Regions matching algorithm for stereo pairs. - Mohamed El Ansari; Lhoussaine Masmoudi; L. Radouane (NSIP, 1999)

A new region matching method for stereoscopic images. - Mohamed El Ansari; Lhoussaine Masmoudi; L. Radouane (Pattern Recognit. Lett., 2000)

High resolution 3D spectral method estimation. - Brahim Aksasse; Mohamed El Ansari; Yannick Berthoumieu; Mohamed Najim (EUSIPCO, 2002)

Robust high resolution image spectral analysis. - Mohamed El Ansari; Brahim Aksasse; Yannick Berthoumieu; Mohamed Najim (ICIP (2), 2002)

A 2-D robust high-resolution frequency estimation approach. - Yannick Berthoumieu; Mohamed El Ansari; Brahim Aksasse; Marc Donias; Mohamed Najim (Signal Process., 2005)

A new regions matching for color stereo images. - Mohamed El Ansari; Lhoussaine Masmoudi; Abdelaziz Bensrhair (Pattern Recognit. Lett., 2007)

Temporal consistent fast stereo matching for advanced driver assistance systems (ADAS). - Mohamed El Ansari; Stéphane Mousset; Abdelaziz Bensrhair; George Bebis (Intelligent Vehicles Symposium, 2010)

Temporal consistent real-time stereo for intelligent vehicles. - Mohamed El Ansari; Stéphane Mousset; Abdelaziz Bensrhair (Pattern Recognit. Lett., 2010)

A real-time spatio-temporal stereo matching for road applications. - Mohamed El Ansari; Abdenbi Mazoul; Abdelaziz Bensrhair; George Bebis (ITSC, 2011)

Fast spatio-temporal stereo for intelligent transportation systems. - Abdenbi Mazoul; Mohamed El Ansari; Khalid Zebbara; George Bebis (Pattern Anal. Appl., 2014)

Complementary features for traffic sign detection and recognition. - Ayoub Ellahyani; Mohamed El Ansari (AICCSA, 2016)

Temporal consistent stereo matching approach for road applications. - Lahcen Koutti; Ilyas El Jaafari; Mohamed El Ansari (AICCSA, 2016)

Multisensors-based pedestrian detection system. - Redouan Lahmyed; Mohamed El Ansari (AICCSA, 2016)

Traffic sign detection and recognition based on random forests. - Ayoub Ellahyani; Mohamed El Ansari; Ilyas El Jaafari (Appl. Soft Comput., 2016)

Fast spatio-temporal stereo matching for advanced driver assistance systems. - Ilyas El Jaafari; Mohamed El Ansari; Lahcen Koutti; Abdenbi Mazoul; Ayoub Ellahyani (Neurocomputing, 2016)

Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos. - Said Charfi; Mohamed El Ansari (ATSIP, 2017)

A new designed descriptor for road sign recognition. - Ayoub Ellahyani; Mohamed El Ansari (ATSIP, 2017)

A fully automated ulcer detection system for wireless capsule endoscopy images. - Meryem Souaidi; Abdelkaher Ait Abdelouahad; Mohamed El Ansari (ATSIP, 2017)

Gastrointestinal tract bleeding detection from wireless capsule endoscopy videos. - Said Charfi; Mohamed El Ansari (ICC, 2017)

Computer-aided system for Polyp detection in wireless capsule endoscopy images. - Mohamed El Ansari; Said Charfi (WINCOM, 2017)

Mean shift and log-polar transform for road sign detection. - Ayoub Ellahyani; Mohamed El Ansari (Multim. Tools Appl., 2017)

Fast edge-based stereo matching approach for road applications. - Ilyas El Jaafari; Mohamed El Ansari; Lahcen Koutti (Signal Image Video Process., 2017)

A Hybrid Pedestrian Detection System based on Visible Images and LIDAR Data. - Mohamed El Ansari; Redouan Lahmyed; Alain Trémeau (VISIGRAPP (5: VISAPP), 2018)

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)

Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images. - Said Charfi; Mohamed El Ansari (Multim. Tools Appl., 2018)

Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images. - Said Charfi; Mohamed El Ansari; Ilangko Balasingham (IET Image Process., 2019)

Multi-scale analysis of ulcer disease detection from WCE images. - Meryem Souaidi; Mohamed El Ansari (IET Image Process., 2019)

A new thermal infrared and visible spectrum images-based pedestrian detection system. - Redouan Lahmyed; Mohamed El Ansari; Ayoub Ellahyani (Multim. Tools Appl., 2019)

Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images. - Meryem Souaidi; Abdelkaher Ait Abdelouahad; Mohamed El Ansari (Multim. Tools Appl., 2019)

