‪Muhammed Sayed Ismail Hammad‬ - ‪Google Scholar‬

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Co-authors

Mai S. MabroukProfessor of Biomedical Informatics , ITCS, Nile UniversityVerified email at nu.edu.eg
Vidan Fathi GhoneimLecturer of Biomedical Engineering,Helwan UniversityVerified email at h-eng.helwan.edu.eg
Prof. Walid Al-AtabanyNile University, Helwan UniversityVerified email at nu.edu.eg

Muhammed Sayed Ismail Hammad

Muhammed Sayed Ismail Hammad

Biomedical Engineering Department, Helwan University, Helwan, Egypt

Verified email at h-eng.helwan.edu.eg

Image Processing Bioinformatics Genomic Image Processing Machine Learning Deep Learning


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A hybrid deep learning approach for COVID-19 detection based on genomic image processing techniques MS Hammad, VF Ghoneim, MS Mabrouk, WI Al-Atabany Scientific Reports 13 (1), 4003, 2023	7	2023
Genomic Image Representation of Human Coronavirus Sequences for COVID-19 Detection MS Hammad, MS Mabrouk, WI Al-atabany, VF Ghoneim Alexandria Engineering Journal, 2022	5	2022
Detection of COVID-19 using genomic image processing techniques MS Hammad, VF Ghoneim, MS Mabrouk 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES …, 2021	3	2021
The influence of the analysis technique on myocardial T1 estimation using MRI MS Hammad, AM Khalifa, ESH Ibrahim 2016 8th Cairo International Biomedical Engineering Conference (CIBEC), 102-105, 2016	1	2016
The influence of the analysis technique on myocardial T2 estimation using cardiac magnetic resonance imaging (CMR) MS Hammad, AM Khalifa, ESH Ibrahim, W Al-Atabany 2017 Eighth International Conference on Intelligent Computing and …, 2017		2017

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