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The sudden outbreak and uncontrolled spread of COVID-19 disease is one of the most important global problems today.
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration
Alessandro Liberati, Douglas G. Altman, Jennifer Tetzlaff, Cynthia Mulrow, Peter C. Gøtzsche, John P.A. Ioannidis, Mike Clarke, P. J. Devereaux, Jos Kleijnen, and David Moher · 2009
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Automated breast cancer detection and classification using ultrasound images: A survey
H. D. Cheng, Juan Shan, Wen Ju, Yanhui Guo, and Ling Zhang · 2010
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The Checklist Manifesto: How to Get Things Right
Atul Gawande · 2011
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CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, and Andrew Y. Ng · 2017
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Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data
S. Jaiswal, M. F. Valstar, A. Gillott, and D. Daley · 2017
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Modality-bridge Transfer Learning for Medical Image Classification
Hak Gu Kim, Yeoreum Choi, and Yong Man Ro · 2017
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What do we need to build explainable AI systems for the medical domain?
Andreas Holzinger, Chris Biemann, Constantinos S. Pattichis, and Douglas B. Kell · 2017
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Wojciech Samek, Thomas Wiegand, and Klaus-Robert Müller · 2017
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Deep learning for image-based cancer detection and diagnosis - A survey
Zilong Hu, Jinshan Tang, Ziming Wang, Kai Zhang, Lin Zhang, and Qingling Sun · 2018
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Image quality affects deep learning reconstruction of MRI
Haris Jeelani, Jonathan Martin, Francis Vasquez, Michael Salerno, and Daniel S. Weller · 2018
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin · 2018
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Cats or CAT scans: transfer learning from natural or medical image source datasets?
Veronika Cheplygina · 2018
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Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images
Yunyun Yang, Wenjing Jia, and Yunna Yang · 2019
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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Y. Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia, and Andrew Y. Ng · 2019
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An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Giovanni Lucca França da Silva, Aristófanes Corrêa Silva, and Anselmo Cardoso de Paiva · 2019
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Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing
Xingzhi Xie, Zheng Zhong, Wei Zhao, Chao Zheng, Fei Wang, and Jun Liu · 2020
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Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
Yicheng Fang, Huangqi Zhang, Jicheng Xie, Minjie Lin, Lingjun Ying, Peipei Pang, and Wenbin Ji · 2020
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Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
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 Wai-Hin Chung, Elaine Yuen Phin Lee, Eric Yuk Fai Wan, Ivan Fan Ngai Hung, Tina Poy Wing Lam, Michael D. Kuo, and Ming-Yen Ng · 2020
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Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Victor M. Corman, Olfert Landt, Marco Kaiser, Richard Molenkamp, Adam Meijer, Daniel K.W. Chu, Tobias Bleicker, Sebastian Brünink, Julia Schneider, Marie Luisa Schmidt, Daphne G.J.C. Mulders, Bart L. Haagmans, Bas Van Der Veer, Sharon Van Den Brink, Lisa Wijsman, Gabriel Goderski, Jean Louis Romette, Joanna Ellis, Maria Zambon, Malik Peiris, Herman Goossens, Chantal Reusken, Marion P.G. Koopmans, and Christian Drosten · 2020
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Coronavirus disease 2019 (COVID-19): Role of chest CT in diagnosis and management
Yan Li and Liming Xia · 2020
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Chest Imaging Appearance of COVID-19 Infection
Weifang Kong and Prachi P. Agarwal · 2020
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Sensitivity of chest CT for COVID-19: Comparison to RT-PCR
Yicheng Fang, Huangqi Zhang, Jicheng Xie, Minjie Lin, Lingjun Ying, Peipei Pang, and Wenbin Ji · 2020
Cited alongside, same era.
CT imaging features of 2019 novel coronavirus (2019-NCoV)
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 · 2020
Cited alongside, same era.
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT
Harrison X. Bai, Ben Hsieh, Zeng Xiong, Kasey Halsey, Ji Whae Choi, Thi My Linh Tran, Ian Pan, Lin Bo Shi, Dong Cui Wang, Ji Mei, Xiao Long Jiang, Qiu Hua Zeng, Thomas K. Egglin, Ping Feng Hu, Saurabh Agarwal, Fang Fang Xie, Sha Li, Terrance Healey, Michael K. Atalay, and Wei Hua Liao · 2020
Cited alongside, same era.
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
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 Wai Hin Chung, Elaine Yuen Phin Lee, Eric Yuk Fai Wan, Ivan Fan Ngai Hung, Tina Poy Wing Lam, Michael D. Kuo, and Ming Yen Ng · 2020
Cited alongside, same era.
