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In December 2019, a novel virus called COVID-19 had caused an enormous number of causalities to date.
Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules
Junji Shiraishi, Shigehiko Katsuragawa, Junpei Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, and Kunio Doi · 2000
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Segmentation in the pre-industrial labour market: women’s work in the dutch textile industry, 1581–1810
Elise van Nederveen Meerkerk · 2006
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Two public chest x-ray datasets for computer-aided screening of pulmonary diseases
Stefan Jaeger, Sema Candemir, Sameer Antani, Yì-Xiáng J Wáng, Pu-Xuan Lu, and George Thoma · 2014
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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, et al · 2017
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Overview of deep learning in medical imaging
Kenji Suzuki · 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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A lightweight deep learning model for covid-19 detection
Siti Raihanah Abdani, Mohd Asyraf Zulkifley, and Nuraisyah Hani Zulkifley · 2020
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Covid-caps: A capsule network-based framework for identification of covid-19 cases from x-ray images
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N Plataniotis, and Arash Mohammadi · 2020
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Comparison of deep learning approaches to predict covid-19 infection
Talha Burak Alakus and Ibrahim Turkoglu · 2020
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Covid_mtnet: Covid-19 detection with multi-task deep learning approaches, 2020
Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin, Tarek M. Taha, and Vijayan K. Asari · 2020
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Estimating the parameters of susceptible-infected-recovered model of covid-19 cases in india during lockdown periods
Dilip Kumar Bagal, Arati Rath, Abhishek Barua, and Dulu Patnaik · 2020
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Artificial intelligence augmentation of radiologist performance in distinguishing covid-19 from pneumonia of other origin at chest ct
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, et al · 2020
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Predicting covid-19 malignant progression with ai techniques
Xiang Bai, Cong Fang, Yu Zhou, Song Bai, Zaiyi Liu, Liming Xia, Qianlan Chen, Yongchao Xu, Tian Xia, Shi Gong, et al · 2020
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Ethnic and regional variations in hospital mortality from covid-19 in brazil: a cross-sectional observational study
Pedro Baqui, Ioana Bica, Valerio Marra, Ari Ercole, and Mihaela van Der Schaar · 2020
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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, et al · 2020
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Coronavirus (covid-19) classification using ct images by machine learning methods
Mucahid Barstugan, Umut Ozkaya, and Saban Ozturk · 2020
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Correlation between climate indicators and covid-19 pandemic in new york, usa
Muhammad Farhan Bashir, Benjiang Ma, Bushra Komal, Muhammad Adnan Bashir, Duojiao Tan, Madiha Bashir, et al · 2020
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Descriptive analysis of covid-19 patients in the context of india
Vaibhav Bhatnagar, Ramesh Chandra Poonia, Pankaj Nagar, Sandeep Kumar, Vijander Singh, Linesh Raja, and Pranav Dass · 2020
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Explainable deep learning for pulmonary disease and coronavirus covid-19 detection from x-rays
Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, and Antonella Santone · 2020
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Modeling the spread of covid-19 infection using a multilayer perceptron
Zlatan Car, Sandi Baressi Šegota, Nikola Anđelić, Ivan Lorencin, and Vedran Mrzljak · 2020
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Can ai help in screening viral and covid-19 pneumonia?
