Bibliography

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T. Good and M. DiTommaso, “SQL Clinic: the open-source alternative for electronic medical records.”, Psychiatr Serv, vol. 56, no. 3, pp. 269-71, 2005.
J. Allard et al., “SOFA - an Open Source Framework for Medical Simulation”, in Medicine Meets Virtual Reality (MMVR'15), Long Beach, USA, 2007.
F. Faure et al., “SOFA: A Multi-Model Framework for Interactive Physical Simulation”, in Soft Tissue Biomechanical Modeling for Computer Assisted Surgery, vol. 11, Y. Payan Springer Berlin Heidelberg, 2012, pp. 283-321.
K. D. Mandl et al., “The SMART Platform: early experience enabling substitutable applications for electronic health records.”, J Am Med Inform Assoc, 2012.
A. N. Tolopko et al., “Screensaver: an open source lab information management system (LIMS) for high throughput screening facilities.”, BMC bioinformatics, vol. 11, p. 260, 2010.
R
G. Sudre et al., “rtMEG: A Real-Time Software Toolbox for Brain-Machine Interfaces Using Magnetoencephelography”, in 17th International Conference on Biomagnetism Advances in Biomagnetism – Biomag2010, vol. 28, R. Magjarevic, J. H. Nagel, S. Supek, and A. Sušac Springer Berlin Heidelberg, 2010, pp. 362-365.
E. E. Graves, A. Quon, and B. W. Loo, “RT_Image: an open-source tool for investigating PET in radiation oncology.”, Technology in cancer research & treatment, vol. 6, no. 2, pp. 111-21, 2007.
H. Safadi and S. Faraj, “The Role of Workarounds during an Open Source Electronic Medical Record System Implementation”, ICIS 2010 Proceedings, no. Paper 47. 2010.
J. U. Espino et al., “The RODS Open Source Project: removing a barrier to syndromic surveillance.”, Studies in health technology and informatics, vol. 107, no. Pt 2, pp. 1192-6, 2004.
M. Onken, J. Riesmeier, M. Engel, A. Yabanci, B. Zabel, and S. Després, “Reversible anonymization of DICOM images using automatically generated policies.”, Studies in health technology and informatics, vol. 150, pp. 861-5, 2009.
L. Xiaoqi, Y. Ning, G. Yu, and J. Weitao, “Research and implementation of Electronic Medical Records Editing System based on CDA”, in Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on, 2012.
C. Morrison, A. Iosif, and M. Danka, “Report on existing open-source electronic medical records”. University of Cambridge, Computer Laboratory, 2010.
A. Cedilnik, B. Geveci, K. Moreland, J. P. Ahrens, and J. M. Favre, “Remote Large Data Visualization in the ParaView Framework.”, in EGPGV, 2006.
S. Sfakianakis, C. E. Chronaki, F. Chiarugi, F. Conforti, and D. G. Katehakis, “Reflections on the role of open source in health information system interoperability.”, Yearbook of medical informatics, pp. 50-60, 2007.
M. Sugimoto, “Recent advances in visualization, imaging, and navigation in hepatobiliary and pancreatic sciences.”, Journal of hepato-biliary-pancreatic surgery, 2009.
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A. Morin, J. Urban, and P. Sliz, “A quick guide to software licensing for the scientist-programmer.”, PLoS Comput Biol, vol. 8, no. 7, p. e1002598, 2012.
J. Noll, S. Beecham, and D. Seichter, “A Qualitative Study of Open Source Software Development: The Open EMR Project”, Empirical Software Engineering and Measurement, International Symposium on, pp. 30-39, 2011.
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M. Hanke et al., “PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data.”, Frontiers in neuroinformatics, vol. 3, p. 3, 2009.
M. Hanke, Y. O. Halchenko, P. B. Sederberg, S. J. Hanson, J. V. Haxby, and S. Pollmann, “PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.”, Neuroinformatics, vol. 7, no. 1, pp. 37-53, 2009.
A. S. Geller, I. K. Schlefer, P. B. Sederberg, J. Jacobs, and M. J. Kahana, “PyEPL: a cross-platform experiment-programming library.”, Behavior research methods, vol. 39, no. 4, pp. 950-8, 2007.
J. W. Peirce, “PsychoPy--Psychophysics software in Python.”, Journal of neuroscience methods, vol. 162, no. 1-2, pp. 8-13, 2007.
H. van der Linden, G. Boers, H. Tange, J. Talmon, and A. Hasman, “PropeR: a multi disciplinary EPR system.”, International journal of medical informatics, vol. 70, no. 2-3, pp. 149-60, 2003.
J. Ahrens, B. Geveci, and C. Law, “ParaView : An End-User Tool for Large Data Visualization”, Energy, vol. 836, pp. 717–732, 2005.
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B. Sainz de Abajo and A. L. Ballestero, “Overview of the Most Important Open Source Software: Analysis of the Benefits of OpenMRS, OpenEMR, and VistA”, in Telemedicine and E-Health Services, Policies, and Applications: Advancements and Developments, Hershey, PA, USA: IGI Global, 2012, pp. 315–346.
W. Stott, A. Ryan, I. J. Jacobs, U. Menon, C. Bessant, and C. Jones, “OSPACS: Ultrasound image management system.”, Source code for biology and medicine, vol. 3, p. 11, 2008.

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