Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer. - Omar Bouattane; Bouchaib Cherradi; Mohamed Youssfi; Mohamed O. Bensalah (Parallel Comput., 2011)

New fine-grained clustering algorithm on GPU architecture for bias field correction and MRI image segmentation. - N. Aitali; Bouchaib Cherradi; Omar Bouattane; Mohamed Youssfi; Abdelhadi Raihani (ICM, 2015)

GPU based implementation of spatial fuzzy c-means algorithm for image segmentation. - N. Aitali; Bouchaib Cherradi; Ahmed El Abbassi; Omar Bouattane; Mohamed Youssfi (CIST, 2016)

New parallel hybrid implementation of bias correction fuzzy C-means algorithm. - Noureddine Ait Ali; Bouchaib Cherradi; Ahmed El Abbassi; Omar Bouattane; Mohamed Youssfi (ATSIP, 2017)

A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors. - Oumaima Terrada; Bouchaib Cherradi; Abdelhadi Raihani; Omar Bouattane (ICECOCS, 2018)

GPU fuzzy c-means algorithm implementations: performance analysis on medical image segmentation. - Noureddine Ait Ali; Bouchaib Cherradi; Ahmed El Abbassi; Omar Bouattane; Mohamed Youssfi (Multim. Tools Appl., 2018)

Parallel Implementation and Performance Evaluation of some Supervised Clustering Algorithms for MRI Images Segmentation. - Noureddine Ait Ali; Bouchaib Cherradi; Ahmed El Abbassi; Omar Bouattane; Mohamed Youssfi (BDIoT, 2019)

Predicting diabetes diseases using mixed data and supervised machine learning algorithms. - Othmane Daanouni; Bouchaib Cherradi; Amal Tmiri (SCA, 2019)

Machine Learning based System for Prediction of Breast Cancer Severity. - Sara Laghmati; Amal Tmiri; Bouchaib Cherradi (WINCOM, 2019)

A Novel Feature Extraction System for Cursive Word Vocabulary Recognition using Local Features Descriptors and Gabor Filter. - Soufiane Hamida; Bouchaib Cherradi; Oumaima Terrada; Abdelhadi Raihani; Hassan Ouajji; Sara Laghmati (CommNet, 2020)

Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques. - Sara Laghmati; Bouchaib Cherradi; Amal Tmiri; Othmane Daanouni; Soufiane Hamida (CommNet, 2020)

Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques. - Oumaima Terrada; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani; Hicham Moujahid; Omar Bouattane (CommNet, 2020)

Performance Evaluation of Transfer Learning Technique for Automatic Detection of Patients with COVID-19 on X-Ray Images. - Oussama El Gannour; Soufiane Hamida; Bouchaib Cherradi; Abdelhadi Raihani; Hicham Moujahid (ICECOCS, 2020)

Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19. - Soufiane Hamida; Oussama El Gannour; Bouchaib Cherradi; Hassan Ouajji; Abdelhadi Raihani (ICECOCS, 2020)

Diagnosis of COVID-19 Disease Using Convolutional Neural Network Models Based Transfer Learning. - Hicham Moujahid; Bouchaib Cherradi; Mohammed Al-Sarem; Lhoussain Bahatti (IRICT, 2020)

Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis. - Othmane Daanouni; Bouchaib Cherradi; Amal Tmiri (NISS, 2020)

Convolutional Neural Networks for Multimodal Brain MRI Images Segmentation: A Comparative Study. - Hicham Moujahid; Bouchaib Cherradi; Lhoussain Bahatti (SADASC, 2020)

A Novel Approach for Parkinson's Disease Detection Based on Voice Classification and Features Selection Techniques. - Asmae Ouhmida; Abdelhadi Raihani; Bouchaib Cherradi; Oumaima Terrada (Int. J. Online Biomed. Eng., 2021)