Muhammad EH Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al Emadi, et al · 2020
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Covid-19 image data collection: Prospective predictions are the future
Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q Duong, and Marzyeh Ghassemi · 2020
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Monitoring the number of covid-19 cases and deaths in brazil at municipal and federative units level
Wesley Cota et al · 2020
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A first public dataset from brazilian twitter and news on covid-19 in portuguese
Tiago de Melo and Carlos MS Figueiredo · 2020
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New machine learning method for image-based diagnosis of covid-19
Mohamed Abd Elaziz, Khalid M Hosny, Ahmad Salah, Mohamed M Darwish, Songfeng Lu, and Ahmed T Sahlol · 2020
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Detecting misleading information on covid-19
Mohamed K Elhadad, Kin Fun Li, and Fayez Gebali · 2020
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Inf-net: Automatic covid-19 lung infection segmentation from ct images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao · 2020
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Exploiting multiple optimizers with transfer learning techniques for the identification of covid-19 patients
Zeming Fan, Mudasir Jamil, Muhammad Tariq Sadiq, Xiwei Huang, and Xiaojun Yu · 2020
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Covid-resnet: A deep learning framework for screening of covid19 from radiographs
Muhammad Farooq and Abdul Hafeez · 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 covid-19 diagnosis using ensemble deep transfer learning models from chest radiographic images
Neha Gianchandani, Aayush Jaiswal, Dilbag Singh, Vijay Kumar, and Manjit Kaur · 2020
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Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, and Eliot Siegel · 2020
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Trend analysis and forecasting of covid-19 outbreak in india
Rajan Gupta and Saibal Kumar Pal · 2020
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Finding covid-19 from chest x-rays using deep learning on a small dataset
Lawrence O Hall, Rahul Paul, Dmitry B Goldgof, and Gregory M Goldgof · 2020
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Abdullah Hamid, Nasrullah Shiekh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hassan, and Ala Al-Fuqaha · 2020
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Dataset of covid-19 outbreak and potential predictive features in the usa
Arezoo Haratian, Hadi Fazelinia, Zeinab Maleki, Hao Wang, Mark Lewis, Russell Greiner, David Wishart, et al · 2020
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Sample-efficient deep learning for covid-19 diagnosis based on ct scans
Xuehai He, Xingyi Yang, Shanghang Zhang, Jinyu Zhao, Yichen Zhang, Eric Xing, and Pengtao Xie · 2020
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Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images
Ezz El-Din Hemdan, Marwa A Shouman, and Mohamed Esmail Karar · 2020
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A deep learning approach to detect covid-19 coronavirus with x-ray images
Govardhan Jain, Deepti Mittal, Daksh Thakur, and Madhup K Mittal · 2020
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Artificial intelligence and covid-19: deep learning approaches for diagnosis and treatment
Mohammad Jamshidi, Ali Lalbakhsh, Jakub Talla, Zdeněk Peroutka, Farimah Hadjilooei, Pedram Lalbakhsh, Morteza Jamshidi, Luigi La Spada, Mirhamed Mirmozafari, Mojgan Dehghani, et al · 2020
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Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassasni, Michal J Wesolowski, Kevin A Schneider, and Ralph Deters · 2020
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Nour Eldeen M Khalifa, Mohamed Hamed N Taha, Aboul Ella Hassanien, and Sally Elghamrawy · 2020
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Machine learning based approaches for detecting covid-19 using clinical text data
Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani, Qamar Rayees Khan, Nusrat Rouf, and Masarat Mohi Ud Din · 2020
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Covid-mobilexpert: On-device covid-19 patient triage and follow-up using chest x-rays
Xin Li, Chengyin Li, and Dongxiao Zhu · 2020
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Covid-19: The first documented coronavirus pandemic in history
Yen-Chin Liu, Rei-Lin Kuo, and Shin-Ru Shih · 2020
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Automated detection of covid-19 from ct scans using convolutional neural networks
Rohit Lokwani, Ashrika Gaikwad, Viraj Kulkarni, Aniruddha Pant, and Amit Kharat · 2020
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Pathogenesis of covid-19 from a cell biology perspective, 2020
Robert J Mason · 2020
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Ali Narin, Ceren Kaya, and Ziynet Pamuk · 2020
Cited alongside, same era.
A novel deep learning approach for classification of covid-19 images
Malaya Kumar Nath, Aniruddha Kanhe, and Madhusudhan Mishra · 2020
Cited alongside, same era.
Deep learning covid-19 features on cxr using limited training data sets
Yujin Oh, Sangjoon Park, and Jong Chul Ye · 2020
Cited alongside, same era.
