github鏈接 : https://github.com/HzFu/COVID19_imaging_AI_paper_list

1.“A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19).” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.02.14.20023028

Shuai Wang, Bo Kang, Jinlu Ma, Xianjun Zeng, Mingming Xiao, Jia Guo, Mengjiao Cai, Jingyi Yang, Yaodong Li, Xiangfei Meng, Bo Xu.

2.“Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2002.09334

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

3.“Lung Infection Quantification of COVID-19 in CT Images with Deep Learning.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.04655

Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi

4.“Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.05037

Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot Siegel

5.“Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.03.12.20027185

Chuansheng Zheng, Xianbo Deng, Qing Fu, Qiang Zhou, Jiapei Feng, Hui Ma, Wenyu Liu, Xinggang Wang

6.“AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.03.19.20039354

Shuo Jin, Bo Wang, Haibo Xu, Chuan Luo, Lai Wei, Wei Zhao, Xuexue Hou, Wenshuo Ma, Zhengqing Xu, Zhuozhao Zheng, Wenbo Sun, Lan Lan, Wei Zhang, Xiangdong Mu, Chenxi Shi, Zhongxiao Wang, Jihae Lee, Zijian Jin, Minggui Lin, Hongbo Jin, Liang Zhang, Jun Guo, Benqi Zhao, Zhizhong Ren, Shuhao Wang, Zheng You, Jiahong Dong, Xinghuan Wang, Jianming Wang, Wei Xu

7.“COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.09871

Linda Wang, Alexander Wong

8.“Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.10849

Ali Narin, Ceren Kaya, Ziynet Pamuk

9.“A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis.” medRvix, 2020.
doi: https://doi.org/10.1101/2020.03.24.20042317

Shuo Wang, Yunfei Zha, Weimin Li, Qingxia Wu, Xiaohu Li, Meng Niu, Meiyun Wang, Xiaoming Qiu, Hongjun Li, He Yu, Wei Gong, Yan Bai, Li Li, Yongbei Zhu, Liusu Wang, Jie Tian

10.“Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection.” medRvix, 2020.
doi: https://doi.org/10.1101/2020.03.24.20041020

Laure Wynants, Ben Van Calster, Marc MJ Bonten, Gary S Collins, Thomas PA Debray, Maarten De Vos, Maria C Haller, Georg Heinze, Karel GM Moons, Richard D Riley, Ewoud Schuit, Luc Smits, Kym IE Snell, Ewout W Steyerberg, Christine Wallisch, Maarten van Smeden

11.“Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.11988

Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen

12.“Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.13815

Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber

13.“COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection.” arXiv, 2020
arXiv: https://arxiv.org/abs/2003.12338

Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia

14.“Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection.” arXiv, 2020
arXiv: https://arxiv.org/abs/2003.10769

Biraja Ghoshal, Allan Tucker

15.COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs. arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.14395

Muhammad Farooq, Abdul Hafeez

16.“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, 2020.
arXiv: https://arxiv.org/abs/2004.01184

Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Sally Elghamrawy

17.“Quantification of Tomographic Patterns associated with COVID-19 from Chest CT.” arXiv, 2020
arXiv: https://arxiv.org/abs/2004.01279

Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, Fran?ois Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas Re, Pina Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

18.“Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT.” Radiology, 2020.
doi: https://doi.org/10.1148/radiol.2020200905

Lin Li, Lixin Qin, Zeguo Xu, Youbing Yin, Xin Wang, Bin Kong, Junjie Bai, Yi Lu, Zhenghan Fang, Qi Song, Kunlin Cao, Daliang Liu, Guisheng Wang, Qizhong Xu, Xisheng Fang, Shiqin Zhang, Juan Xia, and Jun Xia

19.“Automatic X-ray COVID-19 Lung Image Classification System based on Multi-Level Thresholding and Support Vector Machine.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.03.30.20047787

Aboul Ella Hassanien Sr., Lamia Nabil Mahdy Jr., Kadry Ali Ezzat Jr., Haytham H. Elmousalami Jr., Hassan Aboul Ella Jr.

20.“Classification of Coronavirus Images using Shrunken Features.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.04.03.20048868

Saban Ozturk, Umut Ozkaya, Mucahid Barstugan

21.“Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks.” arXiv, 2020
arXiv: https://arxiv.org/abs/2003.11617

Ioannis D. Apostolopoulos, Tzani Bessiana

22.“Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.02.29.20029603

Xiaolong Qi, Zicheng Jiang, QIAN YU, Chuxiao Shao, Hongguang Zhang, Hongmei Yue, Baoyi Ma, Yuancheng Wang, Chuan Liu, Xiangpan Meng, Shan Huang, Jitao Wang, Dan Xu, Junqiang Lei, Guanghang Xie, Huihong Huang, Jie Yang, Jiansong Ji, Hongqiu Pan, Shengqiang Zou, Shenghong Ju

23.“Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective study.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.02.25.20021568

Jun Chen, Lianlian Wu, Jun Zhang, Liang Zhang, Dexin Gong, Yilin Zhao, Shan Hu, Yonggui Wang, Xiao Hu, Biqing Zheng, Kuo Zhang, Huiling Wu, Zehua Dong, Youming Xu, Yijie Zhu, Xi Chen, Lilei Yu, Honggang Yu

24.“Severe COVID-19 Pneumonia: Assessing Inflammation Burden with Volume-rendered Chest CT.” Radiology: Cardiothoracic Imaging, 2020, 2:2
doi: https://doi.org/10.1148/ryct.2020200044

Lei Tang, Xiaoyong Zhang, Yvquan Wang, and Xianchun Zeng

25.“Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019.” Journal of Pharmaceutical Analysis, 2020, 2095-1779
doi: https://doi.org/10.1016/j.jpha.2020.03.004

Cong Shen, Nan Yu, Shubo Cai, Jie Zhou, Jiexin Sheng, Kang Liu, Heping Zhou, Youmin Guo, Gang Niu

26.“Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.02.23.20026930

Ying Song, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Huiying Zhao, Yusheng Jie, Ruixuan Wang, Yutian Chong, Jun Shen, Yunfei Zha, Yuedong Yang

27.“Development and Evaluation of an AI System for COVID-19 Diagnosis.” medRxiv, 2020.
doi: https://doi.org/10.1101/2020.03.20.20039834

Cheng Jin, Weixiang Chen, Yukun Cao, Zhanwei Xu, Xin Zhang, Lei Deng, Chuansheng Zheng, Jie Zhou, Heshui Shi, Jianjiang Feng

28.“Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2003.09860

Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen

29.“Coronavirus Detection and Analysis on Chest CT with Deep Learning.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2004.02640

Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan

30.“Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2004.02060

Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof

31.“COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Image.” arXiv, 2020.
arXiv: https://arxiv.org/abs/2004.02696

Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi

備注：更新至4月7日…

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