2021

[1]              Sara Elhishi, Reem El-Deeb, Fatma El-Zahraa Ahmed El-Gamal, Nehal A. Sakr, Sara El-Metwally, “Analyzing Public Perceptions Toward COVID-19 Vaccination Process Using Social Media and Machine Learning”, ArabWIC 2021: The 7th Annual International Conference on Arab Women in Computing in Conjunction with the 2nd Forum of Women in Research, Sharjah, UAE, 2021.

2020

[2]               El-Batrawy, H., Atwan, A., Soliman, H., and Elmogy, M.: Image Ranking Relevancy Based on Semantic Web Using Deep Learning Technique, In the proceedings of the 2020 International Conference on Computer and Information Sciences (ICCIS), Aljouf, KSA, 14-15 October, 2020.

[3]               Ibraheem, M. and Elmogy, M.: A Non-invasive Automatic Skin Cancer Detection System for Characterizing Malignant Melanoma from Seborrheic Keratosis, In the proceedings of the 2020 International Conference on Computer and Information Sciences (ICCIS), Aljouf, KSA, 14-15 October, 2020.

[4]               Al-Saeed, Y., Soliman, H., and Elmogy, M.: Liver Segmentation using Fast-Generalized Fuzzy C-Means (FG-FCM) from CT Scans, In the proceedings of 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), IEEE, Sakheer, Bahrain, Bahrain, 26-27 Oct. 2020, DOI: 10.1109/ICDABI51230.2020.9325703

[5]               Ahmed, H., Soliman, H., and Elmogy, M.: Early Detection of Alzheimer’s Disease Based on Single Nucleotide Polymorphisms (SNPs) Analysis and Machine Learning Techniques, In the proceedings of 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), IEEE, Sakheer, Bahrain, Bahrain, 26-27 Oct. 2020, DOI: 10.1109/ICDABI51230.2020.9325640

[6]               AbdelMaksoud, E., Barakat, S., and Elmogy, M.: Diabetic Retinopathy Grading Based on a Hybrid Deep Learning Model, In the proceedings of 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), IEEE, Sakheer, Bahrain, Bahrain, 26-27 Oct. 2020, DOI: 10.1109/ICDABI51230.2020.9325672

2019

[7]               Hammouda, K., Khalifa, F., Soliman, A., Ghazal, M., Abou El-Ghar, M., Haddad, A., Elmogy, M., Darwish, H., Elmaghraby, A., Keynton, R., and El-Baz, A.: A CNN-Based Framework for Bladder Wall Segmentation Using MRI, In the proceedings of the 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME), pp.1-4, Tripoli, Lebanon, 17-19 Oct. 2019.

[8]               Reda, I., Ghazal, M., Shalaby, A., Elmogy, M., Aboulfotouh, A., Abou El-Ghar, M., Elmaghraby, A., Keynton, R., and El-Baz, A.: Detecting Prostate Cancer Using A CNN-Based System Without Segmentation, The 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, pp. 855-858, 2019.

[9]               Eladawi, N., ElTanboly, A., Elmogy, M., Ghazal, M., Fraiwan, L., Aboelfetouh, A., Riad, A., Keynton, R., El-Azab, M., Schaal, S., and El-Baz, A.: Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion, The 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, pp. 587-591, 2019.

[10]           Reda, I., Ghazal, M., Shalaby, A., Elmogy, M., Aboulfotouh, A., Abou El-Ghar, M., El-Melegy, M., Khalil, A., Keynton, R., and El-Baz, A.: Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging, The IEEE International Conference on Image Processing (ICIP 2019), Taipei, Taiwan, pp. 1405-1409, September 2019.

[11]           Eladawi, N., Elmogy, M., Ghazal, M., Fraiwan, L., Aboelfetouh, A., Riad, A., Sandhu, H., Keynton, R., and El-Baz, A.: Early Signs Detection of Diabetic Retinopathy Using Optical Coherence Tomography Angiography Scans Based on 3D Multi-Path Convolutional Neural Network, The IEEE International Conference on Image Processing (ICIP 2019), Taipei, Taiwan, pp. 1390-1391, September 2019.

