Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey

[1]  Ali Hassan Sodhro,et al.  Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning , 2020, BenchCouncil Transactions on Benchmarks, Standards and Evaluations.

[2]  N. Moussa,et al.  Forecasting Covid-19 Transmission with ARIMA and LSTM Techniques in Morocco , 2022, SN Computer Science.

[3]  Mahdiyar Molahasani Majdabadi,et al.  COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning , 2020, ArXiv.

[4]  Nishita Mehta,et al.  Pandemic Analytics: How Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19? , 2021, SN Computer Science.

[5]  Srikanth Tammina.  CovidSORT: Detection of Novel COVID-19 in Chest X-ray Images by Leveraging Deep Transfer Learning Models , 2021, Lecture Notes in Electrical Engineering.

[6]  K. Hasan,et al.  A Transfer Learning-Based Approach with Deep CNN for COVID-19- and Pneumonia-Affected Chest X-ray Image Classification , 2021, SN Computer Science.

[7]  Md. Rabiul Islam,et al.  Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic , 2021, SN Computer Science.

[8]  Nahin Kumar Dey,et al.  HOG + CNN Net: Diagnosing COVID-19 and Pneumonia by Deep Neural Network from Chest X-Ray Images , 2021, SN Computer Science.

[9]  P. Ambad,et al.  CvDeep-COVID-19 Detection Model , 2021, SN Computer Science.

[10]  Fatemeh Homayounieh,et al.  CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images , 2021, npj Digital Medicine.

[11]  N. Filipovic,et al.  Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks , 2021, Journal of personalized medicine.

[12]  Thomas Martinetz,et al.  Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning , 2020, Sensors.

[13]  Najmul Hasan,et al.  DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image , 2020, SN Computer Science.

[14]  Shui-Hua Wang,et al.  CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia , 2020, Information Processing & Management.

[15]  Rachna Jain,et al.  Deep learning based detection and analysis of COVID-19 on chest X-ray images , 2020, Appl. Intell..

[16]  S. Deowan,et al.  COVIDXception-Net: A Bayesian Optimization-Based Deep Learning Approach to Diagnose COVID-19 from X-Ray Images , 2020, SN Computer Science.

[17]  Mitchell Riley,et al.  Identification of Images of COVID-19 from Chest X-rays Using Deep Learning: Comparing COGNEX VisionPro Deep Learning 1.0™ Software with Open Source Convolutional Neural Networks , 2020, SN Computer Science.

[18]  Md Abidur Rahman Khan Jim,et al.  A Comprehensive Survey of COVID-19 Detection Using Medical Images , 2020, SN Computer Science.

[19]  Milan Sonka,et al.  COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net , 2020, ArXiv.

[20]  M. Punjabi,et al.  Diagnosis of COVID-19 using CT scan images and deep learning techniques , 2020, Emergency Radiology.

[21]  Noorbakhsh Amiri Golilarz,et al.  Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging , 2020, IEEE Sensors Journal.

[22]  N. Mehendale,et al.  Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening , 2020, SN Computer Science.

[23]  Tahmina Zebin,et al.  COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization , 2020, Appl. Intell..

[24]  B. K. Panigrahi,et al.  Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data , 2020, Medical & Biological Engineering & Computing.

[25]  Loris Nanni,et al.  A critic evaluation of methods for COVID-19 automatic detection from X-ray images , 2020, Information Fusion.

[26]  Aboul Ella Hassanien,et al.  Artificial Intelligence Approach to Predict the COVID-19 Patient's Recovery , 2020, Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic.

[27]  Kaushik Roy,et al.  Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays , 2020, Cogn. Comput..

[28]  L. R. Kolozsvari,et al.  Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence , 2020, medRxiv.

[29]  Eduardo José da S. Luz,et al.  Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images , 2020, Research on Biomedical Engineering.

[30]  Fadi Dornaika,et al.  Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19 , 2020, Journal of Medical Systems.

[31]  Kayhan Zrar Ghafoor,et al.  Diagnosing COVID-19 pneumonia from x-ray and CT images using deep learning and transfer learning algorithms , 2020, Defense + Commercial Sensing.

