Mohamed Abd Elfattah

16 papers and 195 indexed citations i.

Mohamed Abd Elfattah has authored 16 papers that have received a total of 195 indexed citations. This includes 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are AI in cancer detection (4 papers), COVID-19 diagnosis using AI (4 papers) and Handwritten Text Recognition Techniques (4 papers). Mohamed Abd Elfattah is often cited by papers focused on AI in cancer detection (4 papers), COVID-19 diagnosis using AI (4 papers) and Handwritten Text Recognition Techniques (4 papers) and collaborates with scholars based in Egypt, United Kingdom and Saudi Arabia. Mohamed Abd Elfattah's co-authors include Aboul Ella Hassanien, Mahmoud Y. Shams, Omar M. Elzeki, Gerald Schaefer and Hanaa Salem and has published in prestigious journals such as Environmental Science and Pollution Research, Applied Soft Computing and Applied Sciences.