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)

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)

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)