This is a collection of COVID-19 imaging-based AI research papers and datasets. If you have paper to recommend or any suggestions, please feel free to contact us.

Contributed by Huazhu Fu, Deng-Ping Fan, Geng Chen, and Tao Zhou.

--- Last updated: 2020/05/15 ---

1. Survey and comments
2. Datasets
3. Imaging-based Clinical Papers
4. AI-related Technical Papers
   1. CT-based methods:
   2. CXR-based methods:
   3. Other imaging methods:
5. See COVID-19 papers from:
   1. arXiv
   2. medRxiv and bioRxiv
   3. RSNA
   4. JAMA
   5. NEJM
   6. Science
   7. PNAS
   8. The Lancet
6. COVID-19 Special Issue CFP:
   1. IEEE Transactions on Medical Imaging:
      Special Issue on "Imaging-based Diagnosis of COVID-19"
   2. IEEE Journal of Biomedical and Health Informatics:
      Special Issue on "AI-driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic"
   3. Medical Image Analysis:
      Special Issue on "Intelligent Analysis of COVID-19 Imaging Data"
7. COVID-19 World Dashboard:
   1. From: World Health Organization (WHO)
   2. From: Johns Hopkins University (JHU)

1. "Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19." IEEE Reviews in Biomedical Engineering, 2020.
   doi: https://doi.org/10.1109/RBME.2020.2987975

   Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen

2. "The role of imaging in the detection and management of COVID-19: a review." IEEE Reviews in Biomedical Engineering, 2020.
   doi: https://doi.org/10.1109/RBME.2020.2990959

   Di Dong, Zhenchao Tang, Shuo Wang, Hui Hui, Lixin Gong, Yao Lu, Zhong Xue, Hongen Liao, Fang Chen, Fan Yang, Ronghua Jin, Kun Wang, Zhenyu Liu, Jingwei Wei, Wei Mu, Hui Zhang, Jingying Jiang, Jie Tian, Hongjun Li

3. "Detection of Covid-19 From Chest X-ray Images Using Artificial Intelligence: An Early Review." arXiv, 2020.
   arXiv: https://arxiv.org/abs/2004.05436

   Muhammad Ilyas, Hina Rehman, Amine Nait-ali

4. "Curbing the AI-induced enthusiasm in diagnosing COVID-19 on chest X-Rays: the present and the near-future." medRxiv 2020.04.28.20082776, 2020.
   doi: https://doi.org/10.1101/2020.04.28.20082776

   Alexandru Burlacu, Radu Crisan-Dabija, Iolanda Valentina Popa, Bogdan Artene, Vasile Birzu, Mihai Pricop, Cristina Plesoianu, Daniele Generali

5. "Computer Vision For COVID-19 Control: A Survey." arXiv, 2020.
   arXiv: https://arxiv.org/abs/2004.09420

   Anwaar Ulhaq Asim Khan Douglas Gomes Manoranjan Paul

6. "Artificial Intelligence against COVID-19: An Early Review." IZA Discussion Papers 13110, Institute of Labor Economics (IZA), 2020.
   Link: http://ftp.iza.org/dp13110.pdf

   Wim Naudé.

7. "Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection." medRvix 2020.03.24.20041020, 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

8. "Digital technology and COVID-19." Nature Medicine, 2020.
   doi: https://doi.org/10.1038/s41591-020-0824-5

   Daniel Shu Wei Ting, Lawrence Carin, Victor Dzau, and Tien Y. Wong

9. "A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic." Clinical Radiology, Volume 75, Issue 5, May 2020, Pages 329-334
   doi: https://doi.org/10.1016/j.crad.2020.03.008

   A. Nair, J.C.L. Rodrigues, S. Hare, A. Edey, A. Devaraj, J. Jacob, A. Johnstone, R. McStay, Erika Denton, G. Robinson

10. Mapping the landscape of artificial intelligence applications against COVID-19. arXiv, 2020. (Submitted on 25 Mar 2020)
    arXiv: https://arxiv.org/abs/2003.11336

    Joseph Bullock, Alexandra (Sasha)Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz

11. "Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.14143

    Mahdi Rezaei, Mahsa Shahidi

1. "COVID-19 image data collection." arXiv, 2020.
   arXiv: https://arxiv.org/abs/2003.11597
   dataset: https://github.com/ieee8023/covid-chestxray-dataset

   Joseph Paul Cohen, Paul Morrison, and Lan Dao

2. "COVID-CT-Dataset: a CT scan dataset about COVID-19." arXiv, 2020.
   arXiv: https://arxiv.org/abs/2003.13865
   dataset: https://github.com/UCSD-AI4H/COVID-CT

