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

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

MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images. - Samira Lafraxo; Mohamed El Ansari; Said Charfi (Multim. Tools Appl., 2022)

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

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)

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)

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)

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)