diff --git a/doc/index.rst b/doc/index.rst
index 2429bb9a15878f0a6cd39dff2af2bbe649872fb3..cbe3da86052f6c6f54e76f366077cde57558af94 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -7,27 +7,32 @@
 ===============================================
 
 Package to benchmark and evaluate a range of neural network architectures for
-binary segmentation tasks on 2D Eye Fundus Images (2DFI). It is build using PyTorch.
+binary segmentation tasks on 2D Eye Fundus Images (2DFI). It is build using
+PyTorch.
 
-Please use the below BibTeX reference to cite this work::
+Please use the BibTeX reference below to cite this work::
 
-  @ARTICLE{laibacher_anjos_2019,
-        author = {{Laibacher}, Tim and {Anjos}, Andr{\'e}},
+  @article{laibacher_anjos_2019,
+        author = {Laibacher, Tim and Anjos, Andr\'e},
         title = "{On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy}",
         journal = {arXiv e-prints},
         keywords = {Computer Science - Computer Vision and Pattern Recognition},
-        year = "2019",
-        month = "Sep",
+        year = {2019},
+        month = {Sep},
         url = {https://arxiv.org/abs/1909.03856},
         eid = {arXiv:1909.03856},
         pages = {arXiv:1909.03856},
         archivePrefix = {arXiv},
-        eprint = {1909.03856}}
+        eprint = {1909.03856},
+  }
+
 
 Additional Material
 ===================
 
-The additional material referred to in the paper can be found under :ref:`bob.ip.binseg.covdresults` and :download:`here </additionalresults.pdf>`
+The additional material referred to in the paper can be found under
+:ref:`bob.ip.binseg.covdresults` and :download:`here </additionalresults.pdf>`
+
 
 Users Guide
 ===========