| MCUa: Multi-level context and uncertainty aware dynamic deep ensemble for breast cancer histology image classification Z Senousy, MM Abdelsamea, MM Gaber, M Abdar, UR Acharya, ... IEEE Transactions on Biomedical Engineering 69 (2), 818-829, 2021 | 77 | 2021 |
| A survey on artificial intelligence in histopathology image analysis MM Abdelsamea, U Zidan, Z Senousy, MM Gaber, E Rakha, M Ilyas Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (6 …, 2022 | 57 | 2022 |
| 3E-Net: Entropy-based elastic ensemble of deep convolutional neural networks for grading of invasive breast carcinoma histopathological microscopic images Z Senousy, MM Abdelsamea, MM Mohamed, MM Gaber Entropy 23 (5), 620, 2021 | 35 | 2021 |
| AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification Z Senousy, MM Gaber, MM Abdelsamea Applied Soft Computing 146, 110666, 2023 | 11 | 2023 |
| Medical image classification using deep learning techniques and uncertainty quantification Z Senousy Birmingham City University, 2023 | 1 | 2023 |
| DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification S Chughtai, Z Senousy, A Mahany, NS Elmitwally, KN Ismail, MM Gaber, ... IEEE Open Journal of the Computer Society, 2024 | | 2024 |
| Throughput and Wasted Work in Contention Management for Software Transactional Memory Z Senousy, S Fahmy, A Fahmy ICATAS 2018, 10, 2018 | | 2018 |
| Providing QoS in contention management for software transactional memory SF Fahmy, Z Senousy, AF Amin 2017 13th International Computer Engineering Conference (ICENCO), 231-236, 2017 | | 2017 |
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City UniversityE-mail megerősítve itt: bcu.ac.uk