RESEARCHER PROFILE

Nechirvan Asaad Zebari

← Back to Lebanese French University

N

Lebanese French University

AI in cancer detectionImage Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical ImagingBrain Tumor Detection and ClassificationAdvanced Neural Network Applications

Nechirvan Asaad Zebari works in AI in cancer detection, Image Retrieval and Classification Techniques, Radiomics and Machine Learning in Medical Imaging, Brain Tumor Detection and Classification, Advanced Neural Network Applications. Recorded institutional associations include Lebanese French University.

13Publications
263Citations
6H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion

    2021 · 111 citations

  2. A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images

    2024 · 48 citations

  3. A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces

    2024 · 38 citations

  4. Enhancing Brain Tumor Classification with Data Augmentation and DenseNet121

    2023 · 33 citations

  5. Significant features for steganography techniques using deoxyribonucleic acid: a review

    2021 · 18 citations

  6. Automated Detection of Covid-19 from X-ray Using SVM

    2022 · 8 citations

  7. Skin Lesion Segmentation Using K-means Clustering with Removal Unwanted Regions

    2022 · 5 citations

  8. Deep Transfer Learning and Feature Fusion for Improving Facial Expression Recognition on JAFFE Dataset

    2025 · 2 citations

  9. An Effective Model-Based Voting Classifier for Diabetes Mellitus Classification

    2026 · 1 citations

  10. Deep Disaster-Net: A Multi-Objective Gradient-Hopping Optimized Framework with Adaptive Classifier Fusion for Post-Disaster Image Segmentation

    2026 · 0 citations

  11. A Hybrid LBP and CNN-Based Approach for COVID-19 Detection Using Chest X-Ray Images

    2025 · 0 citations

  12. Thresholding-based approach for segmentation of melanocytic skin lesion in dermoscopic images

    2024 · 0 citations

  13. Deep Learning Convolutional Neural Networks Classification Based on Brain Cancer MRI

    2023 · 0 citations

← Return to the university profile