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Zhang J. : Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography a prospective study. medRxiv.  Chen J. Wu L. Zhang J. : Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography a prospective study. medRxiv.","DOI":"10.1101\/2020.02.25.20021568"},{"key":"e_1_3_2_1_5_1","unstructured":"Gozes O. Frid-Adar M. Greenspan H. : Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic Initial Results for Automated Detection & Patient Monitoring using De. arXiv:2003.05037.  Gozes O. Frid-Adar M. Greenspan H. : Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic Initial Results for Automated Detection & Patient Monitoring using De. arXiv:2003.05037."},{"key":"e_1_3_2_1_6_1","unstructured":"Zheng C. Deng X. Fu Q. : Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label. medRxiv.  Zheng C. Deng X. Fu Q. : Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label. medRxiv."},{"key":"e_1_3_2_1_7_1","unstructured":"Sethy P. K. Behera S. K. : Detection of Coronavirus Disease (COVID-19) Based on Deep Features. arxiv: 202003. 0300.  Sethy P. K. Behera S. K. : Detection of Coronavirus Disease (COVID-19) Based on Deep Features. arxiv: 202003. 0300."},{"key":"e_1_3_2_1_8_1","volume-title":"Radiology","author":"Li L.","year":"2020","unstructured":"Li L. , Qin L. , Xu Z. , : Artificial Intelligence Distinguishes COVID-19 from Community-Acquired Pneumonia on Chest CT . Radiology , 2020 . Li L., Qin L., Xu Z., : Artificial Intelligence Distinguishes COVID-19 from Community-Acquired Pneumonia on Chest CT. Radiology, 2020."},{"key":"e_1_3_2_1_9_1","unstructured":"Jin C. Chen W. Cao Y. : Development and Evaluation of an AI System for COVID-19 Diagnosis. medRxiv.  Jin C. Chen W. Cao Y. : Development and Evaluation of an AI System for COVID-19 Diagnosis. medRxiv."},{"key":"e_1_3_2_1_10_1","unstructured":"Shi F. Xia L. Shan F. : Large-Scale Screening of COVID-19 from Community-Acquired Pneumonia using Infection Size-Aware Classification. arXiv:2003.09860.  Shi F. Xia L. Shan F. : Large-Scale Screening of COVID-19 from Community-Acquired Pneumonia using Infection Size-Aware Classification. arXiv:2003.09860."},{"key":"e_1_3_2_1_11_1","unstructured":"Jin S. Wang B. Xu H. : AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks. medRxiv.  Jin S. Wang B. Xu H. : AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks. medRxiv."},{"key":"e_1_3_2_1_12_1","unstructured":"Hemdan E. E. D. Shouman M. A. Karar M. E.: COVIDX-Net A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images. arXiv:2003.11055.  Hemdan E. E. D. Shouman M. A. 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G. : Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms. arXiv:2004.00038.  Halgurd S. M. Aras T. A. Kayhan Z. G. : Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms. arXiv:2004.00038."},{"key":"e_1_3_2_1_24_1","unstructured":"Muhammad F. Abdul H.: COVID-ResNet A Deep Learning Framework for Screening of COVID19 from Radiographs. arXiv:2003.14395.  Muhammad F. Abdul H.: COVID-ResNet A Deep Learning Framework for Screening of COVID19 from Radiographs. arXiv:2003.14395."},{"key":"e_1_3_2_1_25_1","unstructured":"Nour E. M. K. Mohamed H. N. T. Aboul E. H. : Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset. arXiv:2004.01184.  Nour E. M. K. Mohamed H. N. T. Aboul E. 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Sivaramakrishnan R. Jen S. Philip O. A. : Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. arXiv:2004.08379."},{"key":"e_1_3_2_1_42_1","unstructured":"Mohammad R. Abolfazl A.: A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images. arXiv:2004.08052.  Mohammad R. Abolfazl A.: A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images. arXiv:2004.08052."},{"key":"e_1_3_2_1_43_1","unstructured":"Shervin M. Rahele K. Milan S. : Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning. arXiv:2004.09363.  Shervin M. Rahele K. Milan S. : Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning. arXiv:2004.09363."},{"key":"e_1_3_2_1_44_1","unstructured":"Sara H. K. Peyman H. K. Michal J. W. : Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach. arXiv:2004.10641.  Sara H. K. 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Zhong Y. : Using Deep Convolutional Neural Networks to Diagnose COVID-19 From Chest X-Ray Images. arXiv:2007.09695."},{"key":"e_1_3_2_1_77_1","unstructured":"Md. K. Md. A. Md. T. : CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images. arXiv:2007.11993.  Md. K. Md. A. Md. T. : CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images. arXiv:2007.11993."},{"key":"e_1_3_2_1_78_1","unstructured":"Imon B. Priyanshu S. Saptarshi P. : Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. arXiv:2006.13262.  Imon B. Priyanshu S. Saptarshi P. : Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. arXiv:2006.13262."},{"key":"e_1_3_2_1_79_1","unstructured":"Wynants L. Van Calster B. Bonten M. M. J. : Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection. medRxiv.  Wynants L. 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