Skip to content

omdxp/COVID19_imaging_AI_paper_list

BranchesTags
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

48 Commits
README.md
README.md
 
 

Repository files navigation

COVID-19 Imaging-based AI Research Collection

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: 2020/04/14 ---

Content:

  1. Survey and comments
  2. Datasets
  3. Imaging-based Clinical Papers
  4. AI-related Technical Papers
    1. CT-based methods:
    2. CXR-based 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 T-MI Special Issue on "Imaging-based Diagnosis of COVID-19"
    2. IEEE J-BHI Special Issue on "AI-driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic"
  7. COVID-19 World Dashboard:
    1. From: World Health Organization (WHO)
    2. From: Johns Hopkins University (JHU)

Survey and comments:

  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. "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

  3. "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

  4. "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.

  5. "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

  6. "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

  7. "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

  8. 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

Datasets:

  1. "COVID-19 image data collection." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2003.11597
    GitHub: 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
    GitHub: 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: A Survey on Public Medical Imaging Data Resources." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.04569

    Roman Kalkreuth, Paul Kaufmann

  11. "COVID-19 CT Lung and Infection Segmentation Dataset."
    doi: http://doi.org/10.5281/zenodo.3757476

    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

Imaging-based Clinical Papers:

  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

AI-related Technical Papers:

CT-based methods:

  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." preprint, 2020.
    pdf: http://dpfan.net/wp-content/uploads/2020TMISubmissionInfNet.pdf

    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

CXR-based methods:

  1. "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

  2. "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

  3. "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

  4. "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

  5. "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

  6. 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

  7. "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

  8. "Automatic X-ray COVID-19 Lung Image Classification System based on Multi-Level Thresholding and Support Vector Machine." medRxiv 2020.03.30.20047787, 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.

  9. "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

  10. "Classification of Coronavirus Images using Shrunken Features." medRxiv 2020.04.03.20048868, 2020.
    doi: https://doi.org/10.1101/2020.04.03.20048868

    Saban Ozturk, Umut Ozkaya, Mucahid Barstugan

  11. "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

  12. "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

  13. "COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.03042

    Xin Li, Dongxiao Zhu

  14. "Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.03399

    Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel

  15. "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

  16. "DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.04582

    Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan

  17. "Artificial intelligence applied on chest X-ray can aid in the diagnosis of COVID-19 infection: a first experience from Lombardy, Italy." medRxiv 2020.04.08.20040907, 2020.
    doi: https://doi.org/10.1101/2020.04.08.20040907

    Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi, Caterina Beatrice Monti, Christian Salvatore, Simone Schiaffino, Annalisa Polidori, Davide Gandola, Cristina Messa, Francesco Sardanelli

  18. "Can AI help in screening Viral and COVID-19 pneumonia?" arXiv, 2020.
    arXiv: https://arxiv.org/abs/2003.13145

    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

  19. "Deep Learning COVID-19 Features on CXR using Limited Training Data Sets." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.05758

    Yujin Oh, Sangjoon Park, Jong Chul Ye

  20. "Towards an Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images." arXiv, 2020.

    arXiv: https://arxiv.org/abs/2004.05717

    Eduardo Luz, Pedro Lopes Silva, Rodrigo Silva, Gladston Moreira

  21. "Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data." arXiv, 2020.

    arXiv: https://arxiv.org/abs/2004.05405

    Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto

  22. "COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.03042

    Xin Li, Chengyin Li, Dongxiao Zhu

  23. "COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.05835

    Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos N. Silla Jr., Yandre M. G. Costa

  24. "Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification." medRxiv 2020.04.11.20062091, 2020.
    doi: https://doi.org/10.1101/2020.04.11.20062091

    Jonathan Stubblefield, Mitchell Hervert, Jason Causey, Jake Qualls, Wei Dong, Lingrui Cai, Jennifer Fowler, Emily Bellis, Karl Walker, Jason H. Moore, Sara Nehring, Xiuzhen Huang

  25. "Classification of Coronavirus Images using Shrunken Features." medRxiv 2020.04.03.20048868, 2020.
    doi: https://doi.org/10.1101/2020.04.03.20048868

    Saban Ozturk, Umut Ozkaya, Mucahid Barstugan

  26. "Effectiveness Of Baseline And Post-Processed Chest X-Ray In Nonearly COVID-19 Patients." medRxiv 2020.04.16.20061044, 2020.
    https://doi.org/10.1101/2020.04.16.20061044

    Michele Gaeta, Giuseppe Cicero, Maria Adele Marino, Tommaso D'Angelo, Enrico Maria Mormina, Silvio Mazziotti, Alfredo Blandino, Giulio Siracusano, Aurelio La Corte, Massimo Chiappini, Giovanni Finocchio

  27. "Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers." medRxiv 2020.04.13.20063461, 2020.
    doi: https://doi.org/10.1101/2020.04.13.20063461

    Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J Sahayasheela, Himanshu Buckchash, Javed Imran, Narayanan Narayanan, Ganesh N Pandian, Balasubramanian Raman

  28. "A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.08052

    Mohammad Rahimzadeh, Abolfazl Attar

  29. "Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.08379

    Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani

  30. "COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2003.11055

    Ezz El-Din Hemdan, Marwa A. Shouman, Mohamed Esmail Karar

  31. "Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.09363

    Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi

  32. "Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.00338

    Ioannis D. Apostolopoulos, Sokratis Aznaouridis, Mpesiana Tzani

  33. "Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms." arXiv, 2020.
    arXiv: https://arxiv.org/abs/2004.00038

    Halgurd S. Maghdid, Aras T. Asaad, Kayhan Zrar Ghafoor, Ali Safaa Sadiq, Muhammad Khurram Khan

  34. "Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network." medRxiv 2020.03.30.20047456, 2020.
    doi: https://doi.org/10.1101/2020.03.30.20047456

    Asmaa Abbas, Mohammed Abdelsamea, Mohamed Gaber

If you find this repo helpful, please cite it as follows:

@misc{COVID19-AI-Collection,
howpublished = {\url{https://github.com/HzFu/COVID19_imaging_AI_paper_list}},   
title = {{COVID-19 Imaging-based AI Research Collection}},  
author = {Fu, Huazhu and Fan, Deng-Ping and Chen, Geng and Zhou, Tao}  
}

About

COVID-19 imaging-based AI paper collection

Resources

Readme
Activity

Stars

4 stars

Watchers

2 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published