Merge pull request #9 from andreped/arXiv-update
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README.md
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# ⚠️***WARNING: Under construction***
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**DDMR** was developed by SINTEF Health Research.
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</div>
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python EvaluationScripts/evaluation.py
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```
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## 🏆 Acknowledgements
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## ✨ How to cite
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Please, consider citing our paper, if you find the work useful:
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<pre>
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publisher = {arXiv},
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doi = {10.48550/ARXIV.2011.06033},
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url = {https://arxiv.org/abs/2011.06033}}
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</pre>
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# ⚠️***WARNING: Under construction***
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**DDMR** was developed by SINTEF Health Research. The corresponding manuscript describing the framework has been submitted to [IJCARS](https://www.springer.com/journal/11548) and the preprint is openly available at [arXiv](https://arxiv.org/abs/2211.15717).
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</div>
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python EvaluationScripts/evaluation.py
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```
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## ✨ How to cite
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Please, consider citing our paper, if you find the work useful:
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<pre>
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@misc{perezdefrutos2022ddmr,
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doi = {10.48550/ARXIV.2211.15717},
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url = {https://arxiv.org/abs/2211.15717},
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author = {de Frutos, Javier Pérez and Pedersen, André and Pelanis, Egidijus and Bouget, David and Survarachakan, Shanmugapriya and Langø, Thomas and Elle, Ole-Jakob and Lindseth, Frank},
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keywords = {Image and Video Processing (eess.IV), Computer Vision and Pattern Recognition (cs.CV), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Computer and information sciences, FOS: Computer and information sciences, I.4.9; I.5.4; J.3; J.6, I.4.9},
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title = {Train smarter, not harder: learning deep abdominal CT registration on scarce data},
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publisher = {arXiv},
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year = {2022},
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copyright = {Creative Commons Attribution 4.0 International}}
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</pre>
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