User:Cailinharris/COVID-19/Bibliography

Bibliography

Alsharif, W., & Qurashi, A. (2020). Effectiveness of COVID-19 diagnosis and management tools: A Review. Radiography, 27(2), 682–687. https://doi.org/10.1016/j.radi.2020.09.010

Benmalek, E., Elmhamdi, J., & Jilbab, A. (2021). Comparing CT scan and chest X-ray imaging for covid-19 diagnosis. Biomedical Engineering Advances, 1, 100003. https://doi.org/10.1016/j.bea.2021.100003

Inui, S., Gonoi, W., Kurokawa, R., Nakai, Y., Watanabe, Y., Sakurai, K., Ishida, M., Fujikawa, A., & Abe, O. (2021). The role of chest imaging in the diagnosis, management, and monitoring of Coronavirus Disease 2019 (covid-19). Insights into Imaging, 12(1). https://doi.org/10.1186/s13244-021-01096-1

Panwar, H., Gupta, P. K., Siddiqui, M. K., Morales-Menendez, R., & Singh, V. (2020). Application of deep learning for fast detection of COVID-19 in X-rays using ncovnet. Chaos, Solitons & Fractals, 138, 109944. https://doi.org/10.1016/j.chaos.2020.109944

Tabik, S., Gómez-Ríos, A., Martín-Rodríguez, J. L., Sevillano-García, I., Rey-Area, M., Charte, D., Guirado, E., Luengo, J., Valero-González, M. A., García-Villanova, P., Olmedo-Sánchez, E., & Herrera, F. (n.d.). COVIDGR dataset and Covid-SDNet methodology for predicting COVID-19 based on chest X-ray images. IEEE Xplore. Retrieved September 14, 2022, from https://ieeexplore.ieee.org/document/9254002

Tay, Y. X., Kothan, S., Kada, S., Cai, S., & Lai, C. W. (2021). Challenges and optimization strategies in medical imaging service delivery during COVID-19. World Journal of Radiology, 13(5), 102–121. https://doi.org/10.4329/wjr.v13.i5.102