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Journal Article
N. Xi, Wallace, R., Agarwal, G., Chan, D., Gershon, A., and Gupta, S., Identifying patients with asthma in primary care electronic medical record systems Chart analysis-based electronic algorithm validation study., Can Fam Physician, vol. 61, no. 10, pp. e474-83, 2015.
A. Enquobahrie, Cheng, P., Gary, K., Ibanez, L., Gobbi, D., Lindseth, F., Yaniv, Z., Aylward, S., Jomier, J., and Cleary, K., The image-guided surgery toolkit IGSTK: an open source C++ software toolkit., J Digit Imaging, vol. 20 Suppl 1, pp. 21-33, 2007.
K. H. Buetow and Niederhuber, J., Infrastructure for a learning health care system: CaBIG., Health Aff (Millwood), vol. 28, no. 3, pp. 923-4; author reply 924-5, 2009.
D. Tom-Aba, Olaleye, A., Olayinka, A. Tolulope, Nguku, P., Waziri, N., Adewuyi, P., Adeoye, O., Oladele, S., Adeseye, A., Oguntimehin, O., and Shuaib, F., Innovative Technological Approach to Ebola Virus Disease Outbreak Response in Nigeria Using the Open Data Kit and Form Hub Technology., PLoS One, vol. 10, no. 6, p. e0131000, 2015.
R. Vandaele, Aceto, J., Muller, M., Péronnet, F., Debat, V., Wang, C. - W., Huang, C. - T., Jodogne, S., Martinive, P., Geurts, P., and Marée, R., Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach., Sci Rep, vol. 8, no. 1, p. 538, 2018.
S. N. Kasthurirathne, Mamlin, B. W., and Cullen, T., Leveraging the Value of Human Relationships to Improve Health Outcomes. Lessons learned from the OpenMRS Electronic Health Record System., Appl Clin Inform, vol. 8, no. 1, pp. 108-121, 2017.
M. Eleftheriadou, Vazquez-Alfageme, C., Citu, C. Maria, Crosby-Nwaobi, R., Sivaprasad, S., Hykin, P., Hamilton, R. D., and Patel, P. J., Long-Term Outcomes of Aflibercept Treatment for Neovascular Age-Related Macular Degeneration in a Clinical Setting., Am J Ophthalmol, vol. 174, pp. 160-168, 2017.
P. Dalquen, Prince, S. Savic, Spieler, P., Kunze, D., Neumann, H., Eppenberger-Castori, S., Adams, H., Glatz, K., and Bubendorf, L., Making cytological diagnoses on digital images using the iPath network., Acta Cytol, vol. 58, no. 5, pp. 453-60, 2014.
L. C. Rosencrans, Sume, G. E., Kouontchou, J. - C., Voorman, A., Anokwa, Y., Fezeu, M., and Seaman, V. Y., Mapping for Health in Cameroon: Polio Legacy and Beyond., J Infect Dis, vol. 216, no. suppl_1, pp. S337-S342, 2017.
A. S. Kanter, Negin, J., Olayo, B., Bukachi, F., Johnson, E., and Sachs, S. Ehrlich, Millennium Global Village-Net: bringing together Millennium Villages throughout sub-Saharan Africa., Int J Med Inform, vol. 78, no. 12, pp. 802-7, 2009.
N. E. Bolan, Sthreshley, L., Ngoy, B., Ledy, F., Ntayingi, M., Makasy, D., Mbuyi, M. - C., Lowa, G., Nemeth, L., and Newman, S., mLearning in the Democratic Republic of the Congo: A Mixed-Methods Feasibility and Pilot Cluster Randomized Trial Using the Safe Delivery App., Glob Health Sci Pract, vol. 6, no. 4, pp. 693-710, 2018.
G. Biemba, Chiluba, B., Yeboah-Antwi, K., Silavwe, V., Lunze, K., Mwale, R. K., Russpatrick, S., and Hamer, D. H., A Mobile-Based Community Health Management Information System for Community Health Workers and Their Supervisors in 2 Districts of Zambia., Glob Health Sci Pract, vol. 5, no. 3, pp. 486-494, 2017.
A. Marcelo, Fatmi, Z., Firaza, P. Nimrod, Shaikh, S., Dandan, A. Joseph, Irfan, M., Bari, V., and Scott, R. E., An online method for diagnosis of difficult TB cases for developing countries., Stud Health Technol Inform, vol. 164, pp. 168-73, 2011.
G. Valeri, Mazza, F. Antonino, Maggi, S., Aramini, D., La Riccia, L., Mazzoni, G., and Giovagnoni, A., Open source software in a practical approach for post processing of radiologic images., Radiol Med, vol. 120, no. 3, pp. 309-23, 2015.
M. Shaikh, Vayani, A. Hm, Akram, S., and Qamar, N., Open-source electronic health record systems: A systematic review of most recent advances., Health Informatics J, vol. 28, no. 2, p. 14604582221099828, 2022.
D. R. Messroghli, Rudolph, A., Abdel-Aty, H., Wassmuth, R., Kuhne, T., Dietz, R., and Schulz-Menger, J., An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging., BMC Med Imaging, vol. 10, p. 16, 2010.
S. Jodogne, The Orthanc Ecosystem for Medical Imaging., J Digit Imaging, vol. 31, no. 3, pp. 341-352, 2018.
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. 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.
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.
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.
A. Alas Bhattacharya, Umar, N., Audu, A., Felix, H., Allen, E., Schellenberg, J. R. M., and Marchant, T., Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria., PLoS One, vol. 14, no. 1, p. e0211265, 2019.
P. Bankhead, Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., James, J. A., Salto-Tellez, M., and Hamilton, P. W., QuPath: Open source software for digital pathology image analysis., Sci Rep, vol. 7, no. 1, p. 16878, 2017.