Publications

Below is a detailed list of my peer-reviewed journal articles, conference proceedings, book chapters, and abstracts from my CV.

Patents and Disclosures

  • M. Elsharkawy, A. El-Baz, A. Shalaby, A. Soliman, A. Sharafeldeen, A. Mahmoud, H. Sandhu, G. Giridharan
    "ASSESSMENT OF PULMONARY FUNCTION IN CORONAVIRUS PATIENT," U.S. Patent Application 12,217,432 (Active)

Peer-Reviewed Journal Articles

  • [1] El-Den, N.N., Elsharkawy, M., Saleh, I., Ghazal, M., Khalil, A., Haq, M.Z., Sewelam, A., Mahdi, H. and El-Baz, A., 2024. AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review. Artificial Intelligence Review, 57(9), p.237.
  • [2] Abdelhalim, I., Nadmid, N., Elsharkawy, M., Ghazal, M., Mahmoud, A. and El-Baz, A., 2025. Mask-UnMask Regions (MUMR) Framework for Classifying AMD Grades Using Inter-Regional Interaction Analysis. IEEE Access.
  • [3] Elsharkawy, M., Sharafeldeen A., Khalifa, F., Soliman, A., Elnakib, A., Ghazal, M., Sewelam, A., Thanos, A., Sandhu, H.S., El-Baz, A. A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography. IEEE Journal of Biomedical Health Informatics. 2024 Jan 17;PP. doi: 10.1109/JBHI.2024.3355329.
  • [4] El-Den, N.N., Naglah, A., Elsharkawy, M., Ghazal, M., Alghamdi, N.S., Sandhu, H., Mahdi, H. and El-Baz, A., 2023. Scale-adaptive model for detection and grading of age-related macular degeneration from color retinal fundus images. Scientific Reports, 13(1), p.9590.
  • [5] Haggag, S.; Elnakib, A.; Sharafeldeen, A.; Elsharkawy, M., Khalifa, F.; Farag, R.K.; Mohamed, M.A.; Sandhu, H.S.; Mansoor, W.; Sewelam, A.; El-Baz, A. A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features. Appl. Sci. 2022, 12, 8326. <https://doi.org/10.3390/app12168326>
  • [6] Elsharkawy, M., Elrazzaz, M., Sharafeldeen, A., Alhalabi, M., Khalifa, F., Soliman, A., ... & El-Baz, A. (2022). The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey. Sensors, 22(9), 3490.
  • [7] Farahat, I. S., Sharafeldeen, A., Elsharkawy, M., Soliman, A., Mahmoud, A., Ghazal, M., ... El-Baz, A. (2022). The Role of 3D CT Imaging in the Accurate Diagnosis of Lung Function in Coronavirus Patients. Diagnostics, 12(3), 696.
  • [8] Elsharkawy, M.; Sharafeldeen, A., Soliman, A., Khalifa, F., Ghazal, M., El-Daydamony, E., Atwan, A., Sandhu, H.S., El-Baz, A. A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model. Diagnostics 2022, 12, 461.
  • [9] Sharafeldeen, A.* , Elsharkawy, M.* , Khaled, R., Shaffie, A., Khalifa, F., Soliman, A., ... El-Baz, A. (2022). Texture and shape analysis of diffusion-weighted imaging for thyroid nodules classification using machine learning. Medical Physics, 49(2), 988-999. (* indicates shared first authorship).
  • [10] Elsharkawy, M., Elrazzaz, M., Ghazal, M., Alhalabi, M., Soliman, A., Mahmoud, A., ... El-Baz, A. (2021). Role of Optical Coherence Tomography Imaging in Predicting Progression of Age-Related Macular Disease: A Survey. Diagnostics, 11(12), 2313.
  • [11] Elsharkawy, M., Sharafeldeen, A., Taher, F., Shalaby, A., Soliman, A., Mahmoud, A., ... & El-Baz, A. (2021). Early assessment of lung function in coronavirus patients using invariant markers from chest X-rays images. Scientific Reports, 11(1), 1-11.
  • [12] Sleman, A. A., Soliman, A., Elsharkawy, M., Giridharan, G., Ghazal, M., Sandhu, H., ... & El-Baz, A. (2021). A novel 3D segmentation approach for extracting retinal layers from optical coherence tomography images. Medical Physics, 48(4), 1584-1595.
  • [13] Sharafeldeen, A.* , Elsharkawy, M.*, Khalifa, F., Soliman, A., Ghazal, M., AlHalabi, M., ... & El-Baz, A. (2021). Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images. Scientific Reports, 11(1), 1-16. (* indicates shared first authorship).
  • [14] Sharafeldeen, A., Elsharkawy, M., Alghamdi, N. S., Soliman, A., & El-Baz, A. (2021). Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints. Sensors, 21(16), 5482.
  • [15] Sandhu, H. S., Elmogy, M., Sharafeldeen, A. T., Elsharkawy, M., El-Adawy, N., Eltanboly, A., ... & El-Baz, A. (2020). Automated diagnosis of diabetic retinopathy using clinical biomarkers, optical coherence tomography, and optical coherence tomography angiography. American Journal of Ophthalmology, 216, 201-206.

