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Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images., , , , , , , , , and . Cogn. Comput., 14 (5): 1752-1772 (2022)COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network., , , , , , , and . CoRR, (2021)Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray., , , , , , , and . CoRR, (2020)Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters., , , , , , , , , and 4 other author(s). IEEE Access, (2021)HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images., , , , , , , , , and 2 other author(s). IEEE Access, (2022)Can AI help in screening Viral and COVID-19 pneumonia?, , , , , , , , , and 1 other author(s). CoRR, (2020)An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning., , , , , , , and . Cogn. Comput., 16 (4): 1778-1793 (July 2024)BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data., , , , , , , , , and 3 other author(s). Neural Comput. Appl., 35 (24): 17461-17483 (August 2023)Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study., , , , , and . IEEE Access, (2023)A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations., , , , , , , , and . Comput. Biol. Medicine, (2021)