Khadiga M. Ali

According to our database, Khadiga M. Ali authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

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

Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making.

Margo Sabry, Hossam Magdy Balaha, Khadiga M. Ali, Tayseer Hassan A. Soliman, Dibson D. Gondim, Mohammed Ghazal, Norah Saleh Alghamdi, Ayman El-Baz

IEEE Access, 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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Integrated Grading Framework for Histopathological Breast Cancer: Multi-level Vision Transformers, Textural Features, and Fusion Probability Network.

Hossam Magdy Balaha, Khadiga M. Ali, Ali Mahmoud, Mohammed Ghazal, Ayman El-Baz

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

Harnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis.

Hossam Magdy Balaha, Khadiga M. Ali, Dibson D. Gondim, Mohammed Ghazal, Ayman El-Baz

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

2023

Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers.

Ahmed Aboudessouki, Khadiga M. Ali, Mohamed Elsharkawy, Ahmed Alksas, Ali Mahmoud, Fahmi Khalifa, Mohammed Ghazal, Jawad Yousaf, Hadil Abu Khalifeh, Ayman El-Baz

Proceedings of the IEEE International Conference on Image Processing, 2023