NSL-MHA-CNN: A Novel CNN Architecture for Robust Diabetic Retinopathy Prediction Against Adversarial Attacks. - Othmane Daanouni; Bouchaib Cherradi; Amal Tmiri (IEEE Access, 2022)

Combining CNN and Grad-Cam for COVID-19 Disease Prediction and Visual Explanation. - Hicham Moujahid; Bouchaib Cherradi; Mohammed Al-Sarem; Lhoussain Bahatti; Abou Bakr Assedik Mohammed Yahya Eljialy; Abdullah Alsaeedi; Faisal Saeed (Intell. Autom. Soft Comput., 2022)

The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation. - Noureddine Ait Ali; Ahmed El Abbassi; Bouchaib Cherradi (J. Supercomput., 2022)

Applying Deep Learning and Computer Vision Techniques for an e-Sport and Smart Coaching System Using a Multiview Dataset: Case of Shotokan Karate. - Fatima-Ezzahra Ait-Bennacer; Abdessadek Aaroud; Khalid Akodadi; Bouchaib Cherradi (Int. J. Online Biomed. Eng., 2022)

U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging. - Driss Lamrani; Soufiane Hamida; Mohammed Amine Bouqentar; Mohamed Amine Mahjoubi; Bouchaib Cherradi; Lhoussain Bahatti (NISS, 2023)

Classifying Brain Tumors using Convolutional Neural Networks on MRI Scans. - Mohamed Amine Mahjoubi; Soufiane Hamida; Bouchaib Cherradi; Oussama El Gannour; Ahmed El Abbassi; Abdelhadi Raihani (NISS, 2023)

Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction. - Wassima Moutaouakil; Soufiane Hamida; Bouchaib Cherradi; Mohammed Jebbari; Shawki Saleh; Abdelhadi Raihani (NISS, 2023)

A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images. - Hicham Moujahid; Bouchaib Cherradi; Oussama El Gannour; Wamda Abdelrahman Elhag Nagmeldin; Abdelzahir Abdelmaboud; Mohammed Al-Sarem; Lhoussain Bahatti; Faisal Saeed; Mohammed Hadwan (Comput. Syst. Sci. Eng., 2023)

Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction. - Abdeljalil El-Ibrahimi; Oumaima Terrada; Oussama El Gannour; Bouchaib Cherradi; Ahmed El Abbassi; Omar Bouattane (Int. J. Online Biomed. Eng., 2023)

Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks. - Soufiane Hamida; Oussama El Gannour; Bouchaib Cherradi; Hassan Ouajji; Abdelhadi Raihani (Multim. Tools Appl., 2023)

Cursive Arabic handwritten word recognition system using majority voting and k-NN for feature descriptor selection. - Soufiane Hamida; Bouchaib Cherradi; Oussama El Gannour; Abdelhadi Raihani; Hassan Ouajji (Multim. Tools Appl., 2023)

An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification. - Soufiane Hamida; Driss Lamrani; Mohammed Amine Bouqentar; Oussama El Gannour; Bouchaib Cherradi (Int. J. Online Biomed. Eng., 2024)

An improved breast cancer disease prediction system using ML and PCA. - Sara Laghmati; Soufiane Hamida; Khadija Hicham; Bouchaib Cherradi; Amal Tmiri (Multim. Tools Appl., 2024)

Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique. - Shawki Saleh; Bouchaib Cherradi; Oussama El Gannour; Soufiane Hamida; Omar Bouattane (Multim. Tools Appl., 2024)

Identifying learning styles in MOOCs environment through machine learning predictive modeling. - Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani (Educ. Inf. Technol., 2024)

Enhancing early detection of COVID-19 with machine learning and blood test results. - Oussama El Gannour; Soufiane Hamida; Bouchaib Cherradi; Abdelhadi Raihani (Multim. Tools Appl., 2025)

Automated end-to-end Architecture for Retinal Layers and Fluids Segmentation on OCT B-scans. - Othmane Daanouni; Bouchaib Cherradi; Amal Tmiri (Multim. Tools Appl., 2025)