[12]           Hammouda, K., Khalifa, F., Soliman, A., Ghazal, M., Abou El-Ghar, M., Haddad, A., Elmogy, M., Darwish, H., Keynton, R., and El-Baz, A. A Deep Learning-Based Approach for Accurate Segmentation of Bladder Wall using MR Images, IEEE International Conference on Imaging Systems and Techniques (IST'2019), Abu Dhabi, UAE, December 2019.

[13]           Reda, I., Ghazal, M., Shalaby, A., Elmogy, M., Aboulfotouh, A., Abou El-Ghar, M., Keynton, R., and El-Baz, A.: An Accurate System for Prostate Cancer Localization from Diffusion-Weighted MRI, IEEE International Conference on Imaging Systems and Techniques (IST'2019), Abu Dhabi, UAE, December 2019.

[14]           El-Gamal, F. A., Elmogy, M., Khalil, A., Ghazal, M., Soliman, H., Atwan, A., Keynton, R., Barnes, G. N., and El-Baz, A.: A Local/Regional Based CAD System for Early Diagnosis of Alzheimer's Disease Using sMRI Scans, IEEE International Conference on Imaging Systems and Techniques (IST'2019), Abu Dhabi, UAE, December 2019.

[15]           Eladawi, N., Elmogy, M., Ghazal, M., Aboelfetouh, A., Riad, A., Sandhu, H., and El-Baz, A.: Diabetic Retinopathy Grading Using 3D Multi-path Convolutional Neural Network Based on Fusing Features from OCTA Scans, Demographic, and Clinical Biomarkers, IEEE International Conference on Imaging Systems and Techniques (IST'2019), Abu Dhabi, UAE, December 2019.

[16]           Elmogy, M., Khalil, A., Ghazal, M., and El-Baz, A.: Chronic Wound Healing Assessment System Based on Color and Texture Analysis, IEEE International Conference on Imaging Systems and Techniques (IST'2019), Abu Dhabi, UAE, December 2019.

[17]           Adel, E., Barakat, S., and Elmogy, M.: Distributed Electronic Health Records Semantic Interoperability Based on a Fuzzy Ontology Architecture, In the proceedings of the 14th IEEE International Conference on Computer Engineering and Systems (ICCES 2019), Cairo, Egypt, December 17-18, 2019.

[18]           Shoaip, N., Barakat, S., and Elmogy, M.: Alzheimer's Disease Integrated Ontology (ADIO), In the proceedings of the 14th IEEE International Conference on Computer Engineering and Systems (ICCES 2019), Cairo, Egypt, December 17-18, 2019.

[19]           AbdelMaksoud, E., Barakat, S., and Elmogy, M.: A Multi-Label Computer-aided Diagnosis System for Detecting and Diagnosing Diabetic Retinopathy, In the proceedings of the 14th IEEE International Conference on Computer Engineering and Systems (ICCES 2019), Cairo, Egypt, December 17-18, 2019.

2018

[20]           Reda, I., Ghazal, M., Shalaby, A., Elmogy, M., Aboulfotouh, A., Abou El-Ghar, M., Elmaghraby, A., Keynton, R., and El-Baz, A.: A Computer-Aided System for Prostate Cancer Diagnosis, International Symposium on Biomedical Imaging (ISBI 2018), April 4-7, 2018. Washington, DC, USA.

[21]           Reda, I., Ayinde, B., Elmogy, M., Shalaby, A., El-Melegy, M., Abou El-Ghar, M., Ahmed, A., Ghazal, M., and El-Baz, A.: A New CNN-Based System for Early Diagnosis of Prostate Cancer, International Symposium on Biomedical Imaging (ISBI 2018), April 4-7, 2018. Washington, DC, USA.

[22]           El-Gamal, F., Elmogy, M., Abdelghani, A., Soliman, H., Atwan, A., Keynton, R., El-Baz, A., and Barnes, G.: A Cortical Based Diagnosis System for MCI Based on sMRI Features Fusion, IEEE International Conference on Imaging Systems and Techniques (IST'2018), October 2016, 2018, Krakow, Poland.

