Nada M. Elshennawy
About
Nada M. Elshennawy has authored 15 papers that have received a total of 388 indexed citations.
This includes 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are COVID-19 diagnosis using AI (4 papers), Machine Learning in Healthcare (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Nada M. Elshennawy is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Machine Learning in Healthcare (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers) and collaborates with scholars based in Egypt, Saudi Arabia and United Kingdom. Nada M. Elshennawy's co-authors include Amany Sarhan, Dina M. Ibrahim, Dina M. Ibrahim, Haris Pervaiz and Richard Jiang and has published in prestigious journals such as Expert Systems with Applications, Neural Computing and Applications and Computers in Biology and Medicine
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