| Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia |
Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Kaijin Xu, Lingxiang Ruan, Wei Wu |
| Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations |
Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu |
| Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods |
Mucahid Barstugan, Umut Ozkaya, Saban Ozturk |
| Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection |
Biraja Ghoshal, Allan Tucker |
| Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors |
AJ Venkatakrishnan, Arjun Puranik, Akash Anand, David Zemmour, Xiang Yao, Xiaoying Wu, Ramakrishna Chilaka, Dariusz K. Murakowski, Kristopher Standish, Bharathwaj Raghunathan, Tyler Wagner, Enrique Garcia-Rivera, Hugo Solomon, Abhinav Garg, Rakesh Barve, Anuli Anyanwu-Ofili, Najat Khan, Venky Soundararajan |
| Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision |
Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han |
| Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning |
Harshad Khadilkar, Tanuja Ganu, Deva P Seetharam |
| Lung Infection Quantification of COVID-19 in CT Images with Deep Learning |
Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi |
| Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks |
Ioannis D. Apostolopoulos, Tzani Bessiana |
| The Second Worldwide Wave of Interest in Coronavirus since the COVID-19 Outbreaks in South Korea, Italy and Iran: A Google Trends Study |
Artur Strzelecki |
| Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm |
Ganesh Kumar M, Soman K. P, Gopalakrishnan E. A, Vijay Krishna Menon, Sowmya V |
| Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction |
Simon James Fong, Gloria Li, Nilanjan Dey, Ruben Gonzalez Crespo, Enrique Herrera-Viedma |
| A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons |
Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang, Tzu-Hsuan Liu |
| Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model |
F. Martínez-Álvarez, G. Asencio-Cortés, J. F. Torres, D. Gutiérrez-Avilés, L. Melgar-García, R. Pérez-Chacón, C. Rubio-Escudero, J. C. Riquelme, A. Troncoso |
| A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study |
Halgurd S. Maghdid, Kayhan Zrar Ghafoor, Ali Safaa Sadiq, Kevin Curran, Khaled Rabie |
| Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning |
Khalid El Asnaoui, Youness Chawki, Ali Idri |
| Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks |
Ali Narin, Ceren Kaya, Ziynet Pamuk |
| COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs |
Muhammad Farooq, Abdul Hafeez |
| A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic |
Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi |
| Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods |
Tianyu Zeng, Yunong Zhang, Zhenyu Li, Xiao Liu, Binbin Qiu |
| Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network |
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber |
| Mapping the Landscape of Artificial Intelligence Applications against COVID-19 |
Joseph Bullock, Alexandra, Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz |
| COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection |
Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia |
| Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution |
I. De Falco, A. Della Cioppa, U. Scafuri, E. Tarantino |
| Total Variation Regularization for Compartmental Epidemic Models with Time-varying Dynamics |
Wenjie Zheng |
| 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, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot Siegel |
| Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand |
John Kastner, Hong Wei, Hanan Samet |
| Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China |
Artur Strzelecki |
| Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner |
Yunlu Wang, Menghan Hu, Qingli Li, Xiao-Ping Zhang, Guangtao Zhai, Nan Yao |
| COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis |
Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li |
| COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images |
Ezz El-Din Hemdan, Marwa A. Shouman, Mohamed Esmail Karar |
| Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images |
Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen |
| Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms |
Halgurd S. Maghdid, Aras T. Asaad, Kayhan Zrar Ghafoor, Ali Safaa Sadiq, Muhammad Khurram Khan |
| Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning |
Rishikesh Magar, Prakarsh Yadav, Amir Barati Farimani |
| Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics |
Malik Magdon-Ismail |
| Can AI help in screening Viral and COVID-19 pneumonia? |
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar R. Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz |
| Planning as Inference in Epidemiological Models |
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Ali Nasseri |
| Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation |
Gusztáv Gaál, Balázs Maga, András Lukács |
| Convex Recovery of Marked Spatio-Temporal Point Processes |
Anatoli Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie |
| Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification |
Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen |
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