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COVID-19 Imaging-based AI Research Collection[2020 Latest]

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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: 25/05/2021 ---

Caution: Preprints are preliminary reports of work that have not been certified by peer review. They should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Content:

<a href="#survey"> Survey and comments </a>
<a href="#dataset"> Datasets </a>
<a href="#clinical"> Imaging-based Clinical Papers </a>
<a href="#technical"> AI-related Technical Papers </a>
1. <a href="#technical_CT"> CT-based methods: </a>
2. <a href="#technical_CXR"> CXR-based methods: </a>
3. <a href="#technical_other"> Other imaging methods: </a>
See COVID-19 papers from:
1. arXiv
2. medRxiv and bioRxiv
3. RSNA
4. JAMA
5. NEJM
6. Science
7. PNAS
8. The Lancet
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"
4. Pattern Recognition: Special Issue on "Special Submission Stream on AI for Combating COVID-2019"
COVID-19 World Dashboard:
1. From: World Health Organization (WHO)
2. From: Johns Hopkins University (JHU)
COVID-19 Challenge:
1. COVID-19 Lung CT Lesion Segmentation Challenge - 2020 (COVID-19-20): Link

Survey and comments: <a id="survey" class="anchor" href="#survey" aria-hidden="true"></a>

"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
"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
"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
"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
"Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection." BMJ 2020; 369: m1328, 2020. medRxiv: https://doi.org/10.1101/2020.03.24.20041020 doi: https://doi.org/10.1136/bmj.m1328

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
"A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19." Applied Intelligence, 2020. doi: https://doi.org/10.1007/s10489-020-01770-9

Youssoufa Mohamadou, Aminou Halidoum, Pascalin Tiam Kapen
"Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature." Journal of Medical Internet Research, Vol 22, No 11 (2020): November. doi: http://dx.doi.org/10.2196/22280 medRxiv: https://doi.org/10.1101/2020.04.26.20080341

Davide Golinelli, Erik Boetto, Gherardo Carullo, Andrea Giovanni Nuzzolese, Maria Paola Landini, Maria Pia Fantini
"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
"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
"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
"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.
Mapping the landscape of artificial intelligence applications against COVID-19. arXiv, 2020. arXiv: https://arxiv.org/abs/2003.11336

Joseph Bullock, Alexandra (Sasha)Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz
"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
"Diagnostic performance of CT and its key signs for COVID-19: A systematic review and meta-analysis." medRxiv 2020.05.24.20111773, 2020. doi: https://doi.org/10.1101/2020.05.24.20111773

Xiuting Wu, Yuhui Zhong, Wanyue Qin, Zhenxi Zhang, and Kai Li
"A Review of Automatically Diagnosing COVID-19 based on Scanning Image." arXiv, 2020. doi: https://arxiv.org/abs/2006.05245

Delong Chen, Fan Liu, Zewen Li
"COVID19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis?" Preprints 2020, 2020060189. Preprints: https://www.preprints.org/manuscript/202006.0189/v1 Project: https://github.com/saeed-anwar/COVID19-Baselines

Muhammad Saqib, Saeed Anwar, Abbas Anwar, Lars Petersson, Nabin Sharma, Michael Blumenstein
"Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients." arXiv, 2020. arXiv: https://arxiv.org/abs/2007.15546

Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens
"Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review." arXiv, 2020. arXiv: https://arxiv.org/abs/2008.06388

Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H.F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
"Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review." arXiv, 2020. arXiv: https://arxiv.org/abs/2007.10785

Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi
"On the Role of Artificial Intelligence in Medical Imaging of COVID-19." medRxiv 2020.09.02.20187096, 2020. doi: https://doi.org/10.1101/2020.09.02.20187096

Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Pallav L Shah, Emmanouil Karteris, Jan Lukas Robertus, Maria Gabrani, Michal Rosen-Zvi
"Challenges of Deep Learning Methods for COVID-19 Detection Using Public Datasets." medRxiv 2020.11.07.20227504, 2020. doi: https://doi.org/10.1101/2020.11.07.20227504

Md. Kamrul Hasan, Md. Ashraful Alam, Lavsen Dahal, Md. Toufick E Elahi, Shidhartho Roy, Sifat Redwan Wahid, Robert Marti, Bishesh Khanal
"Artificial Intelligence for COVID-19 Detection -- A state-of-the-art review." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.06310

