mughanibu / DeepMARLinks
This repository hosts the training code and links to trained models and training datasets used in our article "Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning", accepted for publication in the IEEE Transactions on Computational Imaging.
☆19Updated 6 years ago
Alternatives and similar repositories for DeepMAR
Users that are interested in DeepMAR are comparing it to the libraries listed below
Sorting:
- Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography☆67Updated 6 years ago
- ☆47Updated 3 years ago
- simulation and reconstruction package☆66Updated 2 weeks ago
- Master Thesis Project☆15Updated 5 months ago
- CT Recon in Python: An all-in-one tool for Data IO, Pre/Post-process, Physics, Dual Energy, Low Dose and everything.☆50Updated last year
- 【MedIA2023】Extend the InDuDoNet with Knowledge-Driven Prior-Net☆33Updated last year
- Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]☆69Updated 2 years ago
- ☆45Updated 6 years ago
- Code for the paper "Analysis and comparison of cycle-consistent adversarial networks for CBCT to CT translation for adaptive radiotherapy…☆18Updated 2 years ago
- low dose CT simulator to yield low dose CT images from high-dose one☆55Updated 8 years ago
- Framework for designing, training and benchmarking sparse-view CT reconstruction algorithms; includes datasets, metrics, baselines and CL…☆49Updated last year
- Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.☆28Updated 6 years ago
- A Benchmark Dataset: Synthesized DeepLesion for CT Metal Artifact Reduction☆63Updated last year
- Fixed some common artifacts in CT images.☆48Updated 2 years ago
- code for the paper entitled "A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution"☆42Updated 7 years ago
- Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018☆52Updated 6 years ago
- Patient-specific reconstruction of volumetric computed tomography images from few-view projections via deep learning☆115Updated 4 years ago
- Version of MC-GPU used in the VICTRE project☆46Updated 5 months ago
- Iterative SART algorithm with Self Attention GAN based signal prior for reconstruction of low-dose, sparse-view and limited-angle CT☆21Updated 4 years ago
- Master Thesis project to reduce artefacts in Cone-Bean CT using deep learning☆19Updated 4 years ago
- Fast, lightweight, GPU-based, CT Image Reconstruction☆27Updated 5 years ago
- ☆33Updated 4 months ago
- A computational tool for x‐ray spectrum modeling and analysis.☆36Updated 3 years ago
- ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction☆187Updated 5 years ago
- Official implementation of the paper "Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains"☆69Updated last year
- 【MICCAI 2021】An Interpretable Dual Domain Network for CT Metal Artifact Reduction☆69Updated last year
- Convert CBCT images to CT like images☆39Updated 6 years ago
- ☆22Updated 2 years ago
- Python and MATLAB scripts for computing reconstruction from an openly available X-ray data set☆56Updated 2 years ago
- Implementation code for "Iterative PET Image Reconstruction Using Convolutional Neural Network Representation"☆44Updated 6 years ago