[23]           Reda, I., Shalaby, A., Elmogy, M., Ghazal, M., Aboulfotouh, A., Abou El-Ghar, M., Elmaghraby, A., Keynton, R., and El-Baz, A.: A New Fast Framework for Early Detection of Prostate Cancer Without Prostate Segmentation," IEEE International Conference on Imaging Systems and Techniques (IST'2018), October 2016, 2018, Krakow, Poland.

[24]           Eladawi, N., Elmogy, M., Fraiwan, L., Ghazal, M., Pichi, F., Aboelfetouh, A., Riad, A., Keynton, R., Schaal, S., and El-Baz, A.: An OCTA Based Diagnosis System Based on a Comprehensive Local Features Analysis for Early Diabetic Retinopathy Detection, IEEE International Conference on Imaging Systems and Techniques (IST'2018), October 2016, 2018, Krakow, Poland.

[25]           Shalaby, A., Ghazal, M., Reda, I., Elmogy, M., Aboulfotouh, A., Mahmoud, A., El-Giziri, A., Elmaghraby, A., and El-Baz, A.: Computer-Aided Diagnosis of Prostate Cancer on Diffusion Weighted Imaging: A Technical Review, IEEE International Conference on Imaging Systems and Techniques (IST'2018), October 2016, 2018, Krakow, Poland.

[26]           Reda, I., Ghazal, M., Shalaby, A., Elmogy, M., Abouelfetouh, A., Ayinde, B., Abou El-Ghar, M., Elmaghraby, A., Keyntone, R., El-Baz, A.: A Novel ADCs-Based CNN Classification System for Precise Diagnosis of Prostate Cancer, In the processings of the 24th International Conference on Pattern Recognition (ICPR2018), Beijing, China, 2018.

[27]           El-Gamal, F., Elmogy, M., Atwan, A., Ghazal, M., Barnes, G., Hajjdiab, H., Keyntone, R., El-Baz, A.: Significant Region-Based Framework for Early Diagnosis of Alzheimer's Disease Using 11c Pib-Pet Scans, In the processings of the 24th International Conference on Pattern Recognition (ICPR2018), Beijing, China, 2018.

[28]           Eladawi, N., Elmogy, M., Fraiwan, L., Pichi, F., Ghazal, M., Abouelfetouh, A., Riad, A., Keyntone, R., Schaal, S., El-Baz, A.: Early Diagnosis of Diabetic Retinopathy in OCTA Images Based on Local Analysis of Retinal Blood Vessels and Foveal Avascular Zone, In the processings of the 24th International Conference on Pattern Recognition (ICPR2018), Beijing, China, 2018.

[29]           Elmogy, M., Garcia-Zapirain, B., Elmaghraby, A., El-Baz, A.: An Automated Classification Framework for Pressure Ulcer Tissues Based on 3D Convolutional Neural Network, In the processings of the 24th International Conference on Pattern Recognition (ICPR2018), Beijing, China, 2018.

[30]           Hammouda, K., Khalifa, F., Ghazal, M., Haddad, A., Elmogy, M., Darwish, H. E., Elmaghraby, A., and El-Baz, A.: MRI Markers for Early Assessment of Bladder Cancer: A Review," 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, pp. 185-191, 2018.

[31]           Reda, I., Ghazal, M., Shalaby, A., Elmogy, M., Aboulfotouh, A., El-Ghar, M., Elmaghraby, A., Keynton, R., and El-Baz, A.: A Computer-Aided System for Prostate Cancer Diagnosis," 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, pp. 616-620, 2018.

[32]           El-Gamal, F. A., Elmogy, M., Khalil, A., Ghazal, M., Soliman, H., Atwan, A., Keynton, R., Barnes, G. N., and El-Baz, A.: A Significant Regional-based Diagnosis System for Early Detection of Alzheimer's Disease Using sMRI Scans, 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, pp. 407-412, 2018.

[33]           ElTanboly, A., Eladawi, N., Elmogy, M., Ghazal, M., Fraiwan,L., Aboelfetouh, A., Riad, A., Keynton, R., El-Azab, M., Schaal, S., Sandhu, H., and El-Baz, A.: Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion, 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, pp. 607-611, 2018.