Coşku Öksüz, Oğuzhan Urhan, and Mehmet Kemal Güllü · 2020
Cited alongside, same era.
A deep learning and grad-cam based color visualization approach for fast detection of covid-19 cases using chest x-ray and ct-scan images
Harsh Panwar, PK Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Prakhar Bhardwaj, and Vaishnavi Singh · 2020
Forecasting of covid-19 cases using deep learning models: Is it reliable and practically significant?
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, GM Shafiullah, Sumathi Ganesan, Ajay Kaarthic Jeysree, Irfan Ahmad Khan, and Eklas Hossain · 2021
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Deep learning-based forecasting model for covid-19 outbreak in saudi arabia
Ammar H Elsheikh, Amal I Saba, Mohamed Abd Elaziz, Songfeng Lu, S Shanmugan, T Muthuramalingam, Ravinder Kumar, Ahmed O Mosleh, FA Essa, and Taher A Shehabeldeen · 2021
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A multipurpose machine learning approach to predict covid-19 negative prognosis in são paulo, brazil
Fernando Timoteo Fernandes, Tiago Almeida de Oliveira, Cristiane Esteves Teixeira, Andre Filipe de Moraes Batista, Gabriel Dalla Costa, and Alexandre Dias Porto Chiavegatto Filho · 2021
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Instacovnet-19: A deep learning classification model for the detection of covid-19 patients using chest x-ray
Anunay Gupta, Shreyansh Gupta, Rahul Katarya, et al · 2021
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Detecting covid-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm
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Cited alongside, same era.
Application of deep learning for fast detection of covid-19 in x-rays using ncovnet
Harsh Panwar, PK Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, and Vaishnavi Singh · 2020
Cited alongside, same era.
Importation and human-to-human transmission of a novel coronavirus in vietnam
Lan T Phan, Thuong V Nguyen, Quang C Luong, Thinh V Nguyen, Hieu T Nguyen, Hung Q Le, Thuc T Nguyen, Thang M Cao, and Quang D Pham · 2020
Cited alongside, same era.
Computer vision and radiology for covid-19 detection
Ravneet Punia, Lucky Kumar, Mohd Mujahid, and Rajesh Rohilla · 2020
Cited alongside, same era.
Covid-19 epidemic analysis using machine learning and deep learning algorithms
Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal · 2020
Cited alongside, same era.
Development of a clinical decision support system for the early detection of covid-19 using deep learning based on chest radiographic images
M Qjidaa, A Ben-Fares, Y Mechbal, H Amakdouf, M Maaroufi, B Alami, and H Qjidaa · 2020
Cited alongside, same era.
An automated system to limit covid-19 using facial mask detection in smart city network
Mohammad Marufur Rahman, Md Motaleb Hossen Manik, Md Milon Islam, Saifuddin Mahmud, and Jong-Hoon Kim · 2020
Cited alongside, same era.
Pattern of early human-to-human transmission of wuhan 2019 novel coronavirus (2019-ncov), december 2019 to january 2020
Julien Riou and Christian L Althaus · 2020
Cited alongside, same era.
