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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.

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DeepMAR

This repository hosts the links to training code, training datasets, trained models, testing codes, and reproducible result associated with our article "Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning", accepted for publication in the IEEE Transactions on Computational Imaging.

DeepMAR Simulated dataset and Simulation Setup used to generate the datasets: https://drive.google.com/drive/folders/1YAgAX5bDPT9qJF077Wu38OgsIOBZ4lFJ

Testing code, trained models, and reproducible results available via CodeOcean: https://codeocean.com/capsule/0510438

Training codes used in our work: https://drive.google.com/drive/folders/1muMlijUY9f38AfeyJxiPDO3fyC84jbe0?usp=sharing

[1] M. U. Ghani, and W. C. Karl, "Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning," IEEE Transactions on Computational Imaging.

Any papers using this code, dataset, or trained models should cite [1] accordingly.

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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.

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