Issue replaced bibtex entry for IPMI paper with bibtex entry for arXiv paper in RTD doc index
@@ -64,7 +64,7 @@ NiftyNet mailing list: nifty-net@live.ucl.ac.uk
Citing NiftyNet
---------------
-If you use NiftyNet in your work, please cite `Li et. al. 2017`_:
+If you use NiftyNet in your work, please cite `Gibson and Li et. al. 2017`_:
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.`_
@@ -76,12 +76,15 @@ BibTeX entry:
.. code-block:: bibtex
@InProceedings{niftynet17,
- author = {Li, Wenqi and Wang, Guotai and Fidon, Lucas and Ourselin, Sebastien and Cardoso, M. Jorge and Vercauteren, Tom},
- title = {On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task},
- booktitle = {International Conference on Information Processing in Medical Imaging (IPMI)},
- year = {2017}
+ author = {Eli Gibson and Wenqi Li and Carole Sudre and Lucas Fidon and Dzhoshkun I. 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},
+ year = {2017},
+ eprint = {1709.03485},
+ eprintclass = {cs.CV},
+ eprinttype = {arXiv},
}
+.. _`Gibson and Li et. al. 2017`: http://arxiv.org/abs/1709.03485
.. _`Li et. al. 2017`: http://doi.org/10.1007/978-3-319-59050-9_28
.. _`On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task.`: http://doi.org/10.1007/978-3-319-59050-9_28
.. _`10.1007/978-3-319-59050-9_28`: http://doi.org/10.1007/978-3-319-59050-9_28