GastroNet: Abnormalities Recognition in Gastrointestinal Tract through Endoscopic Imagery using Deep Learning Techniques. - Samira Lafraxo; Mohamed El Ansari (WINCOM, 2020)

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

A locally based feature descriptor for abnormalities detection. - Said Charfi; Mohamed El Ansari (Soft Comput., 2020)

CoviNet: Automated COVID-19 Detection from X-rays using Deep Learning Techniques. - Samira Lafraxo; Mohamed El Ansari (CIST, 2021)

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

Detection of abnormalities in wireless capsule endoscopy based on extreme learning machine. - Ayoub Ellahyani; Ilyas El Jaafari; Said Charfi; Mohamed El Ansari (Signal Image Video Process., 2021)

Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNs. - Anass Garbaz; Samira Lafraxo; Said Charfi; Mohamed El Ansari; Lahcen Koutti (CIBCB, 2022)

Melanoma Lesion Recognition using Deep Convolutional Neural Network and Global Average Pooling. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (CommNet, 2022)

Convolutional Neural Network for Automated Colorectal Polyp Semantic Segmentation on Colonoscopy Frames. - Hamza Benhida; Meryem Souaidi; Mohamed El Ansari (WINCOM, 2022)

PedVis-VGG-16: A Fine-tuned deep convolutional neural network for pedestrian image classifications. - Mahassine Defaoui; Lahcen Koutti; Mohamed El Ansari; Redouan Lahmyed; Lhoussaine Masmoudi (WINCOM, 2022)

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)

A New Automated Polyp Detection Network MP-FSSD in WCE and Colonoscopy Images Based Fusion Single Shot Multibox Detector and Transfer Learning. - Meryem Souaidi; Mohamed El Ansari (IEEE Access, 2022)

MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images. - Samira Lafraxo; Mohamed El Ansari; Said Charfi (Multim. Tools Appl., 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)

Bleeding Segmentation Based on a Bleeding Feature Engagement Module in Wireless Capsule Endoscopy. - Anass Garbaz; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (SITIS, 2023)

GP-SSD: Real-Time Automatic Detection of Polyp Diseases from Gastrointestinal Endoscopic Images. - Meryem Souaidi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (SITIS, 2023)

GastroSegNet: Polyp Segmentation using Colonoscopic Images Based on AttentionU-net Architecture. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (WINCOM, 2023)

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)

Deep residual U-Net for automatic detection of Moroccan coastal upwelling using SST images. - Mohamed Snoussi; Ayoub Tamim; Salma El Fellah; Mohamed El Ansari (Multim. Tools Appl., 2023)

Fine-tuned deep neural networks for polyp detection in colonoscopy images. - Ayoub Ellahyani; Ilyas El Jaafari; Said Charfi; Mohamed El Ansari (Pers. Ubiquitous Comput., 2023)

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

Bleeding Segmentation Based on a U-Formed Network with Separable Contextual Feature-Guided in Wireless Capsule Endoscopy Images. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (WINCOM, 2024)

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)

Computer-aided system for bleeding detection in WCE images based on CNN-GRU network. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (Multim. Tools Appl., 2024)

Modified residual attention network for abnormalities segmentation and detection in WCE images. - Said Charfi; Mohamed El Ansari; Lahcen Koutti; Ayoub Ellahyani; Ilyas El Jaafari (Soft Comput., 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)

Abnormalities detection from wireless capsule endoscopy images based on embedding learning with triplet loss. - Said Charfi; Mohamed El Ansari; Lahcen Koutti; Ayoub Ellahyani; Ilyas El Jaafari (Multim. Tools Appl., 2024)

A new hybrid approach for pneumonia detection using chest X-rays based on ACNN-LSTM and attention mechanism. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (Multim. Tools Appl., 2024)

Feature Pyramid Network Based Spatial Attention and Cross-Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images. - Said Charfi; Mohamed El Ansari; Lahcen Koutti; Ilyas El Jaafari; Ayoub Ellahyani (Int. J. Imaging Syst. Technol., 2024)

DMFC-UFormer: Depthwise multi-scale factorized convolution transformer-based UNet for medical image segmentation. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (Biomed. Signal Process. Control., 2025)

MLFE-UNet: Multi-Level Feature Extraction Transformer-Based UNet for Gastrointestinal Disease Segmentation. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun; Samira Lafraxo (Int. J. Imaging Syst. Technol., 2025)

GSAC-UFormer: Groupwise Self-Attention Convolutional Transformer-Based UNet for Medical Image Segmentation. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (Cogn. Comput., 2025)

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)

R2A-UNET: double attention mechanisms with residual blocks for enhanced MRI image segmentation. - Noura Bentaher; Samira Lafraxo; Younes Kabbadj; Mohamed Ben Salah; Mohamed El Ansari; Soukaina Wakrim (Multim. Tools Appl., 2025)