3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. - Zakaria Senousy; Mohammed M. Abdelsamea; Mona Mostafa Mohamed; Mohamed Medhat Gaber (Entropy, 2021)

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. - Zakaria Senousy; Mohammed M. Abdelsamea; Mohamed Medhat Gaber; Moloud Abdar; U. Rajendra Acharya; Abbas Khosravi; Saeid Nahavandi (IEEE Trans. Biomed. Eng., 2022)

A survey on artificial intelligence in histopathology image analysis. - Mohammed M. Abdelsamea; Usama Zidan; Zakaria Senousy; Mohamed Medhat Gaber; Emad Rakha; Mohammad Ilyas (WIREs Data Mining Knowl. Discov., 2022)

Medical image classification using deep learning techniques and uncertainty quantification. - Zakaria Senousy (2023)

AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. - Zakaria Senousy; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (Appl. Soft Comput., 2023)

DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification. - Suhaib Chughtai; Zakaria Senousy; Ahmed Mahany; Nouh Sabri Elmitwally; Khalid N. Ismail; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (IEEE Open J. Comput. Soc., 2024)