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The Corona Virus (COVID-19) is an internationalpandemic that has quickly propagated throughout the world.
Global trends in emerging infectious diseases
Kate E Jones, Nikkita G Patel, Marc A Levy, Adam Storeygard, Deborah Balk, John L Gittleman, and Peter Daszak · 2008
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The training and practice of radiology in India: current trends
Richa Arora · 2014
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Assessment of the availability of technology for trauma care in india
Mihir Tejanshu Shah, Manjul Joshipura, Jered Singleton, Paul LaBarre, Hem Desai, Eliza Sharma, and Charles Mock · 2015
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Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen and Harri Valpola · 2017
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Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M Summers · 2017
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
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Identifying medical diagnoses and treatable diseases by image-based deep learning
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina CS Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan, et al · 2018
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Realistic evaluation of deep semi-supervised learning algorithms
Avital Oliver, Augustus Odena, Colin A Raffel, Ekin Dogus Cubuk, and Ian Goodfellow · 2018
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Leslie N Smith · 2018
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Mixmatch: A holistic approach to semi-supervised learning
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, and Colin A Raffel · 2019
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Padchest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria de la Iglesia-Vayá · 2019
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Causability and explainability of artificial intelligence in medicine
Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, and Heimo Müller · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
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Mimic-cxr: A large publicly available database of labeled chest radiographs
Alistair EW Johnson, Tom J Pollard, Seth Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
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Correlation of chest ct and rt-pcr testing in coronavirus disease 2019 (covid-19) in china: a report of 1014 cases
Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, and Liming Xia · 2020
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Covid-2019 detection using x-ray images and artificial intelligence hybrid systems, 03 2020
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, et al · 2020
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Covid-19 image data collection
Joseph Paul Cohen, Paul Morrison, and Lan Dao · 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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Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Biraja Ghoshal and Allan Tucker · 2020
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Class-imbalanced semi-supervised learning
Minsung Hyun, Jisoo Jeong, and Nojun Kwak · 2020
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Ali Alqudah, Shoroq Qazan, Hiam Alquran, Isam Abuqasmieh, and Amin Alqudah · 2020
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Radiographic severity index in covid-19 pneumonia: relationship to age and sex in 783 italian patients
Roberto Masciullo et al. Andrea Borghesi, Angelo Zigliani · 2020
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Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos and Tzani Bessiana · 2020
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Presumed asymptomatic carrier transmission of covid-19
Yan Bai, Lingsheng Yao, Tao Wei, Fei Tian, Dong-Yan Jin, Lijuan Chen, and Meiyun Wang · 2020
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Mixmood: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures, 2020
Saul Calderon-Ramirez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, and Miguel A. Molina-Cabello · 2020
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Improved molecular diagnosis of covid-19 by the novel, highly sensitive and specific covid-19-rdrp/hel real-time reverse transcription-polymerase chain reaction assay validated in vitro and with clinical specimens
Jasper Fuk-Woo Chan, Cyril Chik-Yan Yip, Kelvin Kai-Wang To, Tommy Hing-Cheung Tang, Sally Cheuk-Ying Wong, Kit-Hang Leung, Agnes Yim-Fong Fung, Anthony Chin-Ki Ng, Zijiao Zou, Hoi-Wah Tsoi, et al · 2020
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Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in wuhan, china: a descriptive study
Nanshan Chen, Min Zhou, Xuan Dong, Jieming Qu, Fengyun Gong, Yang Han, Yang Qiu, Jingli Wang, Ying Liu, Yuan Wei, et al · 2020
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Can AI help in screening Viral and COVID-19 pneumonia?
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, and Mamun Bin Ibne Reaz · 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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Chest radiograph interpretation with deep learning models: assessment with radiologist-adjudicated reference standards and population-adjusted evaluation
Anna Majkowska, Sid Mittal, David F Steiner, Joshua J Reicher, Scott Mayer McKinney, Gavin E Duggan, Krish Eswaran, Po-Hsuan Cameron Chen, Yun Liu, Sreenivasa Raju Kalidindi, et al · 2020
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Pooling rt-pcr or ngs samples has the potential to cost-effectively generate estimates of covid-19 prevalence in resource limited environments
Krishna Narayanan, Isabel Frost, Anoosheh Heidarzadeh, Katie K Tseng, Sayantan Banerjee, Jacob John, and Ramanan Laxminarayan · 2020
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COVID-19 Detection using Artificial Intelligence
Fatima M Salman, Samy S Abu-Naser, Eman Alajrami, Bassem S Abu-Nasser, and Belal A M Ashqar · 2020
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Detection of coronavirus disease (covid-19) based on deep features
Prabira Kumar Sethy and Santi Kumari Behera · 2020
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Emerging 2019 novel coronavirus (2019-ncov) pneumonia
Fengxiang Song, Nannan Shi, Fei Shan, Zhiyong Zhang, Jie Shen, Hongzhou Lu, Yun Ling, Yebin Jiang, and Yuxin Shi · 2020
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A survey on semi-supervised learning
Jesper E Van Engelen and Holger H Hoos · 2020
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In vitro diagnostic assays for covid-19: Recent advances and emerging trends, 2020
Sandeep Kumar Vashist · 2020
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