A Rule-Based Expert System for Diagnosis of Heart Diseases. - Abdel-Badeeh M. Salem; Mohamed Roushdy 001; Rania A. Hodhod (Egypt. Comput. Sci. J., 2001)

Rough sets Approach for Data Mining in Medicine. - Abdel-Badeeh M. Salem; Mohamed Roushdy 001; Khaled Ahmed Nagaty; Safia Abbas (Egypt. Comput. Sci. J., 2001)

Rough Sets Approach for Predictive Rules to Thrombosis Disease. - Abdel-Badeeh M. Salem; Mohamed Roushdy 001; Safia A. Mahmoud (Egypt. Comput. Sci. J., 2002)

Methodology for Medical Diagnosis based on Fuzzy Logic. - Mohamed A. Madkour; Mohamed Roushdy 001 (Egypt. Comput. Sci. J., 2004)

A Grid based Medical Image Retrieval System using Alchemi. - F. Maghraby; Hossam El Deen Mostafa Faheem; Mohamed Roushdy 001; M. Amoon (ICEIS (1), 2013)

Automated cell nuclei segmentation for breast fine needle aspiration cytology. - Yasmeen M. George; Bassant M. Bagoury; Hala Helmy Zayed; Mohamed Ismail Roushdy (Signal Process., 2013)

Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images. - Yasmeen M. George; Hala Helmy Zayed; Mohamed Ismail Roushdy; Bassant Mohamed Elbagoury (IEEE Syst. J., 2014)

Exploiting Existed Medical Ontologies to Build Domain Ontology for Hepatobiliary System Diseases. - Galal Al-Marzoqi; Marco Alfonse; Ibrahim F. Moawad; Mohamed Roushdy 001 (AISI, 2016)

Towards Feature Selection for Cascade Growth Prediction on Twitter. - Sarah Elsharkawy; Ghada Hassan; Tarek Nabhan; Mohamed Roushdy 001 (INFOS, 2016)

Extended Case-Based Behavior Control for Multi-Humanoid Robots. - Meteb M. Altaf; Bassant Mohamed Elbagoury; Fahad Alraddady; Mohamed Roushdy 001 (Int. J. Humanoid Robotics, 2016)

Machine Learning Techniques for Intelligent Access Control. - Wael H. Khalifa; Mohamed Ismail Roushdy; Abdel-Badeeh M. Salem (New Approaches in Intelligent Image Analysis, 2016)

Studying the Dissemination of the K-core Influence in Twitter Cascades. - Sarah Elsharkawy; Ghada Hassan; Tarek Nabhan; Mohamed Roushdy 001 (AIAI, 2018)

Feature Extraction and Analysis for Lung Nodule Classification using Random Forest. - Nada S. El-Askary; Mohammed A.-M. Salem; Mohamed Ismail Roushdy (ICSIE, 2019)

Masked SIFT with align-based refinement for contactless palmprint recognition. - Ahmed S. ELSayed; Hala M. Ebeid; Mohamed Ismail Roushdy; Zaki Taha Fayed (IET Biom., 2019)

Robust palm and knuckle ROI extraction in unconstrained environment. - Ahmed S. ELSayed; Hala M. Ebeid; Mohamed Roushdy 001; Zaki Taha Fayed (Pattern Anal. Appl., 2019)

Modelling meme adoption pattern on online social networks. - Sarah Elsharkawy; Ghada Hassan; Tarek Nabhan; Mohamed Roushdy 001 (Web Intell., 2019)

Metadata Extraction for Low-Quality Semi-structured Spreadsheets. - Arwa Awad; Rania Elgohary; Ibrahim F. Moawad; Mohamed Roushdy 001 (AICV, 2020)

Reversible Watermarking for Protecting Patient's Data Privacy Using an EPR-Generated QR Code. - Alaa H. ElSaadawy; Ahmed S. ELSayed; Maryam N. Al-Berry; Mohamed Roushdy 001 (AICV, 2020)

Protection of Patients' Data Privacy by Tamper Detection and Localization in Watermarked Medical Images. - Alaa H. ElSaadawy; Ahmed S. ELSayed; Maryam N. Al-Berry; Mohamed Roushdy 001 (AISI, 2020)

Comparative study for 8 computational intelligence algorithms for human identification. - Shaymaa Adnan Abdulrahman; Wael Khalifa; Mohamed Roushdy 001; Abdel-Badeeh M. Salem (Comput. Sci. Rev., 2020)

Multi-view Convolutional Neural Network for lung nodule false positive reduction. - Salsabil Amin El-Regaily; Mohammed Abdel-Megeed Salem; Mohamed Hassan Abdel Aziz; Mohamed Ismail Roushdy (Expert Syst. Appl., 2020)

Using residual images with BSIF for iris liveness detection. - Manar Ramzy Dronky; Wael Khalifa; Mohamed Roushdy 001 (Expert Syst. Appl., 2021)

Classification of breast cancer using microarray gene expression data: A survey. - Muhammed Abd-Elnaby; Marco Alfonse; Mohamed Roushdy 001 (J. Biomed. Informatics, 2021)

PUStackNGly: Positive-Unlabeled and Stacking Learning for N-Linked Glycosylation Site Prediction. - Alhasan Alkuhlani; Walaa K. Gad; Mohamed Roushdy 001; Abdel-Badeeh M. Salem (IEEE Access, 2022)

PTG-PLM: Predicting Post-Translational Glycosylation and Glycation Sites Using Protein Language Models and Deep Learning. - Alhasan Alkuhlani; Walaa K. Gad; Mohamed Roushdy 001; Michael Gr. Voskoglou; Abdel-Badeeh M. Salem (Axioms, 2022)

Features processing for random forest optimization in lung nodule localization. - Nada S. El-Askary; Mohammed A.-M. Salem; Mohamed Ismail Roushdy (Expert Syst. Appl., 2022)

GNNGLY: Graph Neural Networks for Glycan Classification. - Alhasan Alkuhlani; Walaa K. Gad; Mohamed Ismail Roushdy; Abdel-Badeeh M. Salem (IEEE Access, 2023)

A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform. - Bassant Mohamed Elbagoury; Luige Vladareanu; Victor Vladareanu; Abdel-Badeeh M. Salem; Ana-Maria Travediu; Mohamed Ismail Roushdy (Sensors, 2023)

Biometric systems for identification and verification scenarios using spatial footsteps components. - Ayman Iskandar; Marco Alfonse; Mohamed Roushdy 001; El-Sayed M. El-Horbaty (Neural Comput. Appl., 2024)

Optimizing anomaly-based attack detection using classification machine learning. - Hany Abdelghany Gouda; Mohamed Abdelslam Ahmed; Mohamed Ismail Roushdy (Neural Comput. Appl., 2024)

Attention-Driven Transfer Learning Model for Improved IoT Intrusion Detection. - Salma Abdelhamid; Islam Hegazy; Mostafa Aref; Mohamed Roushdy 001 (Big Data Cogn. Comput., 2024)