| COVID-19 detection using X-ray images and statistical measurements | | 2022 | |
| COVID-19 Diagnosis and Classification Using Radiological Imaging and Deep Learning Techniques: A Comparative Study | | 2022 | 1 |
| Database and AI Diagnostic Tools Improve Understanding of Lung Damage, Correlation of Pulmonary Disease and Brain Damage in COVID-19 | | 2022 | 1 |
| A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 Diagnosis | International Journal of Information Management Data Insights | 2022 | 0 |
| Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow | Scientific Reports | 2022 | 1 |
| A deep learning approach with Bayesian optimized Kernel support vector machine for Covid-19 diagnosis | Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization | | |
| An AI-enabled pre-trained model-based Covid detection model using chest X-ray images | Multimedia Tools and Applications | | 0 |
| LiteCovidNet : A lightweight deep neural network model for detection of COVID ‐19 using X‐ray images | International Journal of Imaging Systems and Technology | | 0 |
| A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey | Journal of Experimental and Theoretical Artificial Intelligence | | 1 |
| Covid-19 Detection using X-ray | International Journal of Scientific Research in Computer Science Engineering and Information Technology | 2022 | |
| Uncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis | Studies in Computational Intelligence | 2022 | |
| A Review of Machine Learning Techniques to Detect and Treat COVID-19 Using EHR Data | Studies in Computational Intelligence | 2022 | |
| Deep Learning-Based COVID-19 Detection Using Lung Parenchyma CT Scans | Lecture Notes in Networks and Systems | 2022 | 0 |
| Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images | Pattern Recognition | 2022 | 3 |
| Key techniques for classification of thorax diseases based on deep learning | International Journal of Imaging Systems and Technology | | |
| Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review (Preprint) | JMIR Medical Informatics | | 0 |
| COVID-19 Detection Using Deep Learning: A Comparative Study of Segmentation Algorithms | Lecture Notes in Networks and Systems | 2022 | |
| Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey | Frontiers in Artificial Intelligence | 2022 | 3 |
| Stacked Dark COVID-Net: A Multi-class Multi-label Classification Approach for Diagnosing COVID-19 Using Chest X-Ray Images | Communications in Computer and Information Science | 2022 | |
| Joint design and compression of convolutional neural networks as a Bi-level optimization problem | Neural Computing and Applications | | 3 |
| FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information | Sensors | 2022 | 1 |
| Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion. | Biomedical Signal Processing and Control | 2022 | 2 |
| A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images. | Biomedical Signal Processing and Control | 2022 | 3 |
| Study on transfer learning capabilities for pneumonia classification in chest-x-rays images. | Computer Methods and Programs in Biomedicine | 2022 | 0 |
| Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. | Multimedia Tools and Applications | 2022 | 0 |
