Fast spatio-temporal stereo matching method for omnidirectional images. - Zakaria Kerkaou; Mohamed El Ansari; Lhoussaine Masmoudi (WINCOM, 2018)

Edge points-based stereo matching approach for omnidirectional images. - Zakaria Kerkaou; Nawal Alioua; Mohamed El Ansari; Lhoussaine Masmoudi (J. Electronic Imaging, 2018)

Camera-light detection and ranging data fusion-based system for pedestrian detection. - Redouan Lahmyed; Mohamed El Ansari; Alain Trémeau; Zakaria Kerkaou (J. Electronic Imaging, 2018)

Support vector machines based stereo matching method for advanced driver assistance systems. - Zakaria Kerkaou; Mohamed El Ansari (Multim. Tools Appl., 2020)

Dense spatio-temporal stereo matching for intelligent driving systems. - Zakaria Kerkaou; Mohamed El Ansari; Lhoussaine Masmoudi; Redouan Lahmyed (IET Image Process., 2021)

Gastrointestinal diseases classification based on deep learning and transfer learning mechanism. - Yassine Oukdach; Zakaria Kerkaou; Mohamed El Ansari; Lahcen Koutti; Ahmed Fouad El Ouafdi (WINCOM, 2022)

Automatic road sign detection and recognition based on neural network. - Redouan Lahmyed; Mohamed El Ansari; Zakaria Kerkaou (Soft Comput., 2022)

A novel visible spectrum images-based pedestrian detection and tracking system for surveillance in non-controlled environments. - Redouan Lahmyed; Mohamed El Ansari; Zakaria Kerkaou (Multim. Tools Appl., 2022)

ConV-ViT: Feature Fusion-based Detection of Gastrointestinal Abnormalities using CNN and ViT in WCE Images. - Yassine Oukdach; Zakaria Kerkaou; Mohamed El Ansari; Lahcen Koutti; Ahmed Fouad El Ouafdi (WINCOM, 2023)

Omnidirectional spatio-temporal matching based on machine learning. - Zakaria Kerkaou; Mohamed El Ansari; Lhoussaine Masmoudi; Redouan Lahmyed (Soft Comput., 2023)

VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities. - Zakaria Kerkaou; Yassine Oukdach; Mohamed El Ansari; Lahcen Koutti; Samira Lafraxo; Meryem Souaidi (WINCOM, 2024)

AttDenseUnet : Segmentation of Polyps from Colonoscopic Images Based on Attention-DenseNet-Unet Architecture. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti; Zakaria Kerkaou; Meryem Souaidi (WINCOM, 2024)

ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism. - Yassine Oukdach; Zakaria Kerkaou; Mohamed El Ansari; Lahcen Koutti; Ahmed Fouad El Ouafdi; Thomas de Lange (Multim. Tools Appl., 2024)

SEDARU-net: a squeeze-excitation dilated based residual U-Net with attention mechanism for automatic melanoma lesion segmentation. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti; Zakaria Kerkaou; Meryem Souaidi (Multim. Tools Appl., 2025)