Domaine de Maîtrise :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA

Domaine d’intérêt :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA

Les publications :
Journal Papers : - S. Lafraxo, M. El Ansari, L Koutti, Computer-aided system for bleeding detection in WCE images based on CNN-GRU network. Multimedia Tools and Applications, 1-26, 2023. - S. Lafraxo, M. Souaidi, M. El Ansari, L Koutti, Semantic Segmentation of Digestive Abnormalities from WCE Images by Using AttResU-Net Architecture. Life 13 (3), 719, 2023. - Ayoub Ellahyani, Ilyas El Jaafari, Said Charfi, Mohamed El Ansari, Fine-tuned deep neural networks for polyp detection in colonoscopy images. Pers. Ubiquitous Comput. 27(2): 235-247, 2023. - Meryem Souaidi, Mohamed El Ansari, A New Automated Polyp Detection Network MP-FSSD in WCE and Colonoscopy Images Based Fusion Single Shot Multibox Detector and Transfer Learning. IEEE Access 10: 47124-47140, 2022. - Samira Lafraxo, Mohamed El Ansari, Said Charfi, MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images. Multim. Tools Appl. 81(11): 16021-16045, 2022. - S. Charfi, M. El Ansari, A. Ellahyani, I. El Jaafari, Ulcer and Red Lesion Detection in Wireless Capsule Endoscopy Images using CNN. Convolutional Neural Networks for Medical Image Processing Applications, 91-108, 2022. - M. Souaidi, M. El Ansari, Multi-Scale Hybrid Network for Polyp Detection in Wireless Capsule Endoscopy and Colonoscopy Images. Diagnostics, 2022. - Ayoub Ellahyani, Ilyas El Jaafari, Said Charfi, Mohamed El Ansari, Detection of abnormalities in wireless capsule endoscopy based on extreme learning machine. Signal Image Video Process. 15(5): 877-884, 2021. - Said Charfi, Mohamed El Ansari, A locally based feature descriptor for abnormalities detection. Soft Comput. 24(6): 4469-4481, 2020. - Said Charfi, Mohamed El Ansari, Ilangko Balasingham, Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy images. IET Image Process. 13(6): 1023-1030, 2019. - Meryem Souaidi, Mohamed El Ansari, Multi-scale analysis of ulcer disease detection from WCE images. IET Image Process. 13(12): 2233-2244, 2019. - Meryem Souaidi, Abdelkaher Ait Abdelouahad, Mohamed El Ansari, Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images. Multim. Tools Appl. 78(10): 13091-13108, 2019. - Said Charfi, Mohamed El Ansari, Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images. Multim. Tools Appl. 77(3): 4047-4064, 2018. Conferences : - Anass Garbaz, Samira Lafraxo, Said Charfi, Mohamed El Ansari, Lahcen Koutti, Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNs. CIBCB 2022: 1-6. - Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti, Melanoma Lesion Recognition using Deep Convolutional Neural Network and Global Average Pooling. CommNet 2022: 1-6. - Hamza Benhida, Meryem Souaidi, Mohamed El Ansari, Convolutional Neural Network for Automated Colorectal Polyp Semantic Segmentation on Colonoscopy Frames. WINCOM 2022: 1-5. - Yassine Oukdach, Zakaria Kerkaou, Mohamed El Ansari, Lahcen Koutti, Ahmed Fouad El Ouafdi, Gastrointestinal diseases classification based on deep learning and transfer learning mechanism. WINCOM 2022: 1-6. - Samira Lafraxo, Mohamed El Ansari, GastroNet: Abnormalities Recognition in Gastrointestinal Tract through Endoscopic Imagery using Deep Learning Techniques. WINCOM 2020: 1-5 - Said Charfi, Mohamed El Ansari, Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos. ATSIP 2017: 1-5 - Meryem Souaidi, Abdelkaher Ait Abdelouahad, Mohamed El Ansari, A fully automated ulcer detection system for wireless capsule endoscopy images. ATSIP 2017: 1-6 - Said Charfi, Mohamed El Ansari, Gastrointestinal tract bleeding detection from wireless capsule endoscopy videos. ICC 2017: 111:1-111:5 - Mohamed El Ansari, Said Charfi, Computer-aided system for Polyp detection in wireless capsule endoscopy images. WINCOM 2017: 1-6