Explainable-By-Design Approach For Covid-19 Classification Via CT-Scan
Plamen P Angelov and Eduardo A Soares · 2020
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Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, and Andreas Nürnberger · 2020
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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, and Tim Q Duong · 2020
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Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Biraja Ghoshal and Allan Tucker · 2020
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Rapid AI Development Cycle for the Coronavirus ( COVID-19 ) Pandemic : Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
Ophir Gozes, Ma Frid, Hayit Greenspan, and D Patrick · 2020
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The Battle Against Coronavirus Disease 2019 (COVID-19): Emergency Management and Infection Control in a Radiology Department
Zixing Huang, Shuang Zhao, Zhenlin Li, Weixia Chen, Lihong Zhao, Lipeng Deng, and Bin Song · 2020
Cited alongside, same era.
Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
Chunqin Long, Huaxiang Xu, Qinglin Shen, Xianghai Zhang, Bing Fan, Chuanhong Wang, Bingliang Zeng, Zicong Li, Xiaofen Li, and Honglu Li · 2020
Cited alongside, same era.
Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
Adam Jacobi, Michael Chung, Adam Bernheim, and Corey Eber · 2020
Cited alongside, same era.
SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network
Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios, and Costas N. Papanicolas · 2020
Cited alongside, same era.
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, and Antonella Santone · 2020
Cited alongside, same era.
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
Z. Han, B. Wei, Y. Hong, T. Li, J. Cong, X. Zhu, H. Wei, and W. Zhang · 2020
Cited alongside, same era.
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images
M. R. Karim, T. Döhmen, M. Cochez, O. Beyan, D. Rebholz-Schuhmann, and S. Decker · 2020
Cited alongside, same era.
A deep learning interpretable model for novel coronavirus disease (COVID-19) screening with chest CT images
Eri Matsuyama · 2020
Cited alongside, same era.
Closest in time.
COVIDPEN: A Novel COVID-19 Detection Model using Chest X-Rays and CT Scans
Amit Kumar Jaiswal, Prayag Tiwari, Vipin Kumar Rathi, Jia Qian, Hari Mohan Pandey, and Victor Hugo C Albuquerque · 2020
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CoroNet: A Deep Network Architecture for Semi-Supervised Task-Based Identification of COVID-19 from Chest X-ray Images
Shahin Khobahi, Chirag Agarwal, and Mojtaba Soltanalian · 2020
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COVID-DenseNet: A deep learning architecture to detect COVID-19 from chest radiology images
Laboni Sarker, Mohaiminul Islam, Tanveer Hannan, Ahmed Zakaria, Zakaria Ahmed, and Ahmed Zakaria · 2020
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COVID-19 detection using Residual Attention Network an Artificial Intelligence approach
Vishal Sharma and Curtis Dyreson · 2020
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End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays
Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, and Davide Farina · 2020
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AIDCOV: An Interpretable Artificial Intelligence Model for Detection of COVID-19 from Chest Radiography Images
Maryam Zokaeinikoo, Prasenjit Mitra, Soundar Kumara, and Pooyan Kazemian · 2020
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Chest radiographic and ct findings of the 2019 novel coronavirus disease (Covid-19): Analysis of nine patients treated in Korea
Soon Ho Yoon, Kyung Hee Lee, Jin Yong Kim, Young Kyung Lee, Hongseok Ko, Ki Hwan Kim, Chang Min Park, and Yun Hyeon Kim · 2020
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Pediatric Interstitial (Diffuse) Lung Disease
Edward Y. Lee · 2020
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Prediction models for diagnosis and prognosis of covid-19 infection: Systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Marc M.J. Bonten, Gary S. Collins, Thomas P.A. Debray, Maarten De Vos, Maria C. Haller, Georg Heinze, Karel G.M. Moons, Richard D. Riley, Ewoud Schuit, Luc J.M. Smits, Kym I.E. Snell, Ewout W. Steyerberg, Christine Wallisch, and Maarten Van Smeden · 2020
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Systematic review of artificial intelligence techniques in the detection and classification of covid-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects
O.S. Albahri, A.A. Zaidan, A.S. Albahri, B.B. Zaidan, Karrar Hameed Abdulkareem, Z.T. Al-qaysi, A.H. Alamoodi, A.M. Aleesa, M.A. Chyad, R.M. Alesa, L.C. Kem, Muhammad Modi Lakulu, A.B. Ibrahim, and Nazre Abdul Rashid · 2020
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ERASER: A benchmark to evaluate rationalized NLP models
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, and Byron C. Wallace · 2020
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Automatic medical image interpretation: State of the art and future directions
Hareem Ayesha, Sajid Iqbal, Mehreen Tariq, Muhammad Abrar, Muhammad Sanaullah, Ishaq Abbas, Amjad Rehman, Muhammad Farooq Khan Niazi, and Shafiq Hussain · 2021
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Explainable skin lesion diagnosis using taxonomies
Catarina Barata, M. Emre Celebi, and Jorge S. Marques · 2021
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JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Y. H. Wu, S. H. Gao, J. Mei, J. Xu, D. P. Fan, R. G. Zhang, and M. M. Cheng · 2021
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Explanatory Model Analysis
Przemyslaw Biecek and Tomasz Burzykowski · 2021
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