Mohamed Shehata

According to our database, Mohamed Shehata authored at least 29 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.

Mostafa Abdelrahim, Mohamed Khudri, Ahmed Elnakib, Mohamed Shehata, Kate Weafer, Ashraf Khalil, Gehad A. Saleh, Nihal M. Batouty, Mohammed Ghazal, Sohail Contractor, Gregory Barnes, Ayman El-Baz

Artif. Intell. Medicine, 2025

2024

Optimizing Vertebral Lesion Diagnosis: A CAD-Driven Machine Learning Classification System With Multi-Modal MRI Texture Analysis.

Mohamed T. Azam, Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Ahmed Alksas, Mohamed Shehata, Ahmed El-Morsy, Basem I. Awad, Norah Saleh Alghamdi, Mohammed Ghazal, Ayman El-Baz

IEEE Access, 2024

A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19.

Hossam Magdy Balaha, Mayada Elgendy, Ahmed Alksas, Mohamed Shehata, Norah Saleh Alghamdi, Fatma Taher, Mohammed Ghazal, Mahitab Ghoneim, Eslam Hamed, Fatma Sherif, Ahmed Elgarayhi, Mohammed Sallah, Mohamed Abdelbadie Salem, Elsharawy Kamal, Harpal Sandhu, Ayman El-Baz

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A New AI System for Precise Grading of HCC Based on Analyzing DW-MRI Radiomics and Alpha-fetoprotein as Liver Cancer Clinical Marker.

Abdelrhman Elkhouly, Ahmed Alksas, Gehad A. Saleh, Mohamed Shehata, Abdelrahman Karawia, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz

Proceedings of the Pattern Recognition - 27th International Conference, 2024

A Neuroimaging Yolov8-Based Cad Framework for Anosmia Grading in Covid-19.

Hossam Magdy Balaha, Mayada Elgendy, Ahmed Alksas, Mohamed Shehata, Norah Saleh Alghamdi, Fatma Taher, Mohammed Ghazal, Mahitab Ghoneim, Eslam Hamed, Fatma Sherif, Ahmed Elgarayhi, Mohammed Sallah, Mohamed Abdelbadie Salem, Elsharawy Kamal, Harpal Sandhu, Ayman El-Baz

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

An Integrated Machine Learning-Based Brain Computer Interface to Classify Diverse Limb Motor Tasks: Explainable Model.

Hend A. Hashem, Yousry M. AbdulAzeem, Labib M. Labib, Mostafa A. Elhosseini, Mohamed Shehata

Sensors, March, 2023

An AI-Based CAP Framework for Wilms' Tumor Preoperative Chemotherapy Susceptibility.

Israa Sharaby, Ahmed Alksas, A. Nashat, Hossam Magdy Balaha, Mohamed Shehata, M. Gayhart, Ali Mahmoud, Mohammed Ghazal, Ashraf Khalil, Rasha T. Abouelkheir, Ahmed Elmahdy, A. Abdelhalim, A. Mosbah, Ayman El-Baz

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Novel Textural and Morphological-Based CAD System for Early and Accurate Diagnosis of Vertebral Tumors.

Mohamed T. Azzam, Ahmed Alksas, Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Mohamed Shehata, Nagham E. Mekky, Noha A. Hikal, Basem I. Awad, Ahmad El-Morsy, Mohammed Ghazal, Ayman El-Baz

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Early Diagnosis of Prostate Cancer Using Parametric Estimation of IVIM from DW-MRI.

Hossam Magdy Balaha, Sarah M. Ayyad, Ahmed Alksas, Ali E. Takieldeen, Mohamed A. Badawy, Mohamed Shehata, Mohamed Abou El-Ghar, Mohammed Ghazal, Ali Mahmoud, Sohail Contractor, Ayman El-Baz

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

A New Framework for Precise Identification of Prostatic Adenocarcinoma.

Sarah M. Ayyad, Mohamed A. Badawy, Mohamed Shehata, Ahmed Alksas, Ali Mahmoud, Mohamed Abou El-Ghar, Mohammed Ghazal, Moumen T. El-Melegy, Nahla B. Abdel-Hamid, Labib M. Labib, H. Arafat Ali, Ayman El-Baz

Sensors, 2022

A Comprehensive Non-invasive System for Early Grading of Gliomas.

Ahmed Alksas, Mohamed Shehata, Hala A. A. Atef, Fatma Sherif, Maha Yaghi, Marah Talal Alhalabi, Mohammed Ghazal, Lamiaa El Serougy, Ayman El-Baz

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.

Mohamed Shehata, Ahmed Alksas, Rasha T. Abouelkheir, Ahmed Elmahdy, Ahmed Shaffie, Ahmed Soliman, Mohammed Ghazal, Hadil Abu Khalifeh, Reem Salim, Ahmed Abdel Khalek Abdel Razek, Norah Saleh Alghamdi, Ayman El-Baz

Sensors, 2021

Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey.

Sarah M. Ayyad, Mohamed Shehata, Ahmed Shalaby, Mohamed Abou El-Ghar, Mohammed Ghazal, Moumen T. El-Melegy, Nahla B. Abdel-Hamid, Labib M. Labib, H. Arafat Ali, Ayman El-Baz

Sensors, 2021

A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors.

