updated
May 12, 2019 - MATLAB
A Pytorch implementation of the radon operator and filtered backprojection with, except for a constant, adjoint radon operator and backprojection.
-
Updated
May 31, 2023 - Jupyter Notebook
A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...
gpu optimization julia automatic-differentiation cuda julia-language tomography radon ct x-ray computed-tomography radon-transform
-
Updated
Dec 1, 2025 - Julia
Differentiable 2D CT in PyTorch with parallel/fan-beam projectors, exact adjoints, filtered backprojection, learnable scan geometry, and optional CUDA acceleration.
python image-reconstruction cuda pytorch autograd medical-imaging tomography inverse-problems computed-tomography radon-transform differentiable-programming ct-reconstruction geometry-calibration filtered-backprojection learned-primal-dual
-
Updated
Oct 20, 2026 - Python
DeDA: Differentiable Image Integration Library
image-processing medical-imaging neural-networks image-classification image-segmentation medical-image-computing hough-transform bilateral-filter medical-image-processing grid-sampling image-transformations medical-image-analysis medical-image-registration radon-transform medical-image-reconstruction bilateral-grid
-
Updated
Jan 19, 2024
python library for tomographic image reconstruction
-
Updated
Nov 3, 2025 - Python
Radon transform algorithm to find wave trajectories and speeds from spatiotemporal data
-
Updated
May 1, 2023 - MATLAB
Gratopy - Graz accelerated tomographic projections for Python
python image-reconstruction opencl computed-tomography radon-transform fanbeam-transform pixel-driven-projection-methods
-
Updated
Oct 21, 2026 - Python
Awesome list of tomographic reconstruction (computed tomography, CT / CBCT / micro-CT): papers, toolkits, datasets, benchmarks. Sparse-view, limited-angle, low-dose, metal-artifact, spectral, photon-counting, cone-beam, 4D CT. FBP, iterative solvers, deep unrolling, Radon transform, sinogram. English / Chinese.
medical-imaging awesome-list tomography ct cbct computed-tomography radon-transform cone-beam-ct ct-reconstruction diffusion-models ct-imaging metal-artifact-reduction spectral-ct deep-unrolling tomographic-reconstruction scatter-correction low-dose-ct limited-angle sparse-view-ct dual-energy-ct
-
Updated
Nov 4, 2026 - Python
🦴 Playground demonstrating the radon transform
-
Updated
Oct 2, 2021 - Swift
This project is actually a map to identify complex fractures. Then it can be designed as a self-organizing application in finding related fractures.
-
Updated
Jun 9, 2025 - MATLAB
Computer Tomography simulation using radon transform.
python simulation numpy dicom python-3-6 python-3 pyside2 ct pydicom medical-informatics computed-tomography skimage radon-transform computer-tomograpy sinogram-viewer sinogram tomography-simulation
-
Updated
Mar 30, 2020 - Python
Deep-Learning-Based Segmentation of Small Extracellular Vesicles in Transmission Electron Microscopy Images
deep-learning tensorflow keras circle-detection segmentation electron-microscopy tem instance-segmentation radon-transform unet-keras extracellular-vesicles exosome unet-segmentation residual-unet
-
Updated
Nov 10, 2023 - Jupyter Notebook
Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.
python opencv numpy scikit-image edge-detection morphological-analysis connected-components grayscale-images radon-transform candy-edge sobel-edge-detector
-
Updated
Oct 8, 2023 - Python
-
Updated
Mar 10, 2020 - Python
Node.js project with image manipulation
-
Updated
Aug 15, 2021 - TypeScript
Add this topic to your repo
To associate your repository with the radon-transform topic, visit your repo's landing page and select "manage topics."