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ORCIDMohamed El Ansari
Person information
- affiliation: Faculty of Sciences, Moulay Ismail University, Meknès, Morocco
- affiliation (former): University of Ibnou Zohr, Agadir, Morocco
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2020 – today
- 2024
[j33]Said Charfi
, Mohamed El Ansari, Lahcen Koutti, Ilyas El Jaafari, Ayoub Ellahyani:
Feature Pyramid Network Based Spatial Attention and Cross-Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images. Int. J. Imaging Syst. Technol. 34(6) (2024)- [j32]Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti:
Computer-aided system for bleeding detection in WCE images based on CNN-GRU network. Multim. Tools Appl. 83(7): 21081-21106 (2024) - [j31]Yassine Oukdach, Zakaria Kerkaou, Mohamed El Ansari, Lahcen Koutti, Ahmed Fouad El Ouafdi, Thomas de Lange:
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. Multim. Tools Appl. 83(23): 63635-63654 (2024) - [j30]Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti:
A new hybrid approach for pneumonia detection using chest X-rays based on ACNN-LSTM and attention mechanism. Multim. Tools Appl. 83(29): 73055-73077 (2024) - [j29]Said Charfi, Mohamed El Ansari, Lahcen Koutti, Ayoub Ellahyani, Ilyas El Jaafari:
Abnormalities detection from wireless capsule endoscopy images based on embedding learning with triplet loss. Multim. Tools Appl. 83(29): 73079-73100 (2024) - [j28]Said Charfi, Mohamed El Ansari, Lahcen Koutti, Ayoub Ellahyani, Ilyas El Jaafari:
Modified residual attention network for abnormalities segmentation and detection in WCE images. Soft Comput. 28(9-10): 6923-6936 (2024) - [c29]Anass Garbaz, Yassine Oukdach, Said Charfi, Mohamed El Ansari, Lahcen Koutti, Mouna Salihoun:
Bleeding Segmentation Based on a U-Formed Network with Separable Contextual Feature-Guided in Wireless Capsule Endoscopy Images. WINCOM 2024: 1-6 - [c28]Zakaria Kerkaou, Yassine Oukdach, Mohamed El Ansari, Lahcen Koutti, Samira Lafraxo, Meryem Souaidi:
VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities. WINCOM 2024: 1-5 - [c27]Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti, Zakaria Kerkaou, Meryem Souaidi:
AttDenseUnet : Segmentation of Polyps from Colonoscopic Images Based on Attention-DenseNet-Unet Architecture. WINCOM 2024: 1-6 - 2023
- [j27]Mohamed Snoussi, Ayoub Tamim, Salma El Fellah, Mohamed El Ansari:
Deep residual U-Net for automatic detection of Moroccan coastal upwelling using SST images. Multim. Tools Appl. 82(5): 7491-7507 (2023) - [j26]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) - [j25]Zakaria Kerkaou, Mohamed El Ansari, Lhoussaine Masmoudi, Redouan Lahmyed:
Omnidirectional spatio-temporal matching based on machine learning. Soft Comput. 27(9): 5911-5922 (2023) - [c26]Meryem Souaidi, Mohamed El Ansari, Lahcen Koutti, Mouna Salihoun:
GP-SSD: Real-Time Automatic Detection of Polyp Diseases from Gastrointestinal Endoscopic Images. SITIS 2023: 287-293 - [c25]Anass Garbaz, Said Charfi, Mohamed El Ansari, Lahcen Koutti, Mouna Salihoun:
Bleeding Segmentation Based on a Bleeding Feature Engagement Module in Wireless Capsule Endoscopy. SITIS 2023: 294-298 - [c24]Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti:
GastroSegNet: Polyp Segmentation using Colonoscopic Images Based on AttentionU-net Architecture. WINCOM 2023: 1-6 - [c23]Yassine Oukdach, Zakaria Kerkaou, Mohamed El Ansari, Lahcen Koutti, Ahmed Fouad El Ouafdi:
ConV-ViT: Feature Fusion-based Detection of Gastrointestinal Abnormalities using CNN and ViT in WCE Images. WINCOM 2023: 1-6 - 2022
