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List of Research Papers
List of Research Papers:
Searchs:
https://www.medrxiv.org/search/artificial%252Bintelligence%252Bcoronavirus
https://pubmed.ncbi.nlm.nih.gov/?term=Deep+Learning+coronavirus
https://arxiv.org/search/?query=artificial+intelligence+coronavirus&searchtype=all&source=header
Papers:
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Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia Xiaowei Xu. https://arxiv.org/abs/2002.09334
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Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective study. Jun CheN. https://www.medrxiv.org/content/10.1101/2020.02.25.20021568v2
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Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images Ying Song. https://www.medrxiv.org/content/10.1101/2020.02.23.20026930v1
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Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis Ophir Gozes. https://arxiv.org/abs/2003.05037
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Li L, Qin L, Xu Z, et al. Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT [published online ahead of print, 2020 Mar 19]. Radiology. 2020;200905. doi:10.1148/radiol.2020200905
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Ting, D.S.W., Peng, L., Varadarajan, A.V., Keane, P.A., Burlina, P., Chiang, M.F., Schmetterer, L., Pasquale, L.R., Bressler, N.M., Webster, D.R., Abramoff, M., Wong, T.Y., Deep learning in ophthalmology: The technical and clinical considerations, Progress in Retinal and Eye Research (2019), doi: https://doi.org/10.1016/j.preteyeres.2019.04.003.
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Grewal, Parampal & Oloumi, Faraz & Rubin, Uriel & Tennant, Matthew. (2018). Deep learning in ophthalmology: a review. Canadian Journal of Ophthalmology. 53. 10.1016/j.jcjo.2018.04.019.
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An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence Ting, Daniel S.W.Lee, Aaron Y.Wong, Tien Y. et al. Ophthalmology, Volume 126, Issue 11, 1475 - 1479
Others
Deep Learning in Coronavirus Medical Imaging.