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Amal Jlassi
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2020 – today
- 2024
- [j1]Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi
, Chokri Maktouf:
3DCC-MPNN: automated 3D reconstruction of corpus callosum based on modified PNN and marching cubes. Evol. Syst. 15(5): 1817-1843 (2024) - 2023
- [c6]Amal Jlassi, Amel Omri, Khaoula ElBedoui
Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques. ICAART (Revised Selected Paper) 2023: 425-447 - [c5]Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi
Brain Tumor Segmentation of Lower-Grade Glioma Across MRI Images Using Hybrid Convolutional Neural Networks. ICAART (2) 2023: 454-465 - [c4]Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi
ACCP-MC-U-Net: Automatic Corpus Callosum Parcellation from brain MRI scans using MultiClass U-Net. INISTA 2023: 1-6 - [c3]Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi
Glioma Tumor's Detection and Classification Using Joint YOLOv7 and Active Contour Model. ISCC 2023: 1-5 - 2020
- [c2]Amal Jlassi, Khaoula ElBedoui
Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans. ICOST 2020: 114-125
2010 – 2019
- 2019
- [c1]Amal Jlassi, Khaoula ElBedoui
Unsupervised Method based on Probabilistic Neural Network for the Segmentation of Corpus Callosum in MRI Scans. VISIGRAPP (4: VISAPP) 2019: 545-552
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