[32]  Ali Idri,et al.  Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning , 2020, Studies in Big Data.

[33]  Ali Narin,et al.  Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks , 2020, Pattern Analysis and Applications.

[34]  Yaozong Gao,et al.  Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification , 2021, Physics in medicine and biology.

[35]  Weiya Shi,et al.  A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients , 2020, Annals of translational medicine.

[36]  Yuedong Yang,et al.  Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images , 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[37]  Bo Xu,et al.  A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) , 2020, European Radiology.

[38]  Noor E. Hafsa,et al.  An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images , 2021, Symmetry.

[39]  M. A. Al-antari,et al.  “Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images” , 2020, Applied Intelligence.

[40]  H. Abbasimehr,et al.  Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization , 2020, Chaos, Solitons & Fractals.

[41]  L. J. Muhammad,et al.  Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset , 2020, SN Computer Science.

[42]  Swati Hira,et al.  An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray images , 2020, Applied Intelligence.

[43]  Liyana Shuib,et al.  Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks , 2020, PeerJ Comput. Sci..

[44]  Muhammet Fatih Aslan,et al.  CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection , 2020, Applied Soft Computing.

[45]  Mohammad Belayet Hossain,et al.  Attention-based VGG-16 model for COVID-19 chest X-ray image classification , 2020, Applied Intelligence.

[46]  Manjit Kaur,et al.  Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images , 2020, Journal of Ambient Intelligence and Humanized Computing.

[47]  Guangtao Zhai,et al.  Detection of Respiratory Infections Using RGB-Infrared Sensors on Portable Device , 2020, IEEE Sensors Journal.

[48]  Jun Xu,et al.  Stacked-autoencoder-based model for COVID-19 diagnosis on CT images , 2020, Applied Intelligence.

[49]  K. Santosh,et al.  Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays , 2020, Applied Intelligence.

[50]  Md. Milon Islam,et al.  Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic , 2020, SN Computer Science.

[51]  Syed Attique Shah,et al.  A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic , 2020, Chaos, Solitons & Fractals.

[52]  Jianjiang Feng,et al.  Development and evaluation of an artificial intelligence system for COVID-19 diagnosis , 2020, Nature Communications.

[53]  Su Ruan,et al.  Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation , 2020, Computers in Biology and Medicine.

[54]  Sheeba J. Rani,et al.  Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases , 2020, Int. J. Biomed. Imaging.

[55]  Antonella Santone,et al.  Machine learning for coronavirus covid-19 detection from chest x-rays , 2020, Procedia Computer Science.

[56]  Abdulkadir Şengür,et al.  Deep learning approaches for COVID-19 detection based on chest X-ray images , 2020, Expert Systems with Applications.

[57]  R. Karthik,et al.  Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN , 2020, Applied Soft Computing.

[58]  Amir Mosavi,et al.  Rapid COVID-19 Diagnosis Using Deep Learning of the Computerized Tomography Scans , 2020, 2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE).

[59]  Ali Al-Bawi,et al.  CCBlock: an effective use of deep learning for automatic diagnosis of COVID-19 using X-ray images , 2020, Research on Biomedical Engineering.

[60]  T. Goel,et al.  OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19 , 2020, Applied Intelligence.

[61]  Ilker Ozsahin,et al.  Detection of COVID-19 from Chest X-Ray Images Using Convolutional Neural Networks , 2020, SLAS Technology.

[62]  Muammer Turkoglu,et al.  COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble , 2020, Applied Intelligence.

[63]  Mohd Saqib.  Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model , 2020, Applied Intelligence.

[64]  Madhu S. Nair,et al.  Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier , 2020, Biocybernetics and Biomedical Engineering.

[65]  Irfan Ullah Khan,et al.  A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images , 2020, Inf..

[66]  Hao Wang,et al.  Weakly-Supervised Network for Detection of COVID-19 in Chest CT Scans , 2020, IEEE Access.

[67]  Abdulmohsen N. Alotaibi,et al.  Transfer Learning for Detecting Covid-19 Cases Using Chest X-Ray Images , 2020 .

[68]  M. Flammini,et al.  Deep Learning for Automated Recognition of Covid-19 from Chest X-ray Images , 2020, medRxiv.