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, and Bin Zheng · 2021
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Covid-fact: A fully-automated capsule network-based framework for identification of covid-19 cases from chest ct scans
Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Faranak Babaki Fard, Kaveh Samimi, S Farokh Atashzar, Anastasia Oikonomou, Konstantinos N Plataniotis, et al · 2021
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Early risk assessment for covid-19 patients from emergency department data using machine learning
Frank S Heldt, Marcela P Vizcaychipi, Sophie Peacock, Mattia Cinelli, Lachlan McLachlan, Fernando Andreotti, Stojan Jovanović, Robert Dürichen, Nadezda Lipunova, Robert A Fletcher, et al · 2021
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Corodet: A deep learning based classification for covid-19 detection using chest x-ray images
Emtiaz Hussain, Mahmudul Hasan, Md Anisur Rahman, Ickjai Lee, Tasmi Tamanna, and Mohammad Zavid Parvez · 2021
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Deep learning based detection and analysis of covid-19 on chest x-ray images
Rachna Jain, Meenu Gupta, Soham Taneja, and D Jude Hemanth · 2021
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Evaluation of deep learning-based approaches for covid-19 classification based on chest x-ray images
KC Kamal, Zhendong Yin, Mingyang Wu, and Zhilu Wu · 2021
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Lightweight deep learning models for detecting covid-19 from chest x-ray images
Stefanos Karakanis and Georgios Leontidis · 2021
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Integrating deep learning ct-scan model, biological and clinical variables to predict severity of covid-19 patients
Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, Hugo Gortais, Paul Herent, Matthieu Devilder, Samer Soliman, Olivier Meyrignac, Marie-Pauline Talabard, Jean-Philippe Lamarque, et al · 2021
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A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the covid-19 pandemic
Mohamed Loey, Gunasekaran Manogaran, Mohamed Hamed N Taha, and Nour Eldeen M Khalifa · 2021
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Pollution, economic growth, and covid-19 deaths in india: a machine learning evidence
Marco Mele and Cosimo Magazzino · 2021
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Application of deep learning techniques for detection of covid-19 cases using chest x-ray images: A comprehensive study
Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, and Ram Bilas Pachori · 2021
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Fcod: Fast covid-19 detector based on deep learning techniques
Amir Hossein Panahi, Alireza Rafiei, and Alireza Rezaee · 2021
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Machine learning based predictors for covid-19 disease severity
Dhruv Patel, Vikram Kher, Bhushan Desai, Xiaomeng Lei, Steven Cen, Neha Nanda, Ali Gholamrezanezhad, Vinay Duddalwar, Bino Varghese, and Assad A Oberai · 2021
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Detection of covid-19 using cxr and ct images using transfer learning and haralick features
Varalakshmi Perumal, Vasumathi Narayanan, and Sakthi Jaya Sundar Rajasekar · 2021
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A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to covid-19 drug repurposing
Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, and Ping Zhang · 2021
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Classification of covid-19 chest x-rays with deep learning: new models or fine tuning?
Tuan D Pham · 2021
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History of the covid-19 pandemic: origin, explosion, worldwide spreading
Sara Platto, Yanqing Wang, Jinfeng Zhou, and Ernesto Carafoli · 2021
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Predicting mortality risk in patients with covid-19 using machine learning to help medical decision-making
Mohammad Pourhomayoun and Mahdi Shakibi · 2021
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A machine learning-based framework for diagnosis of covid-19 from chest x-ray images
Jawad Rasheed, Alaa Ali Hameed, Chawki Djeddi, Akhtar Jamil, and Fadi Al-Turjman · 2021
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Ann assisted-iot enabled covid-19 patient monitoring
Geetanjali Rathee, Sahil Garg, Georges Kaddoum, Yulei Wu, Dushantha Nalin K Jayakody, and Atif Alamri · 2021
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Machine learning techniques to detect and forecast the daily total covid-19 infected and deaths cases under different lockdown types
Tanzila Saba, Ibrahim Abunadi, Mirza Naveed Shahzad, and Amjad Rehman Khan · 2021
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Potential limitations in covid-19 machine learning due to data source variability: A case study in the ncov2019 dataset
Carlos Sáez, Nekane Romero, J Alberto Conejero, and Juan M García-Gómez · 2021
