Unsupervised Method based on Probabilistic Neural Network for the Segmentation of Corpus Callosum in MRI Scans. - Amal Jlassi; Khaoula ElBedoui; Walid Barhoumi; Chokri Maktouf (VISIGRAPP (4: VISAPP), 2019)

Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans. - Amal Jlassi; Khaoula ElBedoui; Walid Barhoumi; Chokri Maktouf (ICOST, 2020)

Brain Tumor Segmentation of Lower-Grade Glioma Across MRI Images Using Hybrid Convolutional Neural Networks. - Amal Jlassi; Khaoula ElBedoui; Walid Barhoumi (ICAART (2), 2023)

Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques. - Amal Jlassi; Amel Omri; Khaoula ElBedoui; Walid Barhoumi (ICAART (Revised Selected Paper), 2023)

ACCP-MC-U-Net: Automatic Corpus Callosum Parcellation from brain MRI scans using MultiClass U-Net. - Amal Jlassi; Khaoula ElBedoui; Walid Barhoumi (INISTA, 2023)

Glioma Tumor's Detection and Classification Using Joint YOLOv7 and Active Contour Model. - Amal Jlassi; Khaoula ElBedoui; Walid Barhoumi (ISCC, 2023)

3DCC-MPNN: automated 3D reconstruction of corpus callosum based on modified PNN and marching cubes. - Amal Jlassi; Khaoula ElBedoui; Walid Barhoumi; Chokri Maktouf (Evol. Syst., 2024)

Potato Leaf Disease Classification Using Transfer Learning and Reweighting-Based Training with Imbalanced Data. - Amal Jlassi; Amani Elaoud; Haythem Ghazouani; Walid Barhoumi (SN Comput. Sci., 2024)

UTI-Dx-ViT: Enhancing UTI Diagnosis with YOLOv8 Segmentation and Vision Transformer-Based Classification. - Amal Jlassi; Sami Hafsi; Walid Barhoumi (AINA (4), 2025)