Peer-Reviewed Conference Proceedings

  • [1] M. Elsharkawy, Abdelhalim, I., Ghazal, M., Haq, M.Z., Haq, R., Mahmoud, A., Sandhu, H.S., Thanos, A. and El-Baz, A., 2025. TransNetOCT: An Efficient Transformer-Based Model for 3D-OCT Segmentation Using Prior Shape. In International Conference on Pattern Recognition (pp. 301–315). Cham: Springer Nature Switzerland.
  • [2] Abdelhalim, I., M. Elsharkawy, Nadmid, N., Ghazal, M., Mahmoud, A. and El-Baz, A., 2024, December. MUMR: Mask-UnMask Regions Framework for AMD Grades Classification Based on Inter-regional Interactions. In International Conference on Pattern Recognition (pp. 213–223). Cham: Springer Nature Switzerland.
  • [3] Abdelhalim, I., Almalki, Y., Abbas, A., M. Elsharkawy, Karam, R., Alduraibi, S., Ghazal, M., Mahmoud, A., Contractor, S. and El-Baz, A., 2024, May. Twoviewdensity-Pvt: A Vision Transformer System for Accurate Bi-Rads Classification in Breast Cancer Grading From Mammogram Images. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1–4). IEEE.
  • [4] M. Elsharkawy, A. Sharafeldeen, A. Soliman, F. Khalifa, M. Ghazal, E. El-Daydamony, A. Atwan, H. Sandhu, and A. El-Baz, 2022. Diabetic Retinopathy Diagnostic CAD System using 3D-OCT Higher Order Spatial Appearance Model. In IEEE 18th International Symposium on Biomedical Imaging (ISBI), March 28–31, Kolkata, India.
  • [5] A. Sharafeldeen, M. Elsharkawy, A. Shaffie, F. Khalifa, A. Soliman, A. Naglah, R. Khaled, M. Hussein, M. Alrahmawy, S. Elmougy, J. Yousaf, M. Ghazal, and A. El-Baz, 2022. Thyroid Cancer Diagnostic System Using Magnetic Resonance Imaging. In 26th International Conference on Pattern Recognition (ICPR), August 21–25, Montréal, Québec.
  • [6] Aboudessouki, A., Ali, K.M., M. Elsharkawy, Alksas, A., Mahmoud, A., Khalifa, F., Ghazal, M., Yousaf, J., Khalifeh, H.A. and El-Baz, A., 2023, October. Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers. In 2023 IEEE International Conference on Image Processing (ICIP) (pp. 2965–2969). IEEE.

Book Chapters

  • [1] Elsharkawy, M., Soliman, A., Mahmoud, A., Ghazal, M., Alhalabi, M., El-Baz, A., Thanos, A., Sandhu, H.S., Giridharan, G. and El-Baz, A., 2023. Prevention of age-related macular degeneration disease: current strategies and future directions. In Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (pp. 13-1). Bristol, UK: IOP Publishing.
  • [2] Elsharkawy, M., Sharafeldeen, A., Soliman, A., Khalifa, F., Mahmoud, A., El-Baz, A., Ghazal, M., Sandhu, H.S. and El-Baz, A., 2023. Early identification of diabetic retinopathy through a computer-assisted diagnostic system and a higher-order spatial appearance model of 3D-OCT. In Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (pp. 12-1). Bristol, UK: IOP Publishing.