Parsa Sarosh, Shabir A. Parah, Romany F Mansur, G. M. Bhat
"Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.07655

Walid Hariri, Ali Narin
"Do not repeat these mistakes -- a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.08333

Weronika Hryniewska, Przemysław Bombiński, Patryk Szatkowski, Paulina Tomaszewska, Przemysław Biecek
"Deep Learning in Detection and Diagnosis of Covid-19 using Radiology Modalities: A Systematic Review." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.11577

Mustafa Ghaderzadeh, Farkhondeh Asadi
"Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.14106

Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder C. R. Oliveira, Svetlana Yanushkevich, Konstantinos N. Plataniotis
"Intelligent Pneumonia Identification from Chest X-Rays: A Systematic Literature Review." medRxiv 2020.07.09.20150342, 2020. doi: https://doi.org/10.1101/2020.07.09.20150342

Wasif Khan, Nazar Zaki, Luqman Ali
"Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem." medRxiv 2021.02.15.21251775, 2021. doi: https://doi.org/10.1101/2021.02.15.21251775

Beatriz Garcia Santa Cruz, Matias Nicolas Bossa, Jan Soelter, Andreas Domink Husch

Datasets: <a id="dataset" class="anchor" href="#dataset" aria-hidden="true"></a>

"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
"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
"COVID-19 Patients Lungs X Ray Images 10000." Kaggle: https://www.kaggle.com/nabeelsajid917/covid-19-x-ray-10000-images
"COVID-19 Radiography Database." Kaggle: https://www.kaggle.com/tawsifurrahman/covid19-radiography-database
"COVID-19 Xray Dataset (Train & Test Sets)." Kaggle: https://www.kaggle.com/khoongweihao/covid19-xray-dataset-train-test-sets
"COVID-19 CT segmentation dataset" Link: https://medicalsegmentation.com/covid19/
"Fighting Covid-19 Challenge - A platform for open research on large Covid-19 imaging datasets" Link: https://www.covid19challenge.eu
"COVID-19: CASISTICA RADIOLOGICA ITALIANA" Link: https://www.sirm.org/category/senza-categoria/covid-19/
"Radiopaedia: COVID-19" Link: https://radiopaedia.org/articles/covid-19-3
"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
"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
"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
"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
"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
"BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients." arXiv, 2020. arXiv: https://arxiv.org/abs/2006.01174 web: http://bimcv.cipf.es/bimcv-projects/bimcv-covid19/

Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco Garcia, Marisa Caparrós, Germán González, Jose María Salinas
"COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature." arXiv, 2020. arXiv: https://arxiv.org/abs/2006.06177

Yifan Peng, Yu-Xing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
"Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications." arXiv, 2020. arXiv: https://arxiv.org/abs/2006.13262

Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jeong, Hari Trivedi, Judy W. Gichoya
"Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset." arXiv, 2020. arXiv: https://arxiv.org/abs/2007.12525

Md Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam, Sajib Sen, Md. Lutfar Rahman, Mohammad Shakhawat Hossain

Imaging-based Clinical Papers: <a id="clinical" class="anchor" href="#clinical" aria-hidden="true"></a>

"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"How Might AI and Chest Imaging Help Unravel COVID-19’s Mysteries?" Radiology: Artificial Intelligence, 2020, 2:3. doi: https://doi.org/10.1148/ryai.2020200053

Shinjini Kundu, Hesham Elhalawani, Judy W. Gichoya, and Charles E. Kahn, Jr
"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
"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
"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
"Diagnostic power of chest CT for COVID-19: to screen or not to screen." medRxiv 2020.05.18.20097444, 2020. doi: https://doi.org/10.1101/2020.05.18.20097444

Kristof Smet, Dieter De Smet, Ingel Demedts, Bernard Bouckaert, Thomas Ryckaert, Emanuel Laridon, Birgit Heremans, Ruben Vandenbulcke, Stefaan Gryspeerdt, Geert Antoine Martens
"Coronavirus Disease 2019 (COVID-19) Candidate Chest CT Features: A Systematic Review of Extracted Imaging Features from 7571 Individuals." medRxiv 2020.11.03.20225326, 2020. doi: https://doi.org/10.1101/2020.11.03.20225326

Javad Zahiri, Mohammad Hossein Afsharinia, Zhaleh Hekmati, Mohsen Khodarahmi, Shahrzad Hekmati, Ramin Pourghorban

