Javier Pérez de Frutos commited on
Commit
5f06a0f
·
unverified ·
2 Parent(s): 5b3d1c4 b63bc97

Merge pull request #9 from andreped/arXiv-update

Browse files
Files changed (1) hide show
  1. README.md +9 -9
README.md CHANGED
@@ -9,7 +9,7 @@
9
 
10
  # ⚠️***WARNING: Under construction***
11
 
12
- **DDMR** was developed by SINTEF Health Research. A paper is submitted to X and the preprint is openly available at [arXiv](some-url-here.com).
13
 
14
 
15
  </div>
@@ -45,17 +45,17 @@ For instance:
45
  python EvaluationScripts/evaluation.py
46
  ```
47
 
48
- ## 🏆 Acknowledgements
49
-
50
  ## ✨ How to cite
51
  Please, consider citing our paper, if you find the work useful:
52
  <pre>
53
- @misc{frutos2022ddmr,
54
- author={Pérez de Frutos, Javier and Pedersen, André and Pelanis, Egidijus and Bouget, David and Survarachakan, Shanmugapriya and Langø, Thomas and Elle, Ole-Jakob and Lindseth, Frank},
 
 
 
 
55
  publisher = {arXiv},
56
- title={Train smarter, not harder: learning deep abdominal CT registration on scarce data},
57
- year={2022},
58
- doi = {10.48550/ARXIV.2011.06033},
59
- url = {https://arxiv.org/abs/2011.06033}}
60
  </pre>
61
 
 
9
 
10
  # ⚠️***WARNING: Under construction***
11
 
12
+ **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).
13
 
14
 
15
  </div>
 
45
  python EvaluationScripts/evaluation.py
46
  ```
47
 
 
 
48
  ## ✨ How to cite
49
  Please, consider citing our paper, if you find the work useful:
50
  <pre>
51
+ @misc{perezdefrutos2022ddmr,
52
+ doi = {10.48550/ARXIV.2211.15717},
53
+ url = {https://arxiv.org/abs/2211.15717},
54
+ 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},
55
+ 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},
56
+ title = {Train smarter, not harder: learning deep abdominal CT registration on scarce data},
57
  publisher = {arXiv},
58
+ year = {2022},
59
+ copyright = {Creative Commons Attribution 4.0 International}}
 
 
60
  </pre>
61