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 001; Sohail Contractor; Ayman El-Baz (ICIP, 2023)

Accurate Segmentation for Pathological Lung Based on Integration of 3D Appearance and Surface Models. - Ahmed Sharafeldeen; Ahmed Alksas; Mohammed Ghazal; Maha Yaghi; Adel Khelifi; Ali Mahmoud 001; Sohail Contractor; Eric Van Bogaert; Ayman El-Baz (ICIP, 2023)

A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks. - Bassant E. Youssef; Ahmed Alksas; Ahmed Shalaby 002; Ali Mahmoud 001; Eric Van Bogaert; Sohail Contractor; Mohammed Ghazal; Adel Elmaghraby; Ayman El-Baz (ISBI, 2023)

Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework. - Bassant E. Youssef; Ahmed Alksas; Ahmed Shalaby 002; Ali H. Mahmoud; Eric Van Bogaert; Norah Saleh Alghamdi; Alyssa Neubacher; Sohail Contractor; Mohammed Ghazal; Adel Said Elmaghraby; Ayman El-Baz (IEEE Access, 2023)

A Novel Approach for 3D Renal Segmentation Using a Modified GAN Model and Texture Analysis. - Israa Sharaby; Ahmed Alksas; Hossam Magdy Balaha; Ali Mahmoud 001; Mohammed Ali Badawy; Mohamed Abou El-Ghar; Ashraf Khalil; Mohammed Ghazal; Sohail Contractor; Ayman El-Baz (ICIP, 2024)

Automated Segmentation of Lung Regions in 3D CT Scans Using Hybrid Unsupervised-Supervised Models. - Ahmed Sharafeldeen; Adel Khelifi; Mohammed Ghazal; Maha Yaghi; Sohail Contractor; Ayman El-Baz (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; Abdelrahman Karawia; Mohammed Ghazal; Sohail Contractor; Ayman El-Baz (ICPR (27), 2024)

Unsupervised Segmentation of Pulmonary Regions in 3D CT Scans Optimized Using Transformer Model. - Ahmed Sharafeldeen; Adel Khelifi; Mohammed Ghazal; Maha Yaghi; Ali Mahmoud 001; Sohail Contractor; Ayman El-Baz (ICPR (23), 2024)

Twoviewdensity-Pvt: A Vision Transformer System for Accurate Bi-Rads Classification in Breast Cancer Grading From Mammogram Images. - Ibrahim Abdelhalim; Y. Almalki; A. Abbas; Mohamed Elsharkawy; R. Karam; S. Alduraibi; Mohammed Ghazal; Ali Mahmoud 001; Sohail Contractor; Ayman El-Baz (ISBI, 2024)

Advancing Personalized Prostate Cancer Therapy Through Hormonal Treatment: Promising Findings. - Ibrahim Abdelhalim; Ahmed Alksas; Hossam Magdy Balaha; Mohamed A. Badawy; Mohamed Abou El-Ghar; Norah Saleh Alghamdi; Mohammed Ghazal; Sohail Contractor; Eric Van Bogaert; Dibson D. Gondim; S. R. Silva; Fahmi Khalifa; et al. (ISBI, 2024)

Precision Diagnosis of Autism Through Resting FMRI and Machine Learning. - Mohamed Khudri; Mostafa Abdelrahim; Mohamed T. Ali; Ahmed Elnakib; Ahmed Shalaby 002; Ali Mahmoud 001; Sohail Contractor; Gregory N. Barnes; Ayman El-Baz (ISBI, 2024)

A New Non-invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney. - Ibrahim Abdelhalim; Mohamed Abou El-Ghar; Amy C. Dwyer; Rosemary Ouseph; Sohail Contractor; Ayman El-Baz (MICCAI (12), 2024)

IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO). - Mahmoud SalahEldin Kasem; Abdelrahman Abdallah; Ibrahim Abdelhalim; Norah Saleh Alghamdi; Sohail Contractor; Ayman El-Baz (MICCAI (1), 2024)

Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer. - Ibrahim Abdelhalim; Ahmed Alksas; Hossam Magdy Balaha; Mohamed A. Badawy; Mohamed Abou El-Ghar; Norah Saleh Alghamdi; Mohammed Ghazal; Sohail Contractor; Eric Van Bogaert; Dibson D. Gondim; Scott Silva; Fahmi Khalifa; et al. (IEEE Access, 2024)

A Novel Machine Learning Approach for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: Integration of Multimodal Radiomics With Clinical and Molecular Subtype Markers. - Fatma El-Zahraa A. El-Gamal; Ahmed Sharafeldeen; Eman Alnaghy; Reham Alghandour; Norah Saleh Alghamdi; Khadiga M. A. Seddik; Sameh Shamaa; Amal Aboueleneen; Ahmed Elsaid Tolba; Samir Elmougy; Mohammed Ghazal; Sohail Contractor; et al. (IEEE Access, 2024)

Artificial Intelligence-Based Kidney Segmentation With Modified Cycle-Consistent Generative Adversarial Network and Appearance-Based Shape Prior. - Israa Sharaby; Hossam Magdy Balaha; Ahmed Alksas; Ali Mahmoud 001; Mohamed Abou El-Ghar; Ashraf Khalil; Mohammed Ghazal; Sohail Contractor; Ayman El-Baz (IEEE Access, 2024)

CascadePLS-ViT: Cascade with Patch-Level Self-Supervised Vision Transformers for Breast Cancer Classification in Mammography. - Abdelrahman Abdallah; Mahmoud SalahEldin Kasem; Ibrahim Abdelhalim; Norah Saleh Alghamdi; Sohail Contractor; Ayman El-Baz (ISBI, 2025)

Predicting Response to Neoadjuvant Chemotherapy using Multi-Modal MRI Radiomics and Machine Learning Approaches. - Abdelrahman Gamal; Ahmed Sharafeldeen; Eman Alnaghy; Reham Alghandour; Khadiga M. Ali; Sameh Shamaa; Amal Aboueleneen; Ahmed Elsaid Tolba; Samir Elmougy; Mohammed Ghazal; Sohail Contractor; Ayman El-Baz (ISBI, 2025)

Utilizing Shape-features and GAN-Based Model for Renal Segmentation in DW-MRI. - Israa Sharaby; Ahmed Alksas; Hossam Magdy Balaha; Ali Mahmoud 001; Mohammed Badawy; Mohamed Abou El-Ghar; Mohammed Ghazal; Sohail Contractor; Ayman El-Baz (ISBI, 2025)

H-UDMIR: A Hybrid Unsupervised Deep Learning Framework for Deformable Medical Image Registration. - Hossam Magdy Balaha; Ali Mahmoud 001; Mohamed Abou El-Ghar; Mohammed Ghazal; Sohail Contractor; Ayman El-Baz (IEEE Access, 2025)

A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy. - 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 (IEEE Access, 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 001; Ayman El-Baz (Artif. Intell. Medicine, 2025)