   Jinyu Zhao, Yichen Zhang, Xuehai He, and Pengtao Xie

3. "COVID-19 Patients Lungs X Ray Images 10000."
   Kaggle: https://www.kaggle.com/nabeelsajid917/covid-19-x-ray-10000-images

4. "COVID-19 Radiography Database."
   Kaggle: https://www.kaggle.com/tawsifurrahman/covid19-radiography-database

5. "COVID-19 Xray Dataset (Train & Test Sets)."
   Kaggle: https://www.kaggle.com/khoongweihao/covid19-xray-dataset-train-test-sets

6. "COVID-19 CT segmentation dataset"
   Link: https://medicalsegmentation.com/covid19/

7. "Fighting Covid-19 Challenge - A platform for open research on large Covid-19 imaging datasets"
   Link: https://www.covid19challenge.eu

8. "COVID-19: CASISTICA RADIOLOGICA ITALIANA"
   Link: https://www.sirm.org/category/senza-categoria/covid-19/

9. "Radiopaedia: COVID-19"
   Link: https://radiopaedia.org/articles/covid-19-3

10. "COVID-19 CT Lung and Infection Segmentation Dataset." [Data set]. Zenodo, 2020.
    doi: http://doi.org/10.5281/zenodo.3757476
    dataset: https://zenodo.org/record/3757476#.XqgOxS-cZXh

    Jun Ma, Cheng Ge, Yixin Wang, Xingle An, Jiantao Gao, Ziqi Yu, Minqing Zhang, Xin Liu, Xueyuan Deng, Shucheng Cao, Hao Wei, Sen Mei, Xiaoyu Yang, Ziwei Nie, Chen Li, Lu Tian, Yuntao Zhu, Qiongjie Zhu, Guoqiang Dong, Jian He

11. "Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.12537
    dataset: https://gitee.com/junma11/COVID-19-CT-Seg-Benchmark

    Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang

12. "POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.12084
    dataset: https://github.com/jannisborn/covid19_pocus_ultrasound

    Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann

13. "MosMedData: Chest CT Scans with COVID-19 Related Findings."
    web: https://mosmed.ai/en/

    Sergey Morozov, Anna Andreychenko, Ivan Blokhin, Anton Vladzymyrskyy, Pavel Gelezhe, Victor Gombolevskiy, Anna Gonchar, Natalya Ledikhova, Nikolay Pavlov, Valeriya Chernina

14. "SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification." medRxiv 2020.04.24.20078584, 2020.
    doi: https://doi.org/10.1101/2020.04.24.20078584
    web: www.kaggle.com/plameneduardo/sarscov2-ctscan-dataset

    Eduardo Soares, Plamen Angelov, Sarah Biaso, Michele Higa Froes, Daniel Kanda Abe

1. "Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR." Radiology, 2020.
   doi: https://doi.org/10.1148/radiol.2020200432

   Yicheng Fang, Huangqi Zhang, Jicheng Xie, Minjie Lin, Lingjun Ying, Peipei Pang, and Wenbin Ji

2. "Chest CT Features of COVID-19 in Rome, Italy." Radiology, 2020.
   doi: https://doi.org/10.1148/radiol.2020201237

   Damiano Caruso, Marta Zerunian, Michela Polici, Francesco Pucciarelli, Tiziano Polidori, Carlotta Rucci, Gisella Guido, Benedetta Bracci, Chiara de Dominicis, and Prof. Andrea Laghi

3. "Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia." Radiology, 2020.
   doi: https://doi.org/10.1148/radiol.2020200370

   Feng Pan, Tianhe Ye, Peng Sun, Shan Gui, Bo Liang, Lingli Li, Dandan Zheng, Jiazheng Wang, Richard L. Hesketh, Lian Yang, and Chuansheng Zheng

4. "Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases." Radiology, 2020.
   doi: https://doi.org/10.1148/radiol.2020200642

   Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, and Liming Xia

5. "Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review." European Radiology, 2020.
   doi: https://doi.org/10.1007/s00330-020-06801-0

   Zheng Ye, Yun Zhang, Yi Wang, Zixiang Huang, and Bin Song

6. "The role of CT in case ascertainment and management of COVID-19 pneumonia in the UK: insights from high-incidence regions." The Lancet Respiratory Medicine, 2020.
   doi: https://doi.org/10.1016/S2213-2600(20)30132-6

