Amal Jlassi

According to our database, Amal Jlassi authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

XAI-Enabled Custom CNN for Cross-Modal Generalization in Breast Cancer Detection.

Maram Issaoui, Amal Jlassi, Abir Baâzaoui, Walid Barhoumi

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

A Self-Supervised Framework for Glioma Segmentation Using Swin UNETR.

Lesly Tsoptio Fougang, Joseph Muthui Wacira, Amal Jlassi, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

A Vector Quantization-Based U-Net for Robust Segmentation of Corpus Callosum.

Amal Jlassi, Maram Issaoui, Sami Hafsi, Ezequiel de la Rosa, Ahmed Harbaoui

Proceedings of the 11th International Conference on Control, 2025

BrainReportAI: An End-to-End Deep Learning Framework for Low-Grade Glioma Segmentation and Automated Radiology Reporting.

Raouf Azaza, Amal Jlassi, Khaoula ElBedoui

Proceedings of the 11th International Conference on Control, 2025

UTI-Dx-ViT: Enhancing UTI Diagnosis with YOLOv8 Segmentation and Vision Transformer-Based Classification.

Amal Jlassi, Sami Hafsi, Walid Barhoumi

Proceedings of the Advanced Information Networking and Applications, 2025

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., December, 2024

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., October, 2024

2023

Glioma Tumor's Detection and Classification Using Joint YOLOv7 and Active Contour Model.

Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi

Proceedings of the IEEE Symposium on Computers and Communications, 2023

ACCP-MC-U-Net: Automatic Corpus Callosum Parcellation from brain MRI scans using MultiClass U-Net.

Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi

Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques.

Amal Jlassi, Amel Omri, Khaoula ElBedoui, Walid Barhoumi

Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Brain Tumor Segmentation of Lower-Grade Glioma Across MRI Images Using Hybrid Convolutional Neural Networks.

Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2020

Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans.

Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi, Chokri Maktouf

Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

2019

Unsupervised Method based on Probabilistic Neural Network for the Segmentation of Corpus Callosum in MRI Scans.

Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi, Chokri Maktouf

Proceedings of the 14th International Joint Conference on Computer Vision, 2019