Ahmed Sharafeldeen

University of Louisville — United States

Medicine · Health Sciences

14h-index593citations35works6.32yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(17), Retinal Imaging and Analysis(13), Retinal Diseases and Treatments(9), COVID-19 diagnosis using AI(9), Lung Cancer Diagnosis and Treatment(5)

Publications35 total

A Novel Automated System for Pathological Lung Segmentation Using Modified Local Binary Patterns and Hierarchical Transformers
2025
Predicting Response to Neoadjuvant Chemotherapy using Multi-Modal MRI Radiomics and Machine Learning Approaches
2025· 1 cited
A CT-based Prediction System for Determining Respiratory Support Level in COVID-19 Patients
2025
Machine Learning Approaches for Speech-Based Alzheimer’s Detection: A Comprehensive Survey
Computers·2025· 3 citedOpen Access
A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy
IEEE Access·2025Open Access
A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning
Lecture notes in computer science·2024· 3 cited
Unsupervised Segmentation of Pulmonary Regions in 3D CT Scans Optimized Using Transformer Model
Lecture notes in computer science·2024· 4 cited
Automated Segmentation of Lung Regions in 3D CT Scans Using Hybrid Unsupervised-Supervised Models
2024· 3 cited
Advanced OCTA imaging segmentation: Unsupervised, non-linear retinal vessel detection using modified self-organizing maps and joint MGRF modeling
Computer Methods and Programs in Biomedicine·2024· 3 cited
Retinal Vascular System Segmentation based on Non-Linear Map-Based Estimation of Joint MGRF Model
2024· 1 cited
A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography
IEEE Journal of Biomedical and Health Informatics·2024· 24 cited
An AI-based novel system for predicting respiratory support in COVID-19 patients through CT imaging analysis
Scientific Reports·2024· 22 citedOpen Access
A Novel Machine Learning Approach for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: Integration of Multimodal Radiomics With Clinical and Molecular Subtype Markers
IEEE Access·2024· 18 citedOpen Access
Early identification of diabetic retinopathy through a computer-assisted diagnostic system and a higher-order spatial appearance model of 3D-OCT
2023
Impact of Imaging Biomarkers and AI on Breast Cancer Management: A Brief Review
Cancers·2023· 42 citedOpen Access
Accurate Segmentation for Pathological Lung Based on Integration of 3D Appearance and Surface Models
2023· 7 cited
Diabetic Retinopathy Detection Using 3D OCT Features
2023· 7 cited
Graph partitioning MapReduce-based algorithms for counting triangles in large-scale graphs
Scientific Reports·2023· 5 citedOpen Access
Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images
Sensors·2022· 39 citedOpen Access
State of the Art: Lung Cancer Staging Using Updated Imaging Modalities
Bioengineering·2022· 14 citedOpen Access
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Frequent Co-authors

Ayman El‐Baz(32), Mohammed Ghazal(26), Ali Mahmoud(16), Mohamed Elsharkawy(14), Ahmed Soliman(13), Harpal S. Sandhu(12), Fahmi Khalifa(10), Samir Elmougy(10), Norah Saleh Alghamdi(9), Ahmed Elnakib(8), Sohail Contractor(8), Maha Yaghi(6), Marah Alhalabi(5), Mohammed Alrahmawy(5), Jawad Yousaf(5), Ahmed Elsaid Tolba(5), Fatma Taher(5), Abdelrahman Gamal(4), Eman Alnaghy(4), Hossam Magdy Balaha(4)