Update README.md citation
@@ -91,7 +91,7 @@ NiftyNet mailing list: [nifty-net@live.ucl.ac.uk][ml-niftynet]
If you use NiftyNet in your work, please cite [Gibson and Li et. al. 2017][preprint]:
* E. Gibson\*, W. Li\*, C. Sudre, L. Fidon, D. Shakir, G. Wang, Z. Eaton-Rosen, R. Gray, T. Doel, Y. Hu, T. Whyntie, P. Nachev, D. C. Barratt, S. Ourselin, M. J. Cardoso and T. Vercauteren (2017)
-[NiftyNet: a deep-learning platform for medical imaging][preprint]
+[NiftyNet: a deep-learning platform for medical imaging. arXiv: 1709.03485][preprint]
BibTeX entry:
@@ -100,12 +100,24 @@ BibTeX entry:
@InProceedings{niftynet17,
author = {Eli Gibson and Wenqi Li and Carole Sudre and Lucas Fidon and Dzoshkun Shakir and Guotai Wang and Zach Eaton-Rosen and Robert Gray and Tom Doel and Yipeng Hu and Tom Whyntie and Parashkev Nachev and Dean C. Barratt and Sebastien Ourselin and M. Jorge Cardoso and Tom Vercauteren},
title = {NiftyNet: a deep-learning platform for medical imaging},
- booktitle = {Pre-print},
- year = {2017}
+ year = {2017},
+ eprint = {1709.03485},
+ eprintclass = {cs.CV},
+ eprinttype = {arXiv},
+
}
```
+The NiftyNet platform originated in software developed for [Li et. al. 2017][ipmi2017]:
+
+* Li W., Wang G., Fidon L., Ourselin S., Cardoso M.J., Vercauteren T. (2017)
+[On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task.][ipmi2017]
+In: Niethammer M. et al. (eds) Information Processing in Medical Imaging. IPMI 2017.
+Lecture Notes in Computer Science, vol 10265. Springer, Cham.
+DOI: [10.1007/978-3-319-59050-9_28][ipmi2017]
+
-[preprint]: https://www.dropbox.com/s/gsagqvpdczhs7s4/NiftyNet_2017.pdf?dl=1
+[ipmi2017]: http://doi.org/10.1007/978-3-319-59050-9_28
+[preprint]: http://arxiv.org/abs/1709.03485
### Licensing and Copyright
