A level set-based framework for 3D kidney segmentation from diffusion MR images. - Mohamed Shehata 002; Fahmi Khalifa; Ahmed Soliman 001; Rahaf Alrefai; Mohamed Abou El-Ghar; Amy C. Dwyer; Rosemary Ouseph; Ayman El-Baz (ICIP, 2015)

A novel framework for automatic segmentation of kidney from DW-MRI. - Mohamed Shehata 002; Fahmi Khalifa; Ahmed Soliman 001; Rahaf Alrefai; Mohamed Abou El-Ghar; Amy C. Dwyer; Rosemary Ouseph; Ayman El-Baz (ISBI, 2015)

A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI. - Mohamed Shehata 002; Fahmi Khalifa; Elizabeth Hollis; Ahmed Soliman 001; Ehsan Hosseini-Asl; Mohamed Abou El-Ghar; Maryam El-Baz; Amy C. Dwyer; Ayman El-Baz; Robert Keynton (ICIP, 2016)

Kidney segmentation from CT images using a 3D NMF-guided active contour model. - Fahmi Khalifa; Ahmed Soliman 001; Ali E. Takieldeen; Mohamed Shehata 002; Mahmoud Mostapha; Ahmed Shaffie; Rosemary Ouseph; Adel Elmaghraby; Ayman El-Baz (ISBI, 2016)

3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection. - Mohamed Shehata 002; Fahmi Khalifa; Ahmed Soliman 001; Ali E. Takieldeen; Mohamed Abou El-Ghar; Ahmed Shaffie; Amy C. Dwyer; Rosemary Ouseph; Ayman El-Baz; Robert Keynton (ISBI, 2016)

A Promising Non-invasive CAD System for Kidney Function Assessment. - Mohamed Shehata 002; Fahmi Khalifa; Ahmed Soliman 001; Mohamed Abou El-Ghar; Amy C. Dwyer; Georgy L. Gimel'farb; Robert Keynton; Ayman El-Baz (MICCAI (3), 2016)

A generalized MRI-based CAD system for functional assessment of renal transplant. - Fahmi Khalifa; Mohamed Shehata 002; Ahmed Soliman 001; Mohamed Abou El-Ghar; Tarek Eldiasty; Amy C. Dwyer; Moumen T. El-Melegy; Georgy L. Gimel'farb; Robert Keynton; Ayman El-Baz (ISBI, 2017)

Role of Integrating Diffusion Mr Image-Markers with Clinical-Biomarkers For Early Assessment of Renal Transplants. - Mohamed Shehata 002; Mohammed Ghazal; Garth M. Beache; Mohamed Abou El-Ghar; Amy C. Dwyer; Hassan Hajjdiab; Ashraf Khalil; Ayman El-Baz (ICIP, 2018)

A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection. - Hisham Abdeltawab; Mohamed Shehata 002; Ahmed Shalaby 002; Samineh Mesbah; Maryam El-Baz; Mohammed Ghazal; Yasmina Alkhalil; Mohamed Abou El-Ghar; Amy C. Dwyer; Moumen T. El-Melegy; Ayman El-Baz (ICPR, 2018)

Early Assessment of Acute Renal Rejection Post-transplantation: A Combined Imaging and Clinical Biomarkers Protocol. - Mohamed Shehata 002; Fatma Taher; Mohammed Ghazal; Ali Mahmoud 001; Garth M. Beache; Mohamed Abou El-Ghar; Amy C. Dwyer; Adel Elmaghraby; Ayman El-Baz (ISSPIT, 2018)

A Novel CAD System for Detecting Acute Rejection of Renal Allografts Based on Integrating Imaging-markers and Laboratory Biomarkers. - Mohamed Shehata 002; Mohammed Ghazal; Fahmi Khalifa; Mohamed Abou El-Ghar; Ashraf Khalil; Amy C. Dwyer; Ahmed El-giziri; Moumen T. El-Melegy; Ayman El-Baz (IST, 2018)

Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results. - Mohamed Shehata 002; Robert Keynton; Ayman El-Baz; Ahmed Shalaby 002; Mohammed Ghazal; Mohamed Abou El-Ghar; Mohamed A. Badawy; Garth M. Beache; Amy C. Dwyer; Moumen T. El-Melegy; Guruprasad Giridharan (ICIP, 2019)

Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI. - Mohamed Shehata 002; Fahmi Khalifa; Ahmed Soliman 001; 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)

A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers. - Mohamed Shehata 002; Mohammed Ghazal; Hadil Abu Khalifeh; Ashraf Khalil; Ahmed Shalaby 002; Amy C. Dwyer; Ashraf M. Bakr; Robert Keynton; Ayman El-Baz (ICIP, 2020)

A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma. - Ahmed Alksas; Mohamed Shehata 002; Gehad A. Saleh; Ahmed Shaffie; Ahmed Soliman 001; Mohammed Ghazal; Hadil Abu Khalifeh; Ahmed Abdel Razek; Ayman El-Baz (ICPR, 2020)

A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors. - Mohamed Shehata 002; Ahmed Alksas; Rasha T. Abouelkheir; Ahmed Elmahdy; Ahmed Shaffie; Ahmed Soliman 001; Mohammed Ghazal; Hadil Abu Khalifeh; Ahmed Abdel Razek; Ayman El-Baz (ISBI, 2021)

Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey. - Sarah M. Ayyad; Mohamed Shehata 002; Ahmed Shalaby 002; 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 Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors. - Mohamed Shehata 002; Ahmed Alksas; Rasha T. Abouelkheir; Ahmed Elmahdy; Ahmed Shaffie; Ahmed Soliman 001; Mohammed Ghazal; Hadil Abu Khalifeh; Reem Salim; Ahmed Abdel Khalek Abdel Razek; Norah Saleh Alghamdi; Ayman El-Baz (Sensors, 2021)

A Comprehensive Non-invasive System for Early Grading of Gliomas. - Ahmed Alksas; Mohamed Shehata 002; Hala A. A. Atef; Fatma Sherif; Maha Yaghi; Marah Talal Alhalabi; Mohammed Ghazal; Lamiaa El Serougy; Ayman El-Baz (ICPR, 2022)

A New Framework for Precise Identification of Prostatic Adenocarcinoma. - Sarah M. Ayyad; Mohamed A. Badawy; Mohamed Shehata 002; Ahmed Alksas; Ali Mahmoud 001; 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)

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 002; Mohamed Abou El-Ghar; Mohammed Ghazal; Ali Mahmoud 001; Sohail Contractor; Ayman El-Baz (ICIP, 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 002; Nagham E. Mekky; Noha A. Hikal; Basem I. Awad; Ahmad El-Morsy; Mohammed Ghazal; Ayman El-Baz (ISBI, 2023)

An AI-Based CAP Framework for Wilms' Tumor Preoperative Chemotherapy Susceptibility. - Israa Sharaby; Ahmed Alksas; A. Nashat; Hossam Magdy Balaha; Mohamed Shehata 002; M. Gayhart; Ali Mahmoud 001; Mohammed Ghazal; Ashraf Khalil; Rasha T. Abouelkheir; Ahmed Elmahdy; A. Abdelhalim; et al. (ISBI, 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 002 (Sensors, 2023)

A Neuroimaging Yolov8-Based Cad Framework for Anosmia Grading in Covid-19. - Hossam Magdy Balaha; Mayada Elgendy; Ahmed Alksas; Mohamed Shehata 002; Norah Saleh Alghamdi; Fatma Taher; Mohammed Ghazal; Mahitab Ghoneim; Eslam Hamed; Fatma Sherif; Ahmed Elgarayhi; Mohammed Sallah; et al. (ICIP, 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 002; Abdelrahman Karawia; Mohammed Ghazal; Sohail Contractor; Ayman El-Baz (ICPR (27), 2024)

A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19. - Hossam Magdy Balaha; Mayada Elgendy; Ahmed Alksas; Mohamed Shehata 002; Norah Saleh Alghamdi; Fatma Taher; Mohammed Ghazal; Mahitab Ghoneim; Eslam Hamed; Fatma Sherif; Ahmed Elgarayhi; Mohammed Sallah; et al. (ISBI, 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 002; Ahmed El-Morsy; Basem I. Awad; Norah Saleh Alghamdi; Mohammed Ghazal; Ayman El-Baz (IEEE Access, 2024)

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 002; Kate Weafer; Ashraf Khalil; Gehad A. Saleh; Nihal M. Batouty; Mohammed Ghazal; Sohail Contractor; Gregory Barnes 001; Ayman El-Baz (Artif. Intell. Medicine, 2025)