AI-related Technical Papers: <a id="technical" class="anchor" href="#technical" aria-hidden="true"></a>

CT-based methods: <a id="technical_CT" class="anchor" href="#technical_CT" aria-hidden="true"></a>

"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
"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
"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
"Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements and Prognosis of COVID-19 Pneumonia Using Computed Tomography." Cell, 2020. doi: https://doi.org/10.1016/j.cell.2020.04.045 dataset: http://ncov-ai.big.ac.cn/download?lang=en

Kang Zhang, Xiaohong Liu, Jun Shen, Zhihuan Li, Ye Sang, Xingwang Wu, Yunfei Cha, Wenhua Liang, Chengdi Wang, Ke Wang, Linsen Ye, Ming Gao, Zhongguo Zhou, Liang Li, Jin Wang, Zhizhong Yang, Huimin Cai, Jie Xu, Lei Yang, Wenjia Cai, Wenqin Xu, Shaoxu Wu, Wei Zhang, Shanping Jiang, Lianghong Zheng, Xuan Zhang, Li Wang, Liu Lu, Jiaming Li, Haiying Wu, Winston Wang, Oulan Li, Charlotte Zhang, Liang Liang, Tao Wu, Ruiyun Deng, Kang Wei, Yong Zhou, Ting Chen, Johnson Yiu-Nam Lau, Manson Fok, Jianxing He, Tianxin Lin, Weimin Li, Guangyu Wang
"AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT." Radiology, 2020. doi: https://doi.org/10.1148/radiol.2020201491

Harrison X. Bai, Robin Wang, Zeng Xiong, Ben Hsieh, Ken Chang, Kasey Halsey, Thi My Linh Tran, Ji Whae Choi, Dong-Cui Wang, Lin-Bo Shi, Ji Mei, Xiao-Long Jiang, Ian Pan, Qiu-Hua Zeng, Ping-Feng Hu, Yi-Hui Li, Fei-Xian Fu, Raymond Y. Huang, Ronnie Sebro, Qi-Zhi Yu, Michael K. Atalay, and Wei-Hua Liao
"Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks." Computers in Biology and Medicine, 2020. doi: https://doi.org/10.1016/j.compbiomed.2020.103795

Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi
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Mehdi Yousefzadeh, Parsa Esfahanian, Seyed Mohammad Sadegh Movahed, Saeid Gorgin, Reza Lashgari, Dara Rahmati, Arda Kiani, Shahram Kahkouee, Seyed Alireza Nadji, Sara Haseli, Meisam Hoseinyazdi, Jafar Roshandel, Negar Bandegani, Abbas Danesh, Mehrdad Bakhshayesh Karam, Atefeh Abedini
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Anmol Warman, Pranav Warman, Ayushman Sharma, Puja Parikh, Roshan Warman, Narayan Viswanadhan, Lu Chen, Subhra Mohapatra, Shyam Mohapatra, Guillermo Sapiro
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Kristof De Smet, Dieter De Smet, Ingel Demedts, Bernard Bouckaert, Thomas Ryckaert, Emanuel Laridon, Birgit Heremans, Ruben Vandenbulcke, Stefaan Gryspeerdt, Geert Antoine Martens
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Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
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Keegan Lensink, Issam Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou. William Parker, Eldad Haber
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Dominik Müller, Iñaki Soto Rey, Frank Kramer
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Issam Laradji, Pau Rodriguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahrai
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Vruddhi Shah, Rinkal Keniya, Akanksha Shridharani, Manav Punjabi, Jainam Shah, Ninad Mehendale
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Issam Laradji, Pau Rodriguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vazquez, Derek Nowrouzezahrai
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Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka
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Yifan Jiang, Han Chen, Murray Loew, Hanseok Ko
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Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M.Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan
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Youzhen Feng, Sidong Liu, Zhongyuan Cheng, Juan Quiroz, Data Rezazadegan, Pingkang Chen, Qiting Lin, Long Qian, Xiaofang Liu, Shlomo Berkovsky, Enrico Coiera, Lei Song, Xiaoming Qiu, Xiangran Cai
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Chirag Goel, Abhimanyu Kumar, Satish Kumar Dubey, Vishal Srivastava
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Eduardo Mortani Barbosa Jr., Warren B. Gefter, Rochelle Yang, Florin C. Ghesu, Siqi Liu, Boris Mailhe, Awais Mansoor, Sasa Grbic, Sebastian Piat, Guillaume Chabin, Vishwanath R S., Abishek Balachandran, Sebastian Vogt, Valentin Ziebandt, Steffen Kappler, Dorin Comaniciu
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Muhammad Aleem, Rahul Raj, Arshad Khan
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Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht, Jianwei Qiu, Peter Tu
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Mohammad Rahimzadeh, Abolfazl Attar, Seyed Mohammad Sakhaei
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Stephen S.F. Yip, Zan Klanecek, Shotaro Naganawa, John Kim, Andrej Studen, Luciano Rivetti, Robert Jeraj
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Hayden Gunraj, Linda Wang, Alexander Wong
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Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka
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Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou
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Saddam Hussain Khan, Anabia Sohail, Asifullah Khan, Yeon Soo Lee
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Alejandro R. Martinez
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Duy M. H. Nguyen, Duy M. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag
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Shixuan Zhao, Yongjie Li, Zhidan Li, Yang Chen, Wei Zhao, Xie Xingzhi, Jun Liu, Di Zhao
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Josimar Chire, Esteban Wilfredo Vilca Zuniga
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Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi
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Aram Ter-Sarkisov
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Zhanwei Xu, Yukun Cao, Cheng Jin, Guozhu Shao, Xiaoqing Liu, Jie Zhou, Heshui Shi, Jianjiang Feng
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Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan
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Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Anastasia Oikonomou, S. Farokh Atashzar, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi, Moezedin Javad Rafiee
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Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani
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Aram Ter-Sarkisov
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Hammam Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz
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Aram Ter-Sarkisov
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Song Ying, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Huiying Zhao, Ruixuan Wang, Yutian Chong, Jun Shen, Yunfei Zha, Yuedong Yang
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Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, Jong Geol Jang, Jongsoo Park, Kyeong-Cheol Shin, June Hong Ahn, Sang Hyun Park
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Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung
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Zehor Belkhatir, Raul San Jose Estepar, Allen R Tannenbaum
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Khalfalla Awedat, Almabrok Essa
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Narinder Singh Punn, Sonali Agarwal
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Maryam Dialameh, Ali Hamzeh, Hossein Rahmani, Amir Reza Radmard, Safoura Dialameh
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Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schininà, Simone Palazzo, Francesco Rundo, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci
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Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan M. Gorriz, Sadiq Hussain, Juan E. Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U Rajendra Acharya
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Fouzia Altaf, Syed M.S. Islam, Naeem K. Janjua, Naveed Akhtar
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Aram Ter-Sarkisov
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Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding
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Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka
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Xin He, Shihao Wang, Guohao Ying, Jiyong Zhang, Xiaowen Chu
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Hammam Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz
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Jun Shi, Huite Yi, Xiaoyu Hao, Hong An, Wei Wei
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Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi
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Sara Atito Ali Ahmed, Mehmet Can Yavuz, Mehmet Umut Sen, Fatih Gulsen, Onur Tutar, Bora Korkmazer, Cesur Samanci, Sabri Sirolu, Rauf Hamid, Ali Ergun Eryurekli, Toghrul Mammadov, Berrin Yanikoglu
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Prerak Mann, Sahaj Jain, Saurabh Mittal, Aruna Bhat

CXR-based methods: <a id="technical_CXR" class="anchor" href="#technical_CXR" aria-hidden="true"></a>