   Felix Chua, Darius Armstrong-James, Sujal R Desai, Joseph Barnett, Vasileios Kouranos, Onn Min Kon, Ricardo José, Rama Vancheeswaran, Michael R Loebinger, Joyce Wong, Maria Teresa Cutino-Moguel, Cliff Morgan, Stephane Ledot, Boris Lams, Wing Ho Yip, Leski Li, Ying Cheong Lee, Adrian Draper, Sze Shyang Kho, Elisabetta Renzoni, Katie Ward, Jimstan Periselneris, Sisa Grubnic, Marc Lipman, Athol U Wells, and Anand Devara

7. "CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)." Radiology, 2020, 295:1, 202-207.
   doi: https://doi.org/10.1148/radiol.2020200230

   Michael Chung, Adam Bernheim, Xueyan Mei, Ning Zhang, Mingqian Huang, Xianjun Zeng, Jiufa Cui, Wenjian Xu, Yang Yang, Zahi A. Fayad, Adam Jacobi, Kunwei Li, Shaolin Li, and Hong Shan

8. "Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review." Radiology: Cardiothoracic Imaging, 2020, 2:1
   doi: https://doi.org/10.1148/ryct.2020200034

   Ming-Yen Ng, Elaine YP Lee, Jin Yang, Fangfang Yang, Xia Li, Hongxia Wang, Macy Mei-sze Lui, Christine Shing-Yen Lo, Barry Leung, Pek-Lan Khong, Christopher Kim-Ming Hui, Kwok-yung Yuen, and Michael David Kuo

9. "Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach." Radiology: Cardiothoracic Imaging, 2020, 2:2
   doi: https://doi.org/10.1148/ryct.2020200075

   Lu Huang, Rui Han, Tao Ai, Pengxin Yu, Han Kang, Qian Tao, and Liming Xia

10. "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China." The Lancet, vol. 395, no. 10223, pp. 497–506, 2020.
    doi: https://doi.org/10.1016/S0140-6736(20)30183-5

    Chaolin Huang, Yeming Wang, Xingwang Li, Lili Ren, Jianping Zhao, Yi Hu, Li Zhang, Guohui Fan, Jiuyang Xu, Xiaoying Gu, Zhenshun Cheng, Ting Yu, Jiaan Xia, Yuan Wei, Wenjuan Wu, Xuelei Xie, Wen Yin, Hui Li, Min Liu, Yan Xiao, Hong Gao, Li Guo, Jungang Xie, Guangfa Wang, Rongmeng Jiang, Zhancheng Gao, Qi Jin, Jianwei Wang, and Bin Cao

11. "Frequency and Distribution of Chest Radiographic Findings in COVID-19 Positive Patients." Radiology, 2020.
    doi: https://doi.org/10.1148/radiol.2020201160

    Ho Yuen Frank Wong, Hiu Yin Sonia Lam, Ambrose Ho-Tung Fong, Siu Ting Leung, Thomas Wing-Yan Chin, Christine Shing Yen Lo, Macy Mei-Sze Lui, Jonan Chun Yin Lee, Keith Wan-Hang Chiu, Tom Chung, Elaine Yuen Phin Lee, Eric Yuk Fai Wan, Fan Ngai Ivan Hung, Tina Poy Wing Lam, Michael Kuo, and Ming-Yen Ng

12. "A Systematic Meta-Analysis of CT Features of COVID-19: Lessons from Radiology." medRxiv 2020.04.04.20052241, 2020.
    doi: https://doi.org/10.1101/2020.04.04.20052241

    Vasantha Kumar Venugopal, Vidur Mahajan, Sriram Rajan, Vikash Kumar Agarwal, Ruchika Rajan, Salsabeel Syed, Harsh Mahajan

13. "Differences in Clinical and Imaging Presentation of Pediatric Patients with COVID-19 in Comparison with Adults." Radiology: Cardiothoracic Imaging, 2020, 2:2
    doi: https://doi.org/10.1148/ryct.2020200117

    Amei Chen, Junxiang Huang, Yuting Liao, Zaosong Liu, Dandan Chen, Chongzhe Yang, Ruimeng Yang, and Xinhua Wei

14. "A Systematic Meta-Analysis of CT Features of COVID-19: Lessons from Radiology." medRxiv 2020.04.04.20052241, 2020.
    doi: https://doi.org/10.1101/2020.04.04.20052241

    Vasantha Kumar Venugopal, Vidur Mahajan, Sriram Rajan, Vikash Kumar Agarwal, Ruchika Rajan, Salsabeel Syed, Harsh Mahajan

15. "A globally available COVID-19 - Template for clinical imaging studies." medRxiv 2020.04.02.20048793, 2020.
    doi: https://doi.org/10.1101/2020.04.02.20048793