[69]  Varalakshmi Perumal,et al.  Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features , 2020, Applied Intelligence.

[70]  Afshin Mohammadi,et al.  COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings , 2020, European Radiology.

[71]  Xin Zhao,et al.  Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches , 2020, Journal of X-ray science and technology.

[72]  S. Pillai,et al.  Detection of COVID-19 Using Chest Radiographs with Intelligent Deployment Architecture , 2020, Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach.

[73]  Nour Eldeen M. Khalifa,et al.  The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach , 2020, Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach.

[74]  Haytham H. Elmousalami,et al.  Stacking Deep Learning for Early COVID-19 Vision Diagnosis , 2020, Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach.

[75]  S. Mohammed,et al.  COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor , 2020, Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach.

[76]  O. M. Elzeki,et al.  Why Are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images , 2020, Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach.

[77]  Muhammad Ashad Kabir,et al.  PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images , 2020, Health information science and systems.

[78]  Kemal Polat,et al.  A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization , 2020, Applied Soft Computing.

[79]  Sachin Sharma,et al.  Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients , 2020, Environmental Science and Pollution Research.

[80]  E. J. Hwang,et al.  Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19 , 2020, Korean journal of radiology.

[81]  Nitin Arora,et al.  Deep Transfer Learning Approach for Detection of Covid-19 from Chest X-Ray Images , 2020 .

[82]  Muhammad Ashad Kabir,et al.  PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images , 2020, Health Information Science and Systems.

[83]  Dae Chul Cho,et al.  Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging , 2020, Frontiers in Medicine.

[84]  Talha Burak Alakus,et al.  Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks , 2020, Chaos, Solitons & Fractals.

[85]  Moi Hoon Yap,et al.  ReCoNet: Multi-level Preprocessing of Chest X-rays for COVID-19 Detection Using Convolutional Neural Networks , 2020, medRxiv.

[86]  Hari Mohan Pandey,et al.  COVIDPEN: A Novel COVID-19 Detection Model using Chest X-Rays and CT Scans , 2020, medRxiv.

[87]  J. Civit-Masot,et al.  Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images , 2020 .

[88]  K. Parmar,et al.  Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries , 2020, Chaos, Solitons & Fractals.

[89]  Dilbag Singh,et al.  Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning , 2020, Journal of biomolecular structure & dynamics.

[90]  Ali Kashif Bashir,et al.  COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm , 2020, Frontiers in Public Health.

[91]  Seçkin Karasu,et al.  Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique , 2020, Chaos, Solitons & Fractals.

[92]  Yizhou Yu,et al.  A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images , 2020, European Radiology.

[93]  Abdullah M. Iliyasu,et al.  Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections , 2020, Viruses.

[94]  Manjit Kaur,et al.  Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays , 2020, IRBM.

[95]  Xin-qi Zheng,et al.  Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics , 2020, Chaos, Solitons & Fractals.

[96]  Syed Tanzeel Rabani,et al.  Machine learning based approaches for detecting COVID-19 using clinical text data , 2020, International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management.

[97]  Milind Yadav,et al.  Analysis on novel coronavirus (COVID-19) using machine learning methods , 2020, Chaos, Solitons & Fractals.

[98]  C. Dyreson,et al.  COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach , 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

[99]  Mohamed Abd Elaziz,et al.  New machine learning method for image-based diagnosis of COVID-19 , 2020, PloS one.

[100]  M. Lattuada,et al.  Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome , 2020, European Radiology Experimental.

[101]  Antonella Santone,et al.  Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays , 2020, Computer Methods and Programs in Biomedicine.

[102]  B. B. Zaidan,et al.  Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods , 2020, Computer Methods and Programs in Biomedicine.

[103]  Shaikh Anowarul Fattah,et al.  CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization , 2020, Computers in Biology and Medicine.

[104]  M. Z. Islam,et al.  A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images , 2020, Informatics in Medicine Unlocked.

[105]  Avik Santra,et al.  COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19 , 2020, ArXiv.