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Graphcovidnet: A graph neural network based model for detecting covid-19 from ct scans and x-rays of chest
Pritam Saha, Debadyuti Mukherjee, Pawan Kumar Singh, Ali Ahmadian, Massimiliano Ferrara, and Ram Sarkar · 2021
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Automated detection of covid-19 using ensemble of transfer learning with deep convolutional neural network based on ct scans
Ahmad Shalbaf, Majid Vafaeezadeh, et al · 2021
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A deep learning-based quantitative computed tomography model for predicting the severity of covid-19: a retrospective study of 196 patients
Weiya Shi, Xueqing Peng, Tiefu Liu, Zenghui Cheng, Hongzhou Lu, Shuyi Yang, Jiulong Zhang, Mei Wang, Yaozong Gao, Yuxin Shi, et al · 2021
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Metacovid: A siamese neural network framework with contrastive loss for n-shot diagnosis of covid-19 patients
Mohammad Shorfuzzaman and M Shamim Hossain · 2021
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Using benford’s law to assess the quality of covid-19 register data in brazil
Lucas Silva and Dalson Figueiredo Filho · 2021
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Covidscreen: Explainable deep learning framework for differential diagnosis of covid-19 using chest x-rays
Rajeev Kumar Singh, Rohan Pandey, and Rishie Nandhan Babu · 2021
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Deep learning enables accurate diagnosis of novel coronavirus (covid-19) with ct images
Ying Song, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Ruixuan Wang, Huiying Zhao, Yunfei Zha, et al · 2021
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Improving covid-19 forecasting using exogenous variables
Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari, Shophine Sivaraja, Aishwarya Venkataraj, Indrajeet Javeri, Yuan Ke, Ismailcem Arpinar, Nicole Lazar, and John Miller · 2021
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Covidetectionet: Covid-19 diagnosis system based on x-ray images using features selected from pre-learned deep features ensemble
Muammer Turkoglu · 2021
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An interpretation architecture for deep learning models with the application of covid-19 diagnosis
Yuchai Wan, Hongen Zhou, and Xun Zhang · 2021
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A deep learning algorithm using ct images to screen for corona virus disease (covid-19)
Shuai Wang, Bo Kang, Jinlu Ma, Xianjun Zeng, Mingming Xiao, Jia Guo, Mengjiao Cai, Jingyi Yang, Yaodong Li, Xiangfei Meng, et al · 2021
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Deepgleam: A hybrid mechanistic and deep learning model for covid-19 forecasting, 2021
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, and Rose Yu · 2021
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A deep learning algorithm using ct images to screen for corona virus disease (covid-19)
Bo Xu and Xiangfei Meng · 2021
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Covidistress global survey dataset on psychological and behavioural consequences of the covid-19 outbreak
Yuki Yamada, Dominik-Borna Ćepulić, Tao Coll-Martín, Stéphane Debove, Guillaume Gautreau, Hyemin Han, Jesper Rasmussen, Thao P Tran, Giovanni A Travaglino, and Andreas Lieberoth · 2021
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Covid-19 detection and disease progression visualization: Deep learning on chest x-rays for classification and coarse localization
Tahmina Zebin and Shahadate Rezvy · 2021
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On the application of advanced machine learning methods to analyze enhanced, multimodal data from persons infected with covid-19
Wenhuan Zeng, Anupam Gautam, and Daniel H Huson · 2021
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The ensemble deep learning model for novel covid-19 on ct images
Tao Zhou, Huiling Lu, Zaoli Yang, Shi Qiu, Bingqiang Huo, and Yali Dong · 2021
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Machine learning-based prediction of covid-19 diagnosis based on symptoms
Yazeed Zoabi, Shira Deri-Rozov, and Noam Shomron · 2021
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Generative adversarial network based data augmentation for cnn based detection of covid-19
Rutwik Gulakala, Bernd Markert, and Marcus Stoffel · 2022
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Computational pharmacology: New avenues for covid-19 therapeutics search and better preparedness for future pandemic crises
Austė Kanapeckaitė, Asta Mažeikienė, Liesbet Geris, Neringa Burokienė, Graeme S. Cottrell, and Darius Widera · 2022
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A deep transfer learning-based convolution neural network model for covid-19 detection using computed tomography scan images for medical applications
Nirmala Devi Kathamuthu, Shanthi Subramaniam, Quynh Hoang Le, Suresh Muthusamy, Hitesh Panchal, Suma Christal Mary Sundararajan, Ali Jawad Alrubaie, and Musaddak Maher Abdul Zahra · 2023
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