Abstracts in Published Proceedings

  • [1] Haq, M.Z., El-Den, N.N., Elsharkawy, M., Ghazal, M., Mahmoud, A., Sandhu, H., Mahdi, H. and El-Baz, A., 2024. A Novel AI Approach with Scale-Adaptive Integrated BiT-Autoencoder for Diagnosing Age-Related Macular Degeneration Using Fundus Images. Investigative Ophthalmology & Visual Science, 65(7), pp.5663–5663.
  • [2] Elsharkawy, M., Sharafeldeen, A., Soliman, A., Khalifa, F., Widjajahakim, R., Switala, A., ... & El-Baz, A. (2021). Automated diagnosis and grading of dry age-related macular degeneration using optical coherence tomography imaging. Investigative Ophthalmology & Visual Science, 62(8), 107–107. (poster)
  • [3] M. Elsharkawy, A. Sharafeldeen, F. Taher, A. Shalaby, A. Soliman, A. Mahmoud, M. Ghazal, A. Khalil, N. Alghamdi, A. Abdel Razek, E. Alnaghy, M. El-Melegy, H. Sandhu, G. Giridharan, and A. El-Baz, “Early Diagnosis of Lung Function in COVID-19 Patients Using Invariant Markers from Chest X-Rays,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’21), Orlando World Center Marriott, Orlando, FL, USA, October 6–9, 2021. (poster)
  • [4] M. Elsharkawy, A. Sharafeldeen, A. Soliman, F. Khalifa, R. Widjajahakim, A. Switala, A. Elnakib, S. Hassan, M. Draw, S. Schaal, H.S. Sandhu, J. Seddon, and A. El-Baz, “A comprehensive system for grading of dry age-related macular degeneration using optical coherence tomography imaging,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’21), Orlando World Center Marriott, Orlando, FL, USA, October 6–9, 2021. (poster)
  • [5] A. Sharafeldeen, M. Elsharkawy, F. Khalifa, A. Soliman, M. Ghazal, M. AlHalabi, M. Yaghi, M. Alrahmawy, S. Elmougy, H.S. Sandhu, and A. El-Baz, “Early Diagnosis of Diabetic Retinopathy Based on Reflectivity and Morphology Models using OCT Images,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’21), Orlando World Center Marriott, Orlando, FL, USA, October 6–9, 2021. (Selected for Oral Presentation)
  • [6] A. Sharafeldeen, M. Elsharkawy, R. Khaled, A. Shaffie, F. Khalifa, A. Soliman, A.A.K. Abdel Razek, S. Taman, A. Naglah, M. Alrahmawy, S. Elmougy, J. Yousaf, M. Ghazal, and A. El-Baz, “Thyroid Nodules Classification Based on Texture and Shape Analysis of Diffusion-Weighted Imaging,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’21), Orlando, FL, USA, October 6–9, 2021. (poster)
  • [7] A. Sharafeldeen, N.S. Alghamdi, M. Elsharkawy, A. Soliman, A.A.K. Abdel Razek, and A. El-Baz, “Accurate Segmentation of COVID-19 Infected Lung using CT Images,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’21), Orlando World Center Marriott, Orlando, FL, USA, October 6–9, 2021. (poster)
  • [8] E. Shawky, A. Sharafeldeen, M. Elsharkawy, M. Bilal, A.A.K. Abdel Razek, S. Elmougy, M. El-Melegy, M. Ghazal, F. Taher, and A. El-Baz, “Early Assessment of Lung Function in Coronavirus Patients from 3D CT Images,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’21), Orlando World Center Marriott, Orlando, FL, USA, October 6–9, 2021. (poster)
  • [9] A. Naglah, R. Khalid, A. Sharafeldeen, M. Elsharkawy, A. Shaffie, F. Khalifa, A. Soliman, A. Abdelkhalek, A. El-Baz, “A Novel MRI-based CAD System of Thyroid Cancer by Learning Texture and Morphology Features,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’20), Virtual Meeting, USA, October 14–17, 2020. (e-poster)
  • [10] F. Taher, A. Soliman, H. Kandil, A. Sharafeldeen, M. Elsharkawy, H. Abdeltawab, A. Mahmoud, A. Shalaby, and A. El-Baz, “A Segmentation Framework for Accurate Extraction of Cerebral Vasculature using a Convolution Neural Network,” In: Biomedical Engineering Society Annual Scientific Meeting (BMES’20), Virtual Meeting, USA, October 14–17, 2020. (e-poster)

Note: For a complete overview of my research identifiers, please see my Google Scholar, Web of Science, etc.