[34]           Elmogy, M., García-Zapirain, B., Burns, C., Elmaghraby, A., and El-Baz, A.: Tissue Classification for Pressure Ulcer Images Based on 3D Convolutional Neural Network, IEEE International Conference on Image Processing (ICIP'18), Athens, Greece, October 7–10, 2018.

2017

[35]           El-Gamal, F. El-Zahraa A., Elmogy, M., Ghazal, M., Atwan, A., Barnes, G., Casanova, M., Keynton, R., and El-Baz, A.: A Novel CAD System for Local and Global Early Diagnosis of Alzheimer's Disease Based on PIB-PET Scans, In the proceedings of IEEE International Conference on Image Processing: (ICIP'17), Beijing, China, September 17–20, 2017.

2016

[36]           Reda, I., Shalaby, A., El-Ghar, M., Khalifa, F., Elmogy, M., Aboulfetouh, A., Hosseini-Asl, E., El-Baz, A., Keynton, R.: A New NMF-Autoencoder Based CAD System for Early Diagnosis of Prostate Cancer, In proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 1237-1240, 2016.

[37]           Reda, I., Shalaby, A., Khalifa, F., Elmogy, M., Aboulfotouh, A., Abou El-Ghar, M., Hosseini-Asl, E., Werghi, N., Keynton, R., and El-Baz, A.: Computer- Aided Diagnostic Tool for Early Detection of Prostate Cancer, In the proceeding of the IEEE International Conference on Image Processing (ICIP 2016), Arizona, USA, pp. 2668-2672, 2016.

[38]           Zaied, A., Elmogy, M., and Abdelkader, S.: A Proposed Cloud-based Framework for Integrating Electronic Health Records, In the proceedings of the 10th International Conference on Informatics and Systems (INFO2016), ACM, pp. 139-145, May 2016.

[39]           Reda, I., Shalaby, A., Elmogy, M., Aboulfotouh, A., Khalifa, F., Abou El-Ghar, M., Gimel' farb, G., and El-Baz, A.: Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer, In the proceeding of the Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), pp.610-618, 2016.

[40]           Helal M., Elmogy, M., and El-Awady, R.: Hybrid Rough Set and Heterogeneous Ensemble Classifiers Model for Cancer Classification, In the proceedings of the 2nd International Conference on Advanced Intelligent Systems and Informatics 2016, Advances in Intelligent Systems and Computing 533, pp. 513-522, October 2016.

2015

[41]           Hassan, T. M., Elmogy, M., Sallam, E.: A Classification Framework for Diagnosis of Focal Liver Diseases, In the proceedings of the 10th IEEE International Conference on Computer Engineering and Systems (ICCES2015), Cairo, pp. 395-401, 2015.

[42]           Fouda, H., Elmogy, M., Aboelfetoh, A., Maat, A.: Constructing Fuzzy Ontology for Cardiac Arrhythmias, In the proceedings of the 10th IEEE International Conference on Computer Engineering and Systems (ICCES2015), Cairo, pp. 402-409, 2015.

2014

[43]          Eissa, M. M., Elmogy, M., Hashem, M., and Badria, F. A.: Hybrid Rough Genetic Algorithm Model for Making Treatment Decisions of Hepatitis C, In the proceeding of the second International Conference on Engineering and Technology (ICET 2014), Cairo, Egypt, April 2014.

[44]          El-Sappagh, S., Elmogy, M., El-Masri, S., and Riad, A. M.: A Diabetes Diagnostic Domain Ontology for CBR System from the Conceptual Model of SNOMED CT, In the proceeding of the second International Conference on Engineering and Technology (ICET 2014), Cairo, Egypt, April 2014.

[45]          Badria, F. A., Shoaip, N., Elmogy, M., Riad, A. M., and Zaghloul, H.: A Framework for Ovarian Cancer Diagnosis Based on Amino Acids Using Fuzzy-Rough Sets with SVM, In the proceedings of the 2nd International Conference on Advanced Machine Learning Technologies and Applications (AMLTA14), Communications in Computer and Information Science (CCIS vol. 488), Springer International Publishing Switzerland, pp. 389-400, 2014.