[106]  M. Loda,et al.  Routine laboratory blood tests predict SARS-CoV-2 infection using machine learning , 2020, medRxiv.

[107]  Zdeněk Peroutka,et al.  Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment , 2020, IEEE Access.

[108]  Shadman Q. Salih,et al.  Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images , 2020 .

[109]  D. K. K. Singh,et al.  Kalman filter based short term prediction model for COVID-19 spread , 2020, Applied Intelligence.

[110]  S. Tabik,et al.  COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images , 2020, IEEE Journal of Biomedical and Health Informatics.

[111]  Ravneet Punia,et al.  Computer Vision and Radiology for COVID-19 Detection , 2020, 2020 International Conference for Emerging Technology (INCET).

[112]  Youngbin Shin,et al.  COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation , 2020, Journal of medical Internet research.

[113]  S. Rajaraman,et al.  Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays , 2020, Diagnostics.

[114]  Jiantao Pu,et al.  Any unique image biomarkers associated with COVID-19? , 2020, European Radiology.

[115]  Eleftherios Trivizakis,et al.  Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays , 2020, Experimental and therapeutic medicine.

[116]  Mohammad Rahimzadeh,et al.  A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2 , 2020, Informatics in Medicine Unlocked.

[117]  Nilanjan Dey,et al.  Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices , 2020, Applied Intelligence.

[118]  M. Ceylan,et al.  A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks , 2020, Applied Intelligence.

[119]  Z. Fayad,et al.  Artificial intelligence–enabled rapid diagnosis of patients with COVID-19 , 2020, Nature Medicine.

[120]  Sengul Dogan,et al.  An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image , 2020, Chemometrics and Intelligent Laboratory Systems.

[121]  Youness Chawki,et al.  Using X-ray images and deep learning for automated detection of coronavirus disease , 2020, Journal of biomolecular structure & dynamics.

[122]  Nannan Shi,et al.  Combination of four clinical indicators predicts the severe/critical symptom of patients infected COVID-19 , 2020, Journal of Clinical Virology.

[123]  S. S. Gill,et al.  Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing☆ , 2020, Internet of Things.

[124]  Vinay Kumar Reddy Chimmula,et al.  Time series forecasting of COVID-19 transmission in Canada using LSTM networks , 2020, Chaos, Solitons & Fractals.

[125]  Yi Tao,et al.  Classification of COVID-19 from Chest X-ray images using Deep Convolutional Neural Network , 2020, 2020 IEEE 6th International Conference on Computer and Communications (ICCC).

[126]  Mesut Toğaçar,et al.  COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches , 2020, Computers in Biology and Medicine.

[127]  Tayyip Ozcan.  A Deep Learning Framework for Coronavirus Disease (COVID-19) Detection in X-Ray Images , 2020 .

[128]  S. Haseli,et al.  ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans , 2020, medRxiv.

[129]  W. Liang,et al.  Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography , 2020, Cell.

[130]  Pierre G. B. Moutounet-Cartan.  Deep Convolutional Neural Networks to Diagnose COVID-19 and other Pneumonia Diseases from Posteroanterior Chest X-Rays , 2020, ArXiv.

[131]  P. Shukla,et al.  Deep Transfer Learning Based Classification Model for COVID-19 Disease , 2020, IRBM.

[132]  L. Mombaerts,et al.  An interpretable mortality prediction model for COVID-19 patients , 2020, Nature Machine Intelligence.

[133]  Leandro dos Santos Coelho,et al.  Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil , 2020, Chaos, Solitons & Fractals.

[134]  Rabha W. Ibrahim,et al.  Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features , 2020, Entropy.

[135]  U. Rajendra Acharya,et al.  Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks , 2020, Computers in Biology and Medicine.

[136]  U. Rajendra Acharya,et al.  Automated detection of COVID-19 cases using deep neural networks with X-ray images , 2020, Computers in Biology and Medicine.

[137]  Raymond Y Huang,et al.  AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT , 2020, Radiology.

[138]  Vaishali,et al.  Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks , 2020, European Journal of Clinical Microbiology & Infectious Diseases.

[139]  J. Goulet,et al.  POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS) , 2020, ArXiv.

