| Automatic diabetic retinopathy grading system based on detecting multiple retinal lesions E Abdelmaksoud, S El-Sappagh, S Barakat, T Abuhmed, M Elmogy IEEE Access 9, 15939-15960, 2021 | 64 | 2021 |
| A fuzzy decision support system for management of breast cancer AAE Saleh, SE Barakat, AAE Awad International Journal of Advanced Computer Science and Applications 2 (3), 2011 | 56 | 2011 |
| 3d object recognition based on local and global features using point cloud library K Alhamzi, M Elmogy, S Barakat International Journal of Advancements in Computing Technology 7 (3), 43, 2015 | 52 | 2015 |
| Standardized electronic health record data modeling and persistence: A comparative review A Gamal, S Barakat, A Rezk Journal of biomedical informatics 114, 103670, 2021 | 48 | 2021 |
| Different feature selection for sentiment classification H Arafat, RM Elawady, S Barakat, NM Elrashidy International Journal of Information Science and Intelligent System 1 (3 …, 2014 | 41 | 2014 |
| A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique E AbdelMaksoud, S Barakat, M Elmogy Medical & Biological Engineering & Computing 60 (7), 2015-2038, 2022 | 35 | 2022 |
| Medical images analysis based on multilabel classification EAA Maksoud, S Barakat, M Elmogy Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, 209-245, 2019 | 30 | 2019 |
| Ontology-based electronic health record semantic interoperability: A survey E Adel, S El-Sappagh, S Barakat, M Elmogy U-healthcare monitoring systems, 315-352, 2019 | 26 | 2019 |
| Distributed electronic health record based on semantic interoperability using fuzzy ontology: a survey E Adel, S El-Sappagh, S Barakat, M Elmogy International Journal of Computers and Applications 40 (4), 223-241, 2018 | 25 | 2018 |
| A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection E AbdelMaksoud, S Barakat, M Elmogy Computers in Biology and Medicine 126, 104039, 2020 | 23 | 2020 |
| 3D object recognition based on image features: a survey K Alhamzi, M Elmogy, S Barakat International Journal of Computer and Information Technology 3 (03), 651-660, 2014 | 21 | 2014 |
| Enhancing big data value using knowledge discovery techniques M Abdrabo, M Elmogy, G Eltaweel, S Barakat IJ Information Technology and Computer Science 8 (1-12), 1-4, 2016 | 19 | 2016 |
| A comprehensive fuzzy ontology-based decision support system for Alzheimer’s disease diagnosis N Shoaip, A Rezk, S El-Sappagh, L Alarabi, S Barakat, MM Elmogy IEEE Access 9, 31350-31372, 2020 | 18 | 2020 |
| Reasoning methodologies in clinical decision support systems: A literature review N Shoaip, S El-Sappagh, S Barakat, M Elmogy U-Healthcare Monitoring Systems, 61-87, 2019 | 18 | 2019 |
| A unified fuzzy ontology for distributed electronic health record semantic interoperability E Adel, S El-Sappagh, S Barakat, M Elmogy U-Healthcare Monitoring Systems, 353-395, 2019 | 17 | 2019 |
| A tree routing protocol for cognitive radio network M Hashem, S Barakat, MA Alla Egyptian informatics journal 18 (2), 95-103, 2017 | 17 | 2017 |
| Ontology-based electronic health record semantic interoperability: A survey. U-Healthcare Monitoring Systems E Adel, S El-Sappagh, S Barakat, M Elmogy Amsterdam: Elsevier, 2019 | 16 | 2019 |
| Using rough set and ant colony optimization in feature selection H Arafat, RM Elawady, S Barakat, NM Elrashidy International Journal of Emerging Trends & Technology in Computer Science …, 2013 | 15 | 2013 |
| An extended semantic interoperability model for distributed electronic health record based on fuzzy ontology semantics E Adel, S El-Sappagh, S Barakat, JW Hu, M Elmogy Electronics 10 (14), 1733, 2021 | 14 | 2021 |
| Diabetic retinopathy grading based on a hybrid deep learning model E AbdelMaksoud, S Barakat, M Elmogy 2020 International Conference on Data Analytics for Business and Industry …, 2020 | 13 | 2020 |
