Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning. - Mohamed A. Kassem; Khalid M. Hosny; Mohamed M. Fouad 001 (IEEE Access, 2020)

Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet. - Khalid M. Hosny; Mohamed A. Kassem; Mohamed M. Fouad 001 (J. Digit. Imaging, 2020)

Skin melanoma classification using ROI and data augmentation with deep convolutional neural networks. - Khalid M. Hosny; Mohamed A. Kassem; Mohamed M. Fouad 001 (Multim. Tools Appl., 2020)

Refined Residual Deep Convolutional Network for Skin Lesion Classification. - Khalid M. Hosny; Mohamed A. Kassem (J. Digit. Imaging, 2022)

Explainable Transfer Learning-Based Deep Learning Model for Pelvis Fracture Detection. - Mohamed A. Kassem; Soaad M. Naguib; Hanaa M. Hamza; Mostafa M. Fouda; Mohamed K. Saleh; Khalid M. Hosny (Int. J. Intell. Syst., 2023)

Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier. - Yousef S. Alsahafi; Mohamed A. Kassem; Khalid M. Hosny (J. Big Data, 2023)

Explainable deep inherent learning for multi-classes skin lesion classification. - Khalid M. Hosny; Wael Said; Mahmoud Elmezain; Mohamed A. Kassem (Appl. Soft Comput., 2024)

A novel deep learning model for detection of inconsistency in e-commerce websites. - Mohamed A. Kassem; Amr A. Abohany; Amr A. Abd El-Mageed; Khalid M. Hosny (Neural Comput. Appl., 2024)