- [j24]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) - [j23]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) - [j22]Redouan Lahmyed, Mohamed El Ansari, Zakaria Kerkaou:
A novel visible spectrum images-based pedestrian detection and tracking system for surveillance in non-controlled environments. Multim. Tools Appl. 81(27): 39275-39309 (2022) - [j21]Redouan Lahmyed, Mohamed El Ansari, Zakaria Kerkaou:
Automatic road sign detection and recognition based on neural network. Soft Comput. 26(4): 1743-1764 (2022) - [c22]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 - [c21]Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti:
Melanoma Lesion Recognition using Deep Convolutional Neural Network and Global Average Pooling. CommNet 2022: 1-6 - [c20]Hamza Benhida, Meryem Souaidi, Mohamed El Ansari:
Convolutional Neural Network for Automated Colorectal Polyp Semantic Segmentation on Colonoscopy Frames. WINCOM 2022: 1-5 - [c19]Mahassine Defaoui, Lahcen Koutti, Mohamed El Ansari, Redouan Lahmyed, Lhoussaine Masmoudi:
PedVis-VGG-16: A Fine-tuned deep convolutional neural network for pedestrian image classifications. WINCOM 2022: 1-6 - [c18]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 - 2021
- [j20]Zakaria Kerkaou, Mohamed El Ansari, Lhoussaine Masmoudi, Redouan Lahmyed:
Dense spatio-temporal stereo matching for intelligent driving systems. IET Image Process. 15(3): 715-723 (2021) - [j19]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) - [c17]Samira Lafraxo, Mohamed El Ansari:
CoviNet: Automated COVID-19 Detection from X-rays using Deep Learning Techniques. CIST 2021: 489-494 - 2020
- [j18]Zakaria Kerkaou, Mohamed El Ansari:
Support vector machines based stereo matching method for advanced driver assistance systems. Multim. Tools Appl. 79(37-38): 27039-27055 (2020) - [j17]Said Charfi, Mohamed El Ansari:
A locally based feature descriptor for abnormalities detection. Soft Comput. 24(6): 4469-4481 (2020) - [c16]Samira Lafraxo, Mohamed El Ansari:
GastroNet: Abnormalities Recognition in Gastrointestinal Tract through Endoscopic Imagery using Deep Learning Techniques. WINCOM 2020: 1-5
2010 – 2019
- 2019
- [j16]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) - [j15]Meryem Souaidi, Mohamed El Ansari:
Multi-scale analysis of ulcer disease detection from WCE images. IET Image Process. 13(12): 2233-2244 (2019) - [j14]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) - [j13]Redouan Lahmyed, Mohamed El Ansari, Ayoub Ellahyani:
A new thermal infrared and visible spectrum images-based pedestrian detection system. Multim. Tools Appl. 78(12): 15861-15885 (2019) - 2018
- [j12]Zakaria Kerkaou, Nawal Alioua, Mohamed El Ansari, Lhoussaine Masmoudi:
Edge points-based stereo matching approach for omnidirectional images. J. Electronic Imaging 27(05): 053015 (2018) - [j11]Redouan Lahmyed, Mohamed El Ansari, Alain Trémeau, Zakaria Kerkaou:
Camera-light detection and ranging data fusion-based system for pedestrian detection. J. Electronic Imaging 27(06): 063011 (2018) - [j10]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) - [c15]Mohamed El Ansari, Redouan Lahmyed, Alain Trémeau:
A Hybrid Pedestrian Detection System based on Visible Images and LIDAR Data. VISIGRAPP (5: VISAPP) 2018: 325-334 - [c14]Zakaria Kerkaou, Mohamed El Ansari, Lhoussaine Masmoudi:
Fast spatio-temporal stereo matching method for omnidirectional images. WINCOM 2018: 1-6 - 2017
- [j9]Ayoub Ellahyani, Mohamed El Ansari:
