Bi-perspective Fisher discrimination for single depth map upsampling: A self-learning classification-based approach. - Doaa A. Altantawy; Ahmed I. Saleh; Sherif S. Kishk (Neurocomputing, 2020)

Texture-guided depth upsampling using Bregman split: a clustering graph-based approach. - Doaa A. Altantawy; Ahmed I. Saleh; Sherif S. Kishk (Vis. Comput., 2020)

Equilibrium-based COVID-19 diagnosis from routine blood tests: A sparse deep convolutional model. - Doaa A. Altantawy; Sherif S. Kishk (Expert Syst. Appl., 2023)

Ψnet: a parallel network with deeply coupled spatial and squeezed features for segmentation of medical images. - Eman M. Elmeslimany; Sherif S. Kishk; Doaa A. Altantawy (Multim. Tools Appl., 2024)

LW-MHFI-Net: a lightweight multi-scale network for medical image segmentation based on hierarchical feature incorporation. - Yasmeen A. Kassem; Sherif S. Kishk; Mohamed A. Yakout; Doaa A. Altantawy (J. Ambient Intell. Humaniz. Comput., 2024)

DualSRA-Net: A Dual Squeezed Residual Network with Attentive Multi-scale Featuring for Different Medical Images Segmentation Tasks. - Eman M. Elmeslimany; Sherif S. Kishk; Doaa A. Altantawy (SN Comput. Sci., 2024)

Sparse deep encoded features with enhanced sinogramic red deer optimization for fault inspection in wafer maps. - Doaa A. Altantawy; Mohamed A. Yakout (J. Intell. Manuf., 2025)