Computer aided diagnosis in digital mammography using combined support vector machine and linear discriminant analyasis classification. - Mohamed A. Alolfe; Wael A. Mohamed; Abou Bakr M. Youssef; Ahmed S. Mohamed; Yasser M. Kadah (ICIP, 2009)

Computer-aided diagnosis of digital mammography images using unsupervised clustering and biclustering techniques. - Mohamed A. Alolfe; Fadhl M. Al-Akwaa; Wael A. Mohamed; Yasser M. Kadah (Computer-Aided Diagnosis, 2010)

EEG Signal Classification Using Neural Network and Support Vector Machine in Brain Computer Interface. - M. M. El Bahy; Mohamed Hosny; Wael A. Mohamed; Shawky Ibrahim (AISI, 2016)

An optimal wavelet-based multi-modality medical image fusion approach based on modified central force optimization and histogram matching. - Heba M. Elhoseny; Zeinab Z. El Kareh; Wael A. Mohamed; Ghada M. El Banby; Korany R. Mahmoud; Osama S. Faragallah; S. El-Rabaie 001; Essam I. El-Madbouly; Fathi E. Abd El-Samie (Multim. Tools Appl., 2019)

Efficient Deep Learning Algorithm for Egyptian Sign Language Recognition. - Mostafa A. Abdelrazik; Abdelhalim Zekry; Wael A. Mohamed (FRUCT, 2023)

Deep Recurrent Neural Network Approach with LSTM Structure for Hand Movement Recognition Using EMG Signals. - Hajar Y. Alimam; Wael A. Mohamed; Ayman S. Selmy (ICSIE, 2023)

Improving the diagnosis of Gastrointestinal Diseases using a modified AlexNet. - Bahaa S. Rabi; Ayman S. Selmy; Wael A. Mohamed (ICCTA, 2024)

A Comprehensive Two-Step Methodology for Automated Segmentation of Architectural Distortion in Mammograms. - Sameh E. Ibrahim; Ahmed F. Elnokrashy; Wael A. Mohamed (NILES, 2024)