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Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi
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Mohamed Loey, Florentin Smarandache, Nour Eldeen M. Khalifa
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Nour Eldeen M. Khalifa, Florentin Smarandache, Gunasekaran Manogaran, Mohamed Loey
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Linda Wang, Alexander Wong
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Ali Narin, Ceren Kaya, Ziynet Pamuk
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Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
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Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia
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Biraja Ghoshal, Allan Tucker
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Muhammad Farooq, Abdul Hafeez
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Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Sally Elghamrawy
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Aboul Ella Hassanien Sr., Lamia Nabil Mahdy Jr., Kadry Ali Ezzat Jr., Haytham H. Elmousalami Jr., Hassan Aboul Ella Jr.
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Ioannis D. Apostolopoulos, Tzani Bessiana
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Saban Ozturk, Umut Ozkaya, Mucahid Barstugan
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Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof
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Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
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Xin Li, Dongxiao Zhu
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Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel
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Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari
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Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan
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Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi, Caterina Beatrice Monti, Christian Salvatore, Simone Schiaffino, Annalisa Polidori, Davide Gandola, Cristina Messa, Francesco Sardanelli
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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
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Eduardo Luz, Pedro Lopes Silva, Rodrigo Silva, Gladston Moreira
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Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto
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Xin Li, Chengyin Li, Dongxiao Zhu
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Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos N. Silla Jr., Yandre M. G. Costa
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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
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Saban Ozturk, Umut Ozkaya, Mucahid Barstugan
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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
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Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina
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Germán González, Aurelia Bustos, José María Salinas, María de la Iglesia-Vaya, Joaquín Galant, Carlos Cano-Espinosa, Xavier Barber, Domingo Orozco-Beltrán, Miguel Cazorla, Antonio Pertusa
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Mahesh Gour, Sweta Jain
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Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna
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Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan
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Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzębski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
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Edward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain
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Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal
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Saul Calderon-Ramirez, Shengxiang-Yang, Armaghan Moemeni, David Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
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Andrio Adwibowo
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Terry Gao
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Sifat Ahmed, Tonmoy Hossain, Oishee Bintey Hoque, Sujan Sarker, Sejuti Rahman, Faisal Muhammad Shah
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Andrew C. Li, David T. Lee, Kristoff K. Misquitta, Kaiji Uno, Sasha Wald
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Asmaa Abbas, Mohammed Abdelsamea, Mohamed Gaber
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Hussin K. Ragb, Ian T. Dover, Redha Ali
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Nihad Karim Chowdhury, Md. Muhtadir Rahman, Noortaz Rezoana, Muhammad Ashad Kabir
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Sumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris
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Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manas Saha, Tanmoy Debnath, D.M. Motiur Rahaman
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Young-Gon Kim, Kyungsang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li
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Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad E. H. Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj
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Angelica I Aviles-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
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Mahbubunnabi Tamal, Maha Alshammari, Meernah Alabdullah, Rana Hourani, Hossain Abu Alola, Tarek M. Hegazi
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Elisha Goldstein, Daphna Keidar, Daniel Yaron, Yair Shachar, Ayelet Blass, Leonid Charbinsky, Israel Aharony, Liza Lifshitz, Dimitri Lumelsky, Ziv Neeman, Matti Mizrachi, Majd Hajouj, Nethanel Eizenbach, Eyal Sela, Chedva Weiss, Philip Levin, Ofer Benjaminov, Gil N Bachar, Shlomit Tamir, Yael Rapson, Dror Suhami, amiel a dror, Naama Bogot, Ahuva Grubstein, Nogah Shabsin, Yishai M Elyada, Yonina Eldar
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Lalith Bharadwaj B, Rohit Boddeda, Sai Vardhan K, Sai Mohan G, Sai Deepak V, Shilhora Akshay Patel
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Saman Motamed, Patrik Rogalla, Farzad Khalvati
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Kiran Purohit, Abhishek Kesarwani, Dakshina Ranjan Kisku, Mamata Dalui
"Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis." arXiv, 2020. arXiv: https://arxiv.org/abs/2010.13271

Gayathiri Murugamoorthy, Naimul Khan
"Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray." arXiv, 2020. aeXiv: https://arxiv.org/abs/2010.14091

Jianjia Zhang
"Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays." medRxiv 2020.10.20.20213793, 2020. doi: https://doi.org/10.1101/2020.10.20.20213793

Prashant Sadashiv Gidde, Shyam Sunder Prasad, Ajay Pratap Singh, Nitin Bhatheja, Satyartha Prakash, Prateek Singh, Aakash Saboo, Rohit Thakar, Salil Gupta, Sumeet Saurav, M V Raghunandanan, Amritpal Singh, Viren Sardana, Harsh Mahajan, Arjun Kalyanpur, Atanendu Shekhar Mandal, Vidur Mahajan, Anurag Agrawal, Anjali Agrawal, Vasantha Kumar Venugopal, Sanjay Singh, Debasis Dash
"Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation." arXiv, 2020. arXiv: https://arxiv.org/abs/2010.10266

Hasib Zunair, A. Ben Hamza
"FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection." arXiv, 2020. arXiv: https://arxiv.org/abs/2010.16039

Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
"Transfer learning to detect COVID-19 automatically from X-ray images, using convolutional neural networks." medRxiv 2020.08.25.20182170, 2020. doi: https://doi.org/10.1101/2020.08.25.20182170

