Ayman El-Baz

Ayman El-Baz is an American bioengineer. He is the Chair of the Department of Bioengineering at the University of Louisville's J. B. Speed School of Engineering. El-Baz is a Fellow of the American Institute for Medical and Biological Engineering and National Academy of Inventors. Provided by Wikipedia
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  1. 1
    Improving BI-RADS Mammographic Classification With Self-Supervised Vision Transformers and Cascade Learning

    Improving BI-RADS Mammographic Classification With Self-Supervised Vision Transformers and Cascade Learning by Abdelrahman Abdallah, Mahmoud Salaheldin Kasem, Ibrahim Abdelhalim, Norah Saleh Alghamdi, Ayman El-Baz

    Published 2025-01-01
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  2. 2
    Mask-UnMask Regions (MUMR) Framework for Classifying AMD Grades Using Inter-Regional Interaction Analysis

    Mask-UnMask Regions (MUMR) Framework for Classifying AMD Grades Using Inter-Regional Interaction Analysis by Ibrahim Abdelhalim, Namuunaa Nadmid, Mohamed Elsharkawy, Mohammed Ghazal, Ali H. Mahmoud, Ayman El-Baz

    Published 2025-01-01
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  3. 3
    Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

    Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies by Ayman El-Baz, Garth M. Beache, Georgy Gimel'farb, Kenji Suzuki, Kazunori Okada, Ahmed Elnakib, Ahmed Soliman, Behnoush Abdollahi

    Published 2013-01-01
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  4. 4
    Seg-Swin: A Dual-Attention Transformer Model for Advanced AMD Classification and Lesion Detection Using Color Fundus Imaging

    Seg-Swin: A Dual-Attention Transformer Model for Advanced AMD Classification and Lesion Detection Using Color Fundus Imaging by Niveen Nasr El-Den, Mohamed Elsharkawy, Ibrahim Saleh, Ali H. Mahmoud, Mohammed Ghazal, Ashraf Khalil, Ashraf Sewelam, Hani Mahdi, Ayman El-Baz

    Published 2025-01-01
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  5. 5
    Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making

    Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making by Margo Sabry, Hossam Magdy Balaha, Khadiga M. Ali, Tayseer Hassan A. Soliman, Dibson Gondim, Mohammed Ghazal, Norah Saleh Alghamdi, Ayman El-Baz

    Published 2025-01-01
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  6. 6
    Risk Factors, Etiology, Pathology, and Diagnostic Methods for Acute Kidney Injury: A Review Study

    Risk Factors, Etiology, Pathology, and Diagnostic Methods for Acute Kidney Injury: A Review Study by Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Yuliang Wang, Ayman El Baz, Naglaa Elarabany, Ahmed A. Khalil

    Published 2022-11-01
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  7. 7
    XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging

    XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging by Aya A. Abd El-Khalek, Hossam Magdy Balaha, Mohamed T. Azam, Ashraf Sewelam, Mohammed Ghazal, Abeer T. Khalil, Mohy Eldin A. Abo-Elsoud, Ayman El-Baz

    Published 2025-01-01
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  8. 8
    Satisfaction of academic medical staff with integrated medical curriculum: an exploratory multinational survey

    Satisfaction of academic medical staff with integrated medical curriculum: an exploratory multinational survey by Ghazi F. Sharkas, Ragaa El-Masry, Sameh Abdel-Ghany, Ayman El Baz, Tamer Abou-Elsaad, Amira Adly Kassab, Darwish H. Badran, Abdalla Y. Bashir

    Published 2024-12-01
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  9. 9
    A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy

    A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy by Ahmed Sharafeldeen, Fatma Taher, Norah Saleh Alghamdi, Eman Alnaghy, Reham Alghandour, Khadiga M. Ali, Sameh Shamaa, Abdelrahman Gamal, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz

    Published 2025-01-01
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  10. 10
    A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor

    A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor by Mohamed T. Azam, Hossam Magdy Balaha, Akshitkumar Mistry, Khadiga M. Ali, Bret C. Mobley, Nalin Leelatian, Sanjay Bhatia, Murat Gokden, Norman Lehman, Mohammed Ghazal, Ayman El-Baz, Dibson D. Gondim

    Published 2025-04-01
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