Beans Leaf Diseases Classification Using MobileNet Models. - Elhoucine Elfatimi; Recep Eryigit; Lahcen Elfatimi (IEEE Access, 2022)

Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions. - Elhoucine Elfatimi; Pratik Shah (ICMLA, 2024)

Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images. - Audrey Xie; Elhoucine Elfatimi; Sambuddha Ghosal; Pratik Shah (ICMLA, 2024)

Deep multi-scale convolutional neural networks for automated classification of multi-class leaf diseases in tomatoes. - Elhoucine Elfatimi; Recep Eryigit; Lahcen Elfatimi (Neural Comput. Appl., 2024)

Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection. - Elhoucine Elfatimi; Recep Eryigit; Harisu Abdullahi Shehu (Neural Comput. Appl., 2024)

Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics - yesterday, today, and tomorrow. - Elhoucine Elfatimi; Yassir Lekbach; Swayam Prakash; Lbachir BenMohamed (Frontiers Artif. Intell., 2025)

A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation. - Lahcen El Fatimi; Elhoucine Elfatimi; Hanifa Bouchaneb (CoRR, 2025)

Model Checking in Medical Imaging for Tumor Detection and Segmentation. - Elhoucine Elfatimi; Lahcen El Fatimi (CoRR, 2025)

A Novel Convolutional Neural Network-Based Framework for Complex Multiclass Brassica Seed Classification. - Elhoucine Elfatimi; Recep Eryigit; Lahcen Elfatimi (CoRR, 2025)