Bouchaib Cherradi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 30

Top Topics

Convolutional Neural Networks

Image Segmentation

Top Venues

Multim. Tools Appl.

Int. J. Online Biomed. Eng.

Publications

Soufiane Hamida, Driss Lamrani, Mohammed Amine Bouqentar, Oussama El Gannour, Bouchaib Cherradi
An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification. Int. J. Online Biomed. Eng. 20 (2) (2024)
Shawki Saleh, Bouchaib Cherradi, Oussama El Gannour, Soufiane Hamida, Omar Bouattane
Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique. Multim. Tools Appl. 83 (11) (2024)
Sara Laghmati, Soufiane Hamida, Khadija Hicham, Bouchaib Cherradi, Amal Tmiri
An improved breast cancer disease prediction system using ML and PCA. Multim. Tools Appl. 83 (11) (2024)
Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, Hassan Ouajji, Abdelhadi Raihani
Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks. Multim. Tools Appl. 82 (15) (2023)
Hicham Moujahid, Bouchaib Cherradi, Oussama El Gannour, Wamda Abdelrahman Elhag Nagmeldin, Abdelzahir Abdelmaboud, Mohammed Al-Sarem, Lhoussain Bahatti, Faisal Saeed, Mohammed Hadwan
A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images. Comput. Syst. Sci. Eng. 46 (2) (2023)
Abdeljalil El-Ibrahimi, Oumaima Terrada, Oussama El Gannour, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane
Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction. Int. J. Online Biomed. Eng. 19 (15) (2023)
Wassima Moutaouakil, Soufiane Hamida, Bouchaib Cherradi, Mohammed Jebbari, Shawki Saleh, Abdelhadi Raihani
Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction. NISS (2023)
Driss Lamrani, Soufiane Hamida, Mohammed Amine Bouqentar, Mohamed Amine Mahjoubi, Bouchaib Cherradi, Lhoussain Bahatti
U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging. NISS (2023)
Mohamed Amine Mahjoubi, Soufiane Hamida, Bouchaib Cherradi, Oussama El Gannour, Ahmed El Abbassi, Abdelhadi Raihani
Classifying Brain Tumors using Convolutional Neural Networks on MRI Scans. NISS (2023)
Soufiane Hamida, Bouchaib Cherradi, Oussama El Gannour, Abdelhadi Raihani, Hassan Ouajji
Cursive Arabic handwritten word recognition system using majority voting and k-NN for feature descriptor selection. Multim. Tools Appl. 82 (26) (2023)
Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri
NSL-MHA-CNN: A Novel CNN Architecture for Robust Diabetic Retinopathy Prediction Against Adversarial Attacks. IEEE Access 10 (2022)
Noureddine Ait Ali, Ahmed El Abbassi, Bouchaib Cherradi
The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation. J. Supercomput. 78 (2) (2022)
Fatima-Ezzahra Ait-Bennacer, Abdessadek Aaroud, Khalid Akodadi, Bouchaib Cherradi
Applying Deep Learning and Computer Vision Techniques for an e-Sport and Smart Coaching System Using a Multiview Dataset: Case of Shotokan Karate. Int. J. Online Biomed. Eng. 18 (12) (2022)
Asmae Ouhmida, Abdelhadi Raihani, Bouchaib Cherradi, Oumaima Terrada
A Novel Approach for Parkinson's Disease Detection Based on Voice Classification and Features Selection Techniques. Int. J. Online Biomed. Eng. 17 (10) (2021)
Oussama El Gannour, Soufiane Hamida, Bouchaib Cherradi, Abdelhadi Raihani, Hicham Moujahid
Performance Evaluation of Transfer Learning Technique for Automatic Detection of Patients with COVID-19 on X-Ray Images. ICECOCS (2020)
Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, Hassan Ouajji, Abdelhadi Raihani
Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19. ICECOCS (2020)
Hicham Moujahid, Bouchaib Cherradi, Mohammed Al-Sarem, Lhoussain Bahatti
Diagnosis of COVID-19 Disease Using Convolutional Neural Network Models Based Transfer Learning. IRICT (2020)
Hicham Moujahid, Bouchaib Cherradi, Lhoussain Bahatti
Convolutional Neural Networks for Multimodal Brain MRI Images Segmentation: A Comparative Study. SADASC (2020)
Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri
Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis. NISS (2020)
Oumaima Terrada, Bouchaib Cherradi, Soufiane Hamida, Abdelhadi Raihani, Hicham Moujahid, Omar Bouattane
Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques. CommNet (2020)
Sara Laghmati, Bouchaib Cherradi, Amal Tmiri, Othmane Daanouni, Soufiane Hamida
Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques. CommNet (2020)
Soufiane Hamida, Bouchaib Cherradi, Oumaima Terrada, Abdelhadi Raihani, Hassan Ouajji, Sara Laghmati
A Novel Feature Extraction System for Cursive Word Vocabulary Recognition using Local Features Descriptors and Gabor Filter. CommNet (2020)
Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi
Parallel Implementation and Performance Evaluation of some Supervised Clustering Algorithms for MRI Images Segmentation. BDIoT (2019)
Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri
Predicting diabetes diseases using mixed data and supervised machine learning algorithms. SCA (2019)
Sara Laghmati, Amal Tmiri, Bouchaib Cherradi
Machine Learning based System for Prediction of Breast Cancer Severity. WINCOM (2019)
Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi
GPU fuzzy c-means algorithm implementations: performance analysis on medical image segmentation. Multim. Tools Appl. 77 (16) (2018)
Oumaima Terrada, Bouchaib Cherradi, Abdelhadi Raihani, Omar Bouattane
A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors. ICECOCS (2018)
Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi
New parallel hybrid implementation of bias correction fuzzy C-means algorithm. ATSIP (2017)
N. Aitali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi
GPU based implementation of spatial fuzzy c-means algorithm for image segmentation. CIST (2016)
N. Aitali, Bouchaib Cherradi, Omar Bouattane, Mohamed Youssfi, Abdelhadi Raihani
New fine-grained clustering algorithm on GPU architecture for bias field correction and MRI image segmentation. ICM (2015)
Omar Bouattane, Bouchaib Cherradi, Mohamed Youssfi, Mohamed O. Bensalah
Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer. Parallel Comput. 37 (4-5) (2011)