1. Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach
    Arnab Kumar Mishra et al, 2020, Journal of Healthcare Engineering CrossRef
  2. Applications of Artificial Intelligence in Battling Against Covid-19: A Literature Review
    Mohammad-H. Tayarani-N., 2020, Chaos, Solitons & Fractals CrossRef
  3. A Survey on Artificial Intelligence Approaches in Supporting Frontline Workers and Decision Makers for COVID-19 Pandemic
    Jawad Rasheed et al, 2020, Chaos, Solitons & Fractals CrossRef
  4. Vaccine- and natural infection-induced mechanisms that could modulate vaccine safety
    Ronald N. Kostoff et al, 2020, Toxicology Reports CrossRef
  5. EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers
    Prottoy Saha et al, 2021, Informatics in Medicine Unlocked CrossRef
  6. COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays
    Rajeev Kumar Singh et al, 2021, Neural Comput & Applic CrossRef
  7. A Narrative Review on Characterization of Acute Respiratory Distress Syndrome in COVID-19-infected Lungs using Artificial Intelligence
    Jasjit S. Suri et al, 2021, Computers in Biology and Medicine CrossRef
  8. Artificial intelligence and radiology: Combating the COVID-19 conundrum
    Mayur Pankhania, 2021, Indian J Radiol Imaging CrossRef
  9. Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
    José Daniel López-Cabrera et al, 2021, Health Technol. CrossRef
  10. A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
    Md. Milon Islam et al, 2021, IEEE Access CrossRef
  11. null
    Nikos Papatheodorou et al, 2020 CrossRef
  12. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
    Michael Roberts et al, 2021, Nat Mach Intell CrossRef
  13. Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
    Hossein Mohammad-Rahimi et al, 2021, Front. Cardiovasc. Med. CrossRef
  14. COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
    Jawad Rasheed et al, 2021, Interdiscip Sci Comput Life Sci CrossRef
  15. Enterprise imaging and big data: A review from a medical physics perspective
    Nicholas McCarthy et al, 2021, Physica Medica CrossRef
  16. Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database
    Muhammad Owais et al, 2021, Applied Soft Computing CrossRef
  17. Digital Imaging, Technologies and Artificial Intelligence Applications during COVID-19 pandemic
    Mustafa Alhasan et al, 2021, Computerized Medical Imaging and Graphics CrossRef
  18. Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
    Weronika Hryniewska et al, 2021, Pattern Recognition CrossRef
  19. Overview of current state of research on the application of artificial intelligence techniques for COVID-19.
    Vijay Kumar et al, 2021, PeerJ Comput Sci CrossRef
  20. COVID-19 detection using federated machine learning
    Mustafa Abdul Salam et al, 2021, PLoS ONE CrossRef
  21. Enhance Portable Radiograph for Fast and High Accurate COVID-19 Monitoring
    Ngan Le et al, 2021, Diagnostics CrossRef
  22. null
    Stefanos Zervoudakis et al, 2021 CrossRef
  23. Deep Learning for Medical Anomaly Detection – A Survey
    Tharindu Fernando et al, 2021, ACM Comput. Surv. CrossRef
  24. The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review
    Maria Elena Laino et al, 2021, Diagnostics CrossRef
  25. null
    Maryam Mohamed Zainal et al, 2022 CrossRef
  26. AI for COVID-19 Detection from radiographs: Incisive analysis of state of the art techniques, key challenges and future directions
    R. Karthik et al, 2021, IRBM CrossRef
  27. Fully Automated Unified Prognosis of Covid-19 Chest X-ray/CT Scan Images using Deep Covix-Net Model
    Dasari Naga Vinod et al, 2021, Computers in Biology and Medicine CrossRef
  28. null
    Nurdina Gita Pratiwi et al, 2021 CrossRef
  29. null
    Maryam Mohamed Zainal et al, 2021 CrossRef
  30. null
    R. Thanga Selvi et al, 2022 CrossRef
  31. Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
    Aakarsh Malhotra et al, 2021, Pattern Recognition CrossRef
  32. Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity
    Safynaz Abdel-Fattah Sayed et al, 2021, IEEE Access CrossRef
  33. Current limitations to identify covid-19 using artificial intelligence with chest x-ray imaging (part ii). The shortcut learning problem
    José Daniel López-Cabrera et al, 2021, Health Technol. CrossRef
  34. Hybrid-based framework for COVID-19 prediction via federated machine learning models
    Ameni Kallel et al, 2021, J Supercomput CrossRef
  35. Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective
    Jasjit Suri et al, 2021, IEEE J. Biomed. Health Inform. CrossRef
  36. null
    Anuradha Khattar et al, 2021 CrossRef
  37. xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography
    Arnab Kumar Mondal et al, 2022, IEEE J. Transl. Eng. Health Med. CrossRef
  38. CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks
    Sourabh Shastri et al, 2022, Health Technol. CrossRef
  39. Structure-aware deep learning for chronic middle ear disease
    Zheng Wang et al, 2022, Expert Systems with Applications CrossRef
  40. null
    Ganesh Kumar R. et al, 2022 CrossRef
  41. BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs
    Hassaan Malik et al, 2022, Multimedia Systems CrossRef
  42. Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data
    Muhammad Owais et al, 2021, IEEE J. Biomed. Health Inform. CrossRef
  43. null
    P. Mahalakshmi et al, 2020 CrossRef
  44. Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network
    Neha Muralidharan et al, 2022, Applied Soft Computing CrossRef
  45. null
    Vidyadevi G. Biradar et al, 2022 CrossRef
  46. null
    Luyu Zeng et al, 2021 CrossRef
  47. COVID-19 prognosis using limited chest X-ray images
    Arnab Kumar Mondal, 2022, Applied Soft Computing CrossRef
  48. Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
    Yassine Meraihi et al, 2022, SN COMPUT. SCI. CrossRef
  49. null
    Sajid Iqbal et al, 2022 CrossRef
  50. A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging
    Aishwarza Panday et al, 2022, Quant. Biol. CrossRef
  51. null
    Vojtěch Uher et al, 2022 CrossRef
  52. CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays
    Hassaan Malik et al, 2022, Multimed Tools Appl CrossRef