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O. Ratib, Roduit, N., Nidup, D., De Geer, G., Rosset, A., and Geissbuhler, A., PACS for Bhutan: a cost effective open source architecture for emerging countries., Insights Imaging, 2016.
J. Ahrens, Geveci, B., and Law, C., ParaView : An End-User Tool for Large Data Visualization, Energy, vol. 836, pp. 717–732, 2005.
J. D. Franklin, Guidry, A., and Brinkley, J. F., A partnership approach for Electronic Data Capture in small-scale clinical trials., J Biomed Inform, vol. 44 Suppl 1, pp. S103-8, 2011.
J. Chelsom and Dogar, N., Patient Access to Their Health Record Using Open Source EHR., Stud Health Technol Inform, vol. 208, pp. 104-8, 2015.
B. S. Glicksberg, Oskotsky, B., Thangaraj, P. M., Giangreco, N., Badgeley, M. A., Johnson, K. W., Datta, D., Rudrapatna, V., Rappoport, N., Shervey, M. M., Miotto, R., Goldstein, T. C., Rutenberg, E., Frazier, R., Lee, N., Israni, S., Larsen, R., Percha, B., Li, L., Dudley, J. T., Tatonetti, N. P., and Butte, A. J., PatientExploreR: an extensible application for dynamic visualization of patient clinical history from Electronic Health Records in the OMOP Common Data Model Title., Bioinformatics, 2019.
S. M. Shenoy, Performing Quantitative Imaging Acquisition, Analysis and Visualization Using the Best of Open Source and Commercial Software Solutions., Microsc Microanal, vol. 22, no. Suppl 3, pp. 2064-2065, 2016.
D. Sa Orcero, PESCA: Developing an open source platform to bring eHealth to latin america and the caribbean, in Proceedings of the 1st International Workshop on Open Source in European Health Care: The Time is Ripe, OSEHC 2009 In Conjunction with BIOSTEC 2009 and the EFMI LIFOSS WG, 2009.
J. E. M. Midgley, Hoermann, R., Larisch, R., and Dietrich, J. W., Physiological states and functional relation between thyrotropin and free thyroxine in thyroid health and disease: in vivo and in silico data suggest a hierarchical model., J Clin Pathol, vol. 66, no. 4, pp. 335-42, 2013.
R. Hoermann, Midgley, J. E. M., Larisch, R., and Dietrich, J. W., Is pituitary TSH an adequate measure of thyroid hormone-controlled homoeostasis during thyroxine treatment?, Eur J Endocrinol, vol. 168, no. 2, pp. 271-80, 2013.
J. W. Gichoya, Kohli, M., Ivange, L., Schmidt, T. S., and Purkayastha, S., A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System., J Digit Imaging, vol. 31, no. 3, pp. 361-370, 2018.
R. Krexner and Duftschmid, G., Plug-and-play Integration of dual-model based Knowledge Artefacts into an Open Source Ehr System., Stud Health Technol Inform, vol. 205, pp. 101-5, 2014.
S. Cottington, PopHealth primer. ONC funds open-source software to streamline clinical quality measures reporting for meaningful use program., J AHIMA, vol. 82, no. 9, pp. 48-50, 2011.
D. Schrimpf, Haag, M., and Pilz, L. R., Possible combinations of electronic data capture and randomization systems. principles and the realization with RANDI2 and OpenClinica., Methods Inf Med, vol. 53, no. 3, pp. 202-7, 2014.
T. L. Wiemken, Furmanek, S. P., Carrico, R. M., Mattingly, W. A., Persaud, A. K., Guinn, B. E., Kelley, R. R., and Ramirez, J. A., Process control charts in infection prevention: {Make} it simple to make it happen, American Journal of Infection Control, 2016.
H. van der Linden, Boers, G., Tange, H., Talmon, J., and Hasman, A., PropeR: a multi disciplinary EPR system., International journal of medical informatics, vol. 70, no. 2-3, pp. 149-60, 2003.
J. W. Peirce, PsychoPy--Psychophysics software in Python., Journal of neuroscience methods, vol. 162, no. 1-2, pp. 8-13, 2007.
A. S. Geller, Schlefer, I. K., Sederberg, P. B., Jacobs, J., and Kahana, M. J., PyEPL: a cross-platform experiment-programming library., Behavior research methods, vol. 39, no. 4, pp. 950-8, 2007.
M. Hanke, Halchenko, Y. O., Sederberg, P. B., Hanson, S. J., Haxby, J. V., and Pollmann, S., PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data., Neuroinformatics, vol. 7, no. 1, pp. 37-53, 2009.
M. Hanke, Halchenko, Y. O., Sederberg, P. B., Olivetti, E., Fründ, I., Rieger, J. W., Herrmann, C. S., Haxby, J. V., Hanson, S. J., and Pollmann, S., PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data., Frontiers in neuroinformatics, vol. 3, p. 3, 2009.