Mohamed El-Sharkawy

Orcid: 0000-0001-9242-9709

Affiliations:
  • University of Louisville, Department of Bioengineering, KY, USA


According to our database1, Mohamed El-Sharkawy authored at least 23 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Explainable AI for glaucoma detection and classification: a comprehensive review.
Artif. Intell. Rev., July, 2026

Deep Learning-Based DR Screening from Oct Using Layer-Aware Thickness and Texture Maps.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Protostage-NET: A Clinically Guided Foundation Model With Prototypical Learning for Automated Amd Grading From Oct Images.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

LAPVT: Local Attention-Guided Pyramid Vision Transformers for Retinal Disease Classification.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
AI-based methods for diagnosing and grading diabetic retinopathy: A comprehensive review.
Artif. Intell. Medicine, 2025

Fused-AETNet: A Variational Transformer-Based Framework for Diabetic Retinopathy Classification Using OCT Biomarkers.
IEEE Access, 2025

Seg-Swin: A Dual-Attention Transformer Model for Advanced AMD Classification and Lesion Detection Using Color Fundus Imaging.
IEEE Access, 2025

Mask-UnMask Regions (MUMR) Framework for Classifying AMD Grades Using Inter-Regional Interaction Analysis.
IEEE Access, 2025

OCT-Trans: A Novel Transformer Backbone with Multimodal Feature Extraction in OCT-Based Retinal Disease Classification.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

ISGM-DR: Important Slice-Guided Model for Diabetic Retinopathy Diagnosis Using 3D Oct Images.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

FMUNet: Frequency Modulation-Based UNet for Octa Segmentation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

SABiT-MNet: Scale-Adaptive Autoencoder with BiT-M Model for Identifying AMD Grades.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhanced Breast Cancer Molecular Biomarker Classification: A Novel Two-Stage Machine Learning Pipeline for Accurate Histological Analysis of Whole Slide Images.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review.
Artif. Intell. Rev., September, 2024

A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography.
IEEE J. Biomed. Health Informatics, April, 2024

Twoviewdensity-Pvt: A Vision Transformer System for Accurate Bi-Rads Classification in Breast Cancer Grading From Mammogram Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

TransNetOCT: An Efficient Transformer-Based Model for 3D-OCT Segmentation Using Prior Shape.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

MUMR: Mask-UnMask Regions Framework for AMD Grades Classification Based on Inter-regional Interactions.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey.
Sensors, 2022

Diabetic Retinopathy Diagnostic CAD System Using 3D-Oct Higher Order Spatial Appearance Model.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints.
Sensors, 2021


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