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ORCIDKhadiga M. A. Seddik
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2020 – today
- 2024
[j1]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, Ayman El-Baz:
A Novel Machine Learning Approach for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: Integration of Multimodal Radiomics With Clinical and Molecular Subtype Markers. IEEE Access 12: 104983-105003 (2024)- