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Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans

Code for training CNN for 3D medical images super resolution.

1. License agreement

Copyright (C) 2020 Mariana Iuliana Georgescu, Radu Tudor Ionescu

Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

(https://creativecommons.org/licenses/by-nc-sa/4.0/)

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

NonCommercial — You may not use the material for commercial purposes.

ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

2. Citation

Please cite the following work [1] if you use this software (or a modified version of it) in any scientific work:

[1] Mariana-Iuliana Georgescu and Radu Tudor Ionescu and Nicolae Verga. Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans, 2020

Bibtex:

@misc{Georgescu-2020,
    title={Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans},
    author={Mariana-Iuliana Georgescu and Radu Tudor Ionescu and Nicolae Verga},
    year={2020},
    eprint={2001.01330},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

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