Mean shift and log-polar transform for road sign detection. Multim. Tools Appl. 76(22): 24495-24513 (2017) - [j8]Ilyas El Jaafari, Mohamed El Ansari, Lahcen Koutti:
Fast edge-based stereo matching approach for road applications. Signal Image Video Process. 11(2): 267-274 (2017) - [c13]Said Charfi, Mohamed El Ansari:
Computer-aided diagnosis system for ulcer detection in wireless capsule endoscopy videos. ATSIP 2017: 1-5 - [c12]Ayoub Ellahyani, Mohamed El Ansari:
A new designed descriptor for road sign recognition. ATSIP 2017: 1-6 - [c11]Meryem Souaidi, Abdelkaher Ait Abdelouahad, Mohamed El Ansari:
A fully automated ulcer detection system for wireless capsule endoscopy images. ATSIP 2017: 1-6 - [c10]Said Charfi, Mohamed El Ansari:
Gastrointestinal tract bleeding detection from wireless capsule endoscopy videos. ICC 2017: 111:1-111:5 - [c9]Mohamed El Ansari, Said Charfi:
Computer-aided system for Polyp detection in wireless capsule endoscopy images. WINCOM 2017: 1-6 - 2016
- [j7]Ayoub Ellahyani, Mohamed El Ansari, Ilyas El Jaafari:
Traffic sign detection and recognition based on random forests. Appl. Soft Comput. 46: 805-815 (2016) - [j6]Ilyas El Jaafari, Mohamed El Ansari, Lahcen Koutti, Abdenbi Mazoul, Ayoub Ellahyani:
Fast spatio-temporal stereo matching for advanced driver assistance systems. Neurocomputing 194: 24-33 (2016) - [c8]Ayoub Ellahyani, Mohamed El Ansari:
Complementary features for traffic sign detection and recognition. AICCSA 2016: 1-6 - [c7]Lahcen Koutti, Ilyas El Jaafari, Mohamed El Ansari:
Temporal consistent stereo matching approach for road applications. AICCSA 2016: 1-6 - [c6]Redouan Lahmyed, Mohamed El Ansari:
Multisensors-based pedestrian detection system. AICCSA 2016: 1-4 - 2014
- [j5]Abdenbi Mazoul, Mohamed El Ansari, Khalid Zebbara, George Bebis:
Fast spatio-temporal stereo for intelligent transportation systems. Pattern Anal. Appl. 17(1): 211-221 (2014) - 2011
- [c5]Mohamed El Ansari, Abdenbi Mazoul, Abdelaziz Bensrhair, George Bebis:
A real-time spatio-temporal stereo matching for road applications. ITSC 2011: 1483-1488 - 2010
- [j4]Mohamed El Ansari, Stéphane Mousset, Abdelaziz Bensrhair:
Temporal consistent real-time stereo for intelligent vehicles. Pattern Recognit. Lett. 31(11): 1226-1238 (2010) - [c4]Mohamed El Ansari, Stéphane Mousset, Abdelaziz Bensrhair, George Bebis:
Temporal consistent fast stereo matching for advanced driver assistance systems (ADAS). Intelligent Vehicles Symposium 2010: 825-831
2000 – 2009
- 2007
- [j3]Mohamed El Ansari, Lhoussaine Masmoudi, Abdelaziz Bensrhair:
A new regions matching for color stereo images. Pattern Recognit. Lett. 28(13): 1679-1687 (2007) - 2005
- [j2]Yannick Berthoumieu, Mohamed El Ansari, Brahim Aksasse, Marc Donias, Mohamed Najim:
A 2-D robust high-resolution frequency estimation approach. Signal Process. 85(6): 1165-1188 (2005) - 2002
- [c3]Brahim Aksasse, Mohamed El Ansari, Yannick Berthoumieu, Mohamed Najim:
High resolution 3D spectral method estimation. EUSIPCO 2002: 1-4 - [c2]Mohamed El Ansari, Brahim Aksasse, Yannick Berthoumieu, Mohamed Najim:
Robust high resolution image spectral analysis. ICIP (2) 2002: 805-808 - 2000
- [j1]Mohamed El Ansari, Lhoussaine Masmoudi, L. Radouane:
A new region matching method for stereoscopic images. Pattern Recognit. Lett. 21(4): 283-294 (2000)
1990 – 1999
- 1999
- [c1]Mohamed El Ansari, Lhoussaine Masmoudi, L. Radouane:
Regions matching algorithm for stereo pairs. NSIP 1999: 437-441
Coauthor Index
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