[140]  F. Cabitza,et al.  Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study , 2020, Journal of Medical Systems.

[141]  Rita Orji,et al.  Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach , 2020, bioRxiv.

[142]  Sonali Agarwal,et al.  Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks , 2020, Applied Intelligence.

[143]  Deniz Korkmaz,et al.  COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images , 2020, Medical Hypotheses.

[144]  Sushmita Mitra,et al.  Deep Learning for Screening COVID-19 using Chest X-Ray Images , 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

[145]  Milan Sonka,et al.  Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning , 2020, Medical Image Analysis.

[146]  Xingdong Chen,et al.  Early prediction of mortality risk among severe COVID-19 patients using machine learning , 2020, medRxiv.

[147]  Sameer K. Antani,et al.  Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays , 2020, IEEE Access.

[148]  Yandre M. G. Costa,et al.  COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios , 2020, Computer Methods and Programs in Biomedicine.

[149]  Jong Chul Ye,et al.  Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets , 2020, IEEE Transactions on Medical Imaging.

[150]  Nilanjan Dey,et al.  Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art , 2020, SN Computer Science.

[151]  Asif Iqbal Khan,et al.  CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images , 2020, Computer Methods and Programs in Biomedicine.

[152]  T. Chakraborty,et al.  Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis , 2020, Chaos, Solitons & Fractals.

[153]  Umut Ozkaya,et al.  Coronavirus (COVID-19) Classification Using Deep Features Fusion and Ranking Technique , 2020, Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach.

[154]  Kadry Ali Ezzat,et al.  Automatic X-ray COVID-19 Lung Image Classification System based on Multi-Level Thresholding and Support Vector Machine , 2020, medRxiv.

[155]  Farnoosh Naderkhani,et al.  COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images , 2020, Pattern Recognition Letters.

[156]  Dipayan Das,et al.  Truncated inception net: COVID-19 outbreak screening using chest X-rays , 2020, Physical and Engineering Sciences in Medicine.

[157]  Charles N. John,et al.  AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app , 2020, Informatics in Medicine Unlocked.

[158]  Florentin Smarandache,et al.  Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning , 2020, Symmetry.

[159]  G. Pandey,et al.  SEIR and Regression Model based COVID-19 outbreak predictions in India , 2020, medRxiv.

[160]  Ioannis D. Apostolopoulos,et al.  Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases , 2020, Journal of Medical and Biological Engineering.

[161]  Mamun Bin Ibne Reaz,et al.  Can AI Help in Screening Viral and COVID-19 Pneumonia? , 2020, IEEE Access.

[162]  Chunhua Shen,et al.  COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection , 2020, ArXiv.

[163]  F. Zhou,et al.  Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests , 2020, Frontiers in Cell and Developmental Biology.

[164]  Yan Bai,et al.  A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis , 2020, European Respiratory Journal.

[165]  Mohamed Medhat Gaber,et al.  Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network , 2020, Applied Intelligence.

[166]  Ioannis D. Apostolopoulos,et al.  Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks , 2020, Physical and Engineering Sciences in Medicine.

[167]  Haibo Xu,et al.  AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks , 2020, medRxiv.

[168]  A. Wong,et al.  COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images , 2020, Scientific Reports.

[169]  Allan Tucker,et al.  Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection , 2020, ArXiv.

[170]  D. Raoult,et al.  Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial , 2020, International Journal of Antimicrobial Agents.

[171]  Prabira Kumar Sethy,et al.  Detection of Coronavirus Disease (COVID-19) Based on Deep Features , 2020 .

[172]  K. Cao,et al.  Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT , 2020, Radiology.

[173]  Hatem Khater,et al.  A Novel Approach of CT Images Feature Analysis and Prediction to Screen for Corona Virus Disease (COVID-19) , 2020, International Journal of Scientific & Engineering Research.

[174]  Wenyu Liu,et al.  Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label , 2020, medRxiv.

[175]  X. Qi,et al.  Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study , 2020, medRxiv.

[176]  Kaijin Xu,et al.  A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia , 2020, Engineering.

[177]  W. Ko,et al.  Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges , 2020, International Journal of Antimicrobial Agents.

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