Research output per year
Research output per year
Personal profile
Personal profile
Mohamed Hosny received his M.Sc. degree in 2017, Biomedical Engineering Department, Benha Faculty of Engineering, Benha University, Egypt, and Ph.D. degree in 2022, School of Life Science and Technology, Harbin Institute of Technology, Harbin, China. He is currently an Assistant Professor in Benha Faculty of Engineering, Benha University, Egypt. His research interests include Computer Vision, Machine learning and Signal processing . For Research Collaborations: [email protected]
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Assistant Professor, Benha University
8 Feb 2023 → …
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Collaborations and top research areas from the last five years
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Beyond transfer learning: Attention-enhanced deep learning framework for multiclass gastrointestinal disease classification
Hosny, M., Elgendy, I. A. & Ahmad Albashrawi, M., 1 Jan 2026, In: Expert Systems with Applications. 295, 128852.Research output: Contribution to journal › Article › peer-review
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A deep learning-based model for automated STN localization using local field potentials in Parkinson’s disease
Hosny, M., Naeem, M. A., Zhu, M., Gao, W., Elshenhab, A. M. & Fu, Y., Feb 2025, In: Soft Computing. 29, 4, p. 2343-2362 20 p., 105091.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Attention-Based Convolutional Neural Network Model for Skin Cancer Classification
Hosny, M., Elgendy, I. A., Chelloug, S. A. & Albashrawi, M. A., 2025, In: IEEE Access. 13, p. 172027-172050 24 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Dual-stage explainable ensemble learning model for diabetes diagnosis
Elgendy, I. A., Hosny, M., Albashrawi, M. A. & Alsenan, S., 15 May 2025, In: Expert Systems with Applications. 274, 126899.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
Explainable AI-based method for brain abnormality diagnostics using MRI
Hosny, M., Elshenhab, A. M. & Maged, A., Feb 2025, In: Biomedical Signal Processing and Control. 100, 107184.Research output: Contribution to journal › Article › peer-review
5 Scopus citations