    Gabriel Alexander Salg, Maria Katharina Ganten, Matthias Baumhauer, Claus Peter Heussel, Jens Kleesiek

16. "CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)." European Radiology, 2020.
    doi: https://doi.org/10.1007/s00330-020-06817-6

    Kunwei Li, Yijie Fang, Wenjuan Li, Cunxue Pan, Peixin Qin, Yinghua Zhong, Xueguo Liu, Mingqian Huang, Yuting Liao, and Shaolin Li

17. "The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society." Radiology, 2020.
    doi: https://doi.org/10.1148/radiol.2020201365

    Geoffrey D. Rubin, Christopher J. Ryerson, Linda B. Haramati, Nicola Sverzellati, Jeffrey P. Kanne, Suhail Raoof, Neil W. Schluger, Annalisa Volpi, Jae-Joon Yim, Ian B. K. Martin, Deverick J. Anderson, Christina Kong, Talissa Altes, Andrew Bush, Sujal R. Desai, Jonathan Goldin, Jin Mo Goo, Marc Humbert, Yoshikazu Inoue, Hans-Ulrich Kauczor, Fengming Luo, Peter J. Mazzone, Mathias Prokop, Martine Remy-Jardin, Luca Richeldi, Cornelia M. Schaefer-Prokop, Noriyuki Tomiyama, Athol U. Wells, and Ann N. Leung

18. "Explainable-By-Design Approach For Covid-19 Classification Via CT-Scan." medRxiv 2020.04.24.20078584, 2020.
    doi: https://doi.org/10.1101/2020.04.24.20078584

    Plamen Angelov, Eduardo Soares

1. "A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)." medRxiv 2020.02.14.20023028, 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 2020.03.19.20039354, 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. "A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis." medRvix 2020.03.24.20042317, 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

8. "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

9. "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, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas Re, Pina Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

10. "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

11. "Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study." medRxiv 2020.02.29.20029603, 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

12. "Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective study." medRxiv 2020.02.25.20021568, 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

13. "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

14. "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

15. "Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images." medRxiv 2020.02.23.20026930, 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

16. "Development and Evaluation of an AI System for COVID-19 Diagnosis." medRxiv 2020.03.20.20039834, 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

17. "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

18. "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

19. "Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.03431

    V. Rajinikanth, Nilanjan Dey, Alex Noel Joseph Raj, Aboul Ella Hassanien, K.C. Santosh, N. Sri Madhava Raja

20. "COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.03747

    Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari

21. "Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.03698

    Umut Ozkaya, Saban Ozturk, Mucahid Barstugan

22. "Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.05645

    Xiaocong Chen, Lina Yao, Yu Zhang

23. "Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.06689

    Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang

24. "An automatic COVID-19 CT segmentation based on U-Net with attention mechanism." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.06673

    Tongxue Zhou, Stéphane Canu, Su Ruan

25. "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.14133
    Project: https://github.com/DengPingFan/Inf-Net

    Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao

26. "Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans." medRxiv, 2020.
    doi: https://doi.org/10.1101/2020.04.13.20063941

    Xuehai He, Xingyi Yang, Shanghang Zhang, Jinyu Zhao, Yichen Zhang, Eric Xing, Pengtao Xie

27. "JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.07054

    Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng

28. "Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients." arXiv, 2020
    arXiv: https://arxiv.org/abs/2004.07443

    Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken

29. "Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks." arXiv, 2020
    arXiv: https://arxiv.org/abs/2004.07407

    Aryan Mobiny, Pietro Antonio Cicalese, Samira Zare, Pengyu Yuan, Mohammadsajad Abavisani, Carol C. Wu, Jitesh Ahuja, Patricia M. de Groot, Hien Van Nguyen

30. "Machine Learning Analysis of Chest CT Scan Images as a Complementary Digital Test of Coronavirus (COVID-19) Patients." medRxiv 2020.04.13.20063479, 2020.
    doi: https://doi.org/10.1101/2020.04.13.20063479

    Dhurgham Al-karawi, Shakir Al-Zaidi, Nisreen Polus, Sabah Jassim

31. "Diagnosis and Prediction Model for COVID19 Patients Response to Treatment based on Convolutional Neural Networks and Whale Optimization Algorithm Using CT Images." medRxiv 2020.04.16.20063990, 2020.
    doi: https://doi.org/10.1101/2020.04.16.20063990

    Sally M. ELGhamrawy, Abou Ellah Hassanien

32. "MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.09750

    Yu Qiu, Yun Liu, Jing Xu

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