[46]          Abdel Maksoud, E. A., Elmogy, M., and Al-Awadi, R. M.: MRI Brain Tumor Segmentation System Based on Hybrid Clustering Techniques, In the proceedings of the 2nd International Conference on Advanced Machine Learning Technologies and Applications (AMLTA14), Communications in Computer and Information Science (CCIS vol. 488), Springer International Publishing Switzerland, pp. 401–412, 2014.

[47]          Hamouda, K., Elmogy, M., and El-Desouky, B. S.: A Hybrid Chaos and Fuzzy C-Means Clustering Technique for Watermarking Authentication, In the proceedings of the 2nd International Conference on Advanced Machine Learning Technologies and Applications (AMLTA14), Communications in Computer and Information Science (CCIS vol. 488), Springer International Publishing Switzerland, pp. 165–176, 2014.

[48]          El-Sappagh, S., Elmogy, M., Riad, A. M., Zaghlol, H., and Badria, F.: EHR Data Preparation for Case Based Reasoning Construction, In the proceedings of the 2nd International Conference on Advanced Machine Learning Technologies and Applications (AMLTA14), Communications in Computer and Information Science (CCIS vol. 488), Springer International Publishing Switzerland, pp. 483–497, 2014.

[49]          El-Sappagh, S., Elmogy, M., and Riad, A.: A Standard Fragment of HER Relational Data Model for Diabetes Mellitus Diagnosis, In the proceedings of the 9th International Conference on Informatics and Systems (INFOS2014), Cairo, Egypt, 15-17/12/2014.

[50]          Eissa, M. M., Elmogy, M., Hashem, M.: Rough-Granular Neural Network Model for Making Treatment Decisions of Hepatitis C, In the proceedings of the 9th International Conference on Informatics and Systems (INFOS2014), Cairo, Egypt, 15-17/12/2014.

[51]          Hamouda, K., Elmogy, M., and El-Desouky, B. S.: A Fragile Watermarking Authentication Schema Based on Chaotic Maps and Fuzzy C-Means Clustering Technique, In the proceedings of the 9th IEEE International Conference on Computer Engineering and Systems (ICCES2014), Cairo, Egypt, 21-23 December 2014.

[52]          Elhefny, M. A., Elmogy, M., and A. Elfetouh, A.: Building OWL Ontology for Obesity Related Cancer, In the proceedings of the 9th IEEE International Conference on Computer Engineering and Systems (ICCES2014), Cairo, Egypt, 21-23 December 2014.

[53]          Adel, E., Elmogy, M., and Elbakry H.: Real Time Image Mosaicing System Based on Feature Extraction Techniques, In the proceedings of the 9th IEEE International Conference on Computer Engineering and Systems (ICCES2014), Cairo, Egypt, 21-23 December 2014.

[54]          El-Sappagh, S., Elmogy, M., Riad, A. M., Zaghlol, H., and Badria, F.: A Proposed SNOMED CT Ontology-based Encoding Methodology for Diabetes Diagnosis Case-Base, In the proceedings of the 9th IEEE International Conference on Computer Engineering and Systems (ICCES2014), Cairo, Egypt, 21-23 December 2014.

2010

[55]           Mekky, N., Abou-Chadi, F. E.-Z., and Kishk, S., "A Fast and Fully Automatic Wavelet-Based Hybrid Registration Technique for Brain MR Images", Proc. of the 20th International Conference on Computer Theory and Applications (ICCTA'2010), Computer Scientific Society, Alexandria, pp. 74-79, October 2010.

[56]           Mekky, N., Abou-Chadi, F. E.-Z., and Kishk, S., "A New Dental Panoramic X-ray Image Registration Technique Using Hybrid and Hierarchical Strategies", Proc. of the 6th International Conference on Computer Engineering & Systems (ICCES'2010), Ain Shams University, Cairo, pp. 361-367, November 2010.

[57]           Mekky, N., Abou-Chadi, F. E.-Z., and Kishk, S., "A New Hybrid Registration Technique for Dental Panoramic X-ray Images” Proc. of the 6th International Conference on Computer Engineering & Systems, (ICENCO'2010), Cairo University, Cairo, pp. 142-147, December. 2010.