A Multi-scale Self-supervision Method for Improving Cell Nuclei Segmentation in Pathological Tissues. - Hesham Ali 002; Mustafa A. Alattar; Sahar Selim (MIUA, 2022)

Efficient Pipeline for Rapid Detection of Catheters and Tubes in Chest Radiographs. - Hossam Mohamed Sarhan; Hesham Ali 002; Eman Ehab; Sahar Selim; Mustafa Elattar 001 (MIUA, 2022)

Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images. - Mostafa A. Hammouda; Marwan Khaled; Hesham Ali 002; Sahar Selim; Mustafa Elattar 001 (MIUA, 2023)

Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer. - Marwan Khaled; Mostafa A. Hammouda; Hesham Ali 002; Mustafa Elattar 001; Sahar Selim (MIUA, 2023)

Enhanced Deep Learning-Based CAD System for Breast Cancer Diagnosis from Histopathology Images: Whole Slide Approach. - Omnia Salah Elassal; Rawan Ramdan Gomaa; Salma Ayman Elsayed; Ahmed Hesham Mohammed; Hesham Ali Ahmed (NILES, 2023)

Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation. - Hesham Ali 002; Idriss Tondji; Mennatullah Siam (CoRR, 2023)

Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method. - Hesham Ali 002; Mostafa A. Hammouda; Mustafa Elattar 001; Sahar Selim (IEEE Access, 2025)