Mohamed Shehata, Ahmed Alksas, Rasha T. Abouelkheir, Ahmed Elmahdy, Ahmed Shaffie, Ahmed Soliman, Mohammed Ghazal, Hadil Abu Khalifeh, Ahmed Abdel Razek, Ayman El-Baz

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma.

Ahmed Alksas, Mohamed Shehata, Gehad A. Saleh, Ahmed Shaffie, Ahmed Soliman, Mohammed Ghazal, Hadil Abu Khalifeh, Ahmed Abdel Razek, Ayman El-Baz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers.

Mohamed Shehata, Mohammed Ghazal, Hadil Abu Khalifeh, Ashraf Khalil, Ahmed Shalaby, Amy C. Dwyer, Ashraf M. Bakr, Robert Keynton, Ayman El-Baz

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI.

Mohamed Shehata, Fahmi Khalifa, Ahmed Soliman, Mohammed Ghazal, Fatma Taher, Mohamed Abou El-Ghar, Amy C. Dwyer, Georgy L. Gimel'farb, Robert Keynton, Ayman El-Baz

IEEE Trans. Biomed. Eng., 2019

Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results.

Mohamed Shehata, Robert Keynton, Ayman El-Baz, Ahmed Shalaby, Mohammed Ghazal, Mohamed Abou El-Ghar, Mohamed A. Badawy, Garth M. Beache, Amy C. Dwyer, Moumen T. El-Melegy, Guruprasad Giridharan

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

A Novel CAD System for Detecting Acute Rejection of Renal Allografts Based on Integrating Imaging-markers and Laboratory Biomarkers.

Mohamed Shehata, Mohammed Ghazal, Fahmi Khalifa, Mohamed Abou El-Ghar, Ashraf Khalil, Amy C. Dwyer, Ahmed El-giziri, Moumen T. El-Melegy, Ayman El-Baz

Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Early Assessment of Acute Renal Rejection Post-transplantation: A Combined Imaging and Clinical Biomarkers Protocol.

Mohamed Shehata, Fatma Taher, Mohammed Ghazal, Ali Mahmoud, Garth M. Beache, Mohamed Abou El-Ghar, Amy C. Dwyer, Adel Elmaghraby, Ayman El-Baz

Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection.

Hisham Abdeltawab, Mohamed Shehata, Ahmed Shalaby, Samineh Mesbah, Maryam El-Baz, Mohammed Ghazal, Yasmina Alkhalil, Mohamed Abou El-Ghar, Amy C. Dwyer, Moumen T. El-Melegy, Ayman El-Baz

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Role of Integrating Diffusion Mr Image-Markers with Clinical-Biomarkers For Early Assessment of Renal Transplants.

Mohamed Shehata, Mohammed Ghazal, Garth M. Beache, Mohamed Abou El-Ghar, Amy C. Dwyer, Hassan Hajjdiab, Ashraf Khalil, Ayman El-Baz

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

A generalized MRI-based CAD system for functional assessment of renal transplant.

Fahmi Khalifa, Mohamed Shehata, Ahmed Soliman, Mohamed Abou El-Ghar, Tarek Eldiasty, Amy C. Dwyer, Moumen T. El-Melegy, Georgy L. Gimel'farb, Robert Keynton, Ayman El-Baz

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

A Promising Non-invasive CAD System for Kidney Function Assessment.

Mohamed Shehata, Fahmi Khalifa, Ahmed Soliman, Mohamed Abou El-Ghar, Amy C. Dwyer, Georgy L. Gimel'farb, Robert Keynton, Ayman El-Baz

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection.

Mohamed Shehata, Fahmi Khalifa, Ahmed Soliman, Ali E. Takieldeen, Mohamed Abou El-Ghar, Ahmed Shaffie, Amy C. Dwyer, Rosemary Ouseph, Ayman El-Baz, Robert Keynton

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Kidney segmentation from CT images using a 3D NMF-guided active contour model.

Fahmi Khalifa, Ahmed Soliman, Ali E. Takieldeen, Mohamed Shehata, Mahmoud Mostapha, Ahmed Shaffie, Rosemary Ouseph, Adel Elmaghraby, Ayman El-Baz

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI.

Mohamed Shehata, Fahmi Khalifa, Elizabeth Hollis, Ahmed Soliman, Ehsan Hosseini-Asl, Mohamed Abou El-Ghar, Maryam El-Baz, Amy C. Dwyer, Ayman El-Baz, Robert Keynton

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A novel framework for automatic segmentation of kidney from DW-MRI.

Mohamed Shehata, Fahmi Khalifa, Ahmed Soliman, Rahaf Alrefai, Mohamed Abou El-Ghar, Amy C. Dwyer, Rosemary Ouseph, Ayman El-Baz

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A level set-based framework for 3D kidney segmentation from diffusion MR images.

Mohamed Shehata, Fahmi Khalifa, Ahmed Soliman, Rahaf Alrefai, Mohamed Abou El-Ghar, Amy C. Dwyer, Rosemary Ouseph, Ayman El-Baz

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015