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Author

Ekram Chamseddine

Observed name: Ekram Chameseddine
ORCID: 0000-0002-1484-5069
Observed ORCID: 0000-0002-1484-5069
OpenAlex ID: A5039451486
Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss
2022 · Ekram Chamseddine, Nesrine Mansouri, et al. · Applied Soft Computing · 112
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Enhancing real-time IoT intrusion detection using KAN-based frameworks with SMOTE
2026 · Ahmed Burhan Mohammed, Ekram Chamseddine, et al. · Journal of Network and Computer Applications · 11
A Gabor-enhanced deep learning approach with dual-attention for 3D MRI brain tumor segmentation
2025 · Ekram Chamseddine, Lotfi Tlig, et al. · Computers in Biology and Medicine · 11
Enhanced Deep Learning Framework for Automatic MRI Brain Tumor Segmentation with Data Augmentation
2024 · Ekram Chamseddine, Lotfi Tlig, et al. · International Conference on Advanced Technologies for Signal and Image Processing · 7
SegNet Architecture for Dermoscopic Image Segmentation
2022 · Ekram Chamseddine, Lotfi Tlig, et al. · IEEE Information Technologies & Smart Industrial Systems (ITSIS) · 7
GABrain-Net : An Optimized Gabor-Integrated U-Net for Multimodal Brain Tumor MRI Segmentation
2025 · Ekram Chamseddine, Lotfi Tlig, et al. · International Conference on Control, Decision and Information Technologies (CoDIT) · 3
3D MRI Optimal Modality Combination for Brain Tumour Segmentation Using Transfer Learning
2026 · Ekram Chameseddine, Lotfi Tlig, et al. · Communications in computer and information science · 1
Multi-views Knee MRI Classification Using Vision Transformers for Automated Meniscal Tear Detection
2026 · Amel Sbita, Ekram Chameseddine, et al. · Communications in computer and information science · 1
A Robust ROI-Guided Deep Learning Framework for Meniscus Segmentation in Knee MRI
2026 · Amel Sbita, Ekram Chamseddine, et al. · Procedia Computer Science
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A Hybrid Intelligent Deep Learning Framework for Multi-Class Intrusion Detection in Real-Time IoT Environments
2026 · Ekram Chamseddine, Ahmed Burhan Mohammed, et al. · Procedia Computer Science
Works count: 10
Citation count: 153
H-index: 5
I10-index: 3
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