Added Literature

README.md

@@ -42,7 +42,20 @@ Advanced example demonstrating further use-cases (e.g. visualisation of segmenta
 Feel free to open an issue at [https://github.com/adhusch/PaCER](https://github.com/adhusch/PaCER) or drop a note to mail (at) andreashusch.de
 
 ### Literature
-A paper describing the algorithmic details of PaCER as well as reporting detailled accuracy analysis results on phantom and simulated data is currently in revision. It will be linked here after publication.
+#### The PaCER algorithm is described in:
+A. Husch, M. V. Petersen, P. Gemmar, J. Goncalves, F. Hertel: *PaCER – A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation, NeuroImage*: Clinical, Volume 17, 2018, Pages 80-89, Available online 6 October 2017, ISSN 2213-1582, https://doi.org/10.1016/j.nicl.2017.10.004., [[Open access fulltext]](http://orbilu.uni.lu/bitstream/10993/33063/1/1-s2.0-S2213158217302450-main.pdf).
+
+#### For people interested in even more technical details, the preprocessing pipeline is described in more details here:
+A. Husch, P. Gemmar, J. Lohscheller, F. Bernard, F. Hertel: *Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation*. Bildverarbeitung für die Medizin 2015, Springer Berlin Heidelberg, 2015.[[ORBilu repository with fulltext request form]](http://orbilu.uni.lu/handle/10993/20817)
+
+#### An example of using PaCER within an automatic image-registration pipeline for DBS assessment is described in:
+A. Husch, M. V. Petersen, P. Gemmar, J. Goncalves, N. Sunde, F. Hertel: *Post-operative deep brain stimulation assessment: Automatic data integration and report generation*, Brain Stimulation, Available online 1 February 2018. [[Open access fulltext]](http://orbilu.uni.lu/bitstream/10993/34548/2/Husch%2c%20Petersen%20et%20al.%202018%20-%20Post-operative%20deep%20brain%20stimulation%20assessment.pdf)
+
+Please acknowledge the respective papers when using the algorithm in your work.
+
+### Help?
+If you need help our have trouble processing local data you are invited to open a GitHub issue. Any feedback to further improve the performance on varing datasets is very welcome.
+
 
 ### Acknowledgement
 This work was made possible by a Aide à la Formation Recherche grant (AFR) to Andreas Husch by the Luxembourg National Research (FNR).