Mundher Taresh Sr., Ningbo Zhu Sr., Talal Ahmed Ali Ali Sr.
"Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19." arXiv, 2020. arXiv: https://arxiv.org/abs/2011.05186

Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K S Shriram, Utkarsh Agrawal, Laszlo Rusko, Zita Herczeg, Barbara Darazs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash
"Automated covid-19 detection from frontal Chest X-Ray images using Deep Learning: an online feasibility study." medRxiv 2020.07.16.20155093, 2020. doi: https://doi.org/10.1101/2020.07.16.20155093

Xavier P. Burgos-Artizzu
"Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets." arXiv, 2020. arXiv: https://arxiv.org/abs/2011.08528

Hamza Osman Ilhan, Gorkem Serbes, Nizamettin Aydin
"Automatic COVID-19 Detection from chest radiographic images using Convolutional Neural Network." medRxiv 2020.11.08.20228080, 2020. doi: https://doi.org/10.1101/2020.11.08.20228080

Sohaib Asif, Kamran Amjad
"Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.02238

Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al Maadeed, Susu M Zughaier, Muhammad Salman Khan, Muhammad E. H. Chowdhury
"Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.02278

Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun
"Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.03663

Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyungsang Kim, Younggon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li
"AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.06531

Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gian Paolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa
"Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.10787

Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan
"LungAI: A Deep Learning Convolutional Neural Network for Automated Detection of COVID-19 from Posteroanterior Chest X-Rays." medRxiv 2020.12.19.20248530, 2020. doi: https://doi.org/10.1101/2020.12.19.20248530

Aryan Gulati
"COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.13605

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb
"COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction." arXiv, 2020. arXiv: https://arxiv.org/abs/2101.04909

Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
"Artificial Intelligence–assisted chest X-ray assessment scheme for COVID-19." European Radiology, 2021. doi: https://doi.org/10.1007/s00330-020-07628-5

Krithika Rangarajan, Sumanyu Muku, Amit Kumar Garg, Pavan Gabra, Sujay Halkur Shankar, Neeraj Nischal, Kapil Dev Soni, Ashu Seith Bhalla, Anant Mohan, Pawan Tiwari, Sushma Bhatnagar, Raghav Bansal, Atin Kumar, Shivanand Gamanagati, Richa Aggarwal, Upendra Baitha, Ashutosh Biswas, Arvind Kumar, Pankaj Jorwal, Shalimar, A. Shariff, Naveet Wig, Rajeshwari Subramanium, Anjan Trikha, Rajesh Malhotra, Randeep Guleria, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora
"Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images." arXiv, 2021. arXiv: https://arxiv.org/abs/2102.06535

Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, Waleed M. Mohamed
"Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement." medRxiv 2021.02.11.20196766, 2021. doi: https://doi.org/10.1101/2021.02.11.20196766

Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W. Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M Lavista Ferres
"Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint." arXiv, 2021. arXiv: https://arxiv.org/abs/2102.08360

Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan Turaga
"Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images." arXiv, 2021. arXiv: https://arxiv.org/abs/2102.07975

Kartikeya Badola, Sameer Ambekar, Himanshu Pant, Sumit Soman, Anuradha Sural, Rajiv Narang, Suresh Chandra, Jayadeva
"Semi-supervised Learning for COVID-19 Image Classification via ResNet." arXiv, 2021. arXiv: https://arxiv.org/abs/2103.06140

Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
"Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients." IEEE Access, 2021. doi: https://doi.org/10.1109/ACCESS.2021.3065456

O. D. T. Catalá, I. S. Igual, F. J. Pérez-Benito, D. M. Escrivá, V. O. Castelló, R. Llobet, J. -C. {Peréz-Cortés}
"Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features." arXiv, 2021. arXiv: https://arxiv.org/abs/2104.00411

Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab
"COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images." arXiv, 2021. arXiv: https://arxiv.org/abs/2105.06640

Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, and Alexander Wong
"COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs." arXiv, 2021. arXiv: https://arxiv.org/abs/2105.08147

Vignav Ramesh, Blaine Rister, Daniel L. Rubin
"Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images." arXiv, 2021. arXiv: https://arxiv.org/abs/2105.08199

Safa Ben Atitallah, Maha Driss, Wadii Boulila, Henda Ben Ghézala
"UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection." arXiv, 2021. arXiv: https://arxiv.org/abs/2105.08590

Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi

Other imaging methods: <a id="technical_other" class="anchor" href="#technical_other" aria-hidden="true"></a>

"Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound." in IEEE Transactions on Medical Imaging, 2020. doi: https://doi.org/10.1109/TMI.2020.2994459

Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J.G. Van Sloun, Elisa Ricci, Libertario Demi
"Line Artefact Quantification in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularisation." arXiv, 2020. arXiv: https://arxiv.org/abs/2005.03080

Oktay Karakuş, Nantheera Anantrasirichai, Amazigh Aguersif, Stein Silva, Adrian Basarab, Alin Achim
"Correlation Between Chest Computed Tomography And Lung Ultrasonography In Patients With Coronavirus Disease 2019 (COVID-19)." medRxiv 2020.05.08.20095117, 2020. doi: https://doi.org/10.1101/2020.05.08.20095117

Yale Tung Chen, Milagros Marti de Gracia, Aurea DiezTascon, Sergio Agudo-Fernandez, Rodrigo Alonso-Gonzalez, Pablo Rodriguez Fuertes, Luz Parra-Gordo, Silvia Ossaba-Velez, Rafael Llamas Fuentes
"Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19." preprint, 2020. doi: https://doi.org/10.13140/RG.2.2.13881.39526

Karim Hammoudi, Adnane Cabani, Halim Benhabiles, Mahmoud Melkemi
"Multifocal transient cortical brain lesions: a consistent MRI finding in neuro-COVID-19 patients." medRxiv 2020.05.19.20103168, 2020. doi: https://doi.org/10.1101/2020.05.19.20103168

Nicoletta Anzalone, Antonella Castellano, Roberta Scotti, Anna Mara Scandroglio, Massimo Filippi, Fabio Ciceri, Moreno Tresoldi, Andrea Falini
"MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19." arXiv, 2020. arXiv: https://arxiv.org/abs/2008.08016 dataset: https://github.com/cabani/MaskedFace-Net

Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi
"A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools." arXiv, 2020. arXiv: https://arxiv.org/abs/2009.03184

Yanwei Fu, Feng Li, Wenxuan Wang, Haicheng Tang, Xuelin Qian, Mengwei Gu, Xiangyang Xue
"Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis." arXiv, 2020. arXiv: https://arxiv.org/abs/2009.06116

Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten Borgwardt
"Ultrasound Diagnosis of COVID-19: Robustness and Explainability." arXiv, 2020. arXiv: https://arxiv.org/abs/2012.01145

Jay Roberts, Theodoros Tsiligkaridis
"A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic." Measurement, Volume 167, 1 January 2021, 108288. doi: https://doi.org/10.1016/j.measurement.2020.108288

Mohamed Loey, Gunasekaran Manogaran, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa
"A deep learning model and machine learning methods for the classification of potential coronavirus treatments on a single human cell." Journal of Nanoparticle Research, 2020. doi: https://doi.org/10.1007/s11051-020-05041-z

Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Gunasekaran Manogaran, Mohamed Loey
"Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection." Sustainable Cities and Society, 2021. doi: https://doi.org/10.1016/j.scs.2020.102600

Mohamed Loey, Gunasekaran Manogaran, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa

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COVID-19 Imaging-based AI Research Collection[2020 Latest]

Content:

Survey and comments: <a id="survey" class="anchor" href="#survey" aria-hidden="true"><span class="octicon octicon-link"></span></a>

Datasets: <a id="dataset" class="anchor" href="#dataset" aria-hidden="true"><span class="octicon octicon-link"></span></a>

Imaging-based Clinical Papers: <a id="clinical" class="anchor" href="#clinical" aria-hidden="true"><span class="octicon octicon-link"></span></a>

AI-related Technical Papers: <a id="technical" class="anchor" href="#technical" aria-hidden="true"><span class="octicon octicon-link"></span></a>

CT-based methods: <a id="technical_CT" class="anchor" href="#technical_CT" aria-hidden="true"><span class="octicon octicon-link"></span></a>

CXR-based methods: <a id="technical_CXR" class="anchor" href="#technical_CXR" aria-hidden="true"><span class="octicon octicon-link"></span></a>

Other imaging methods: <a id="technical_other" class="anchor" href="#technical_other" aria-hidden="true"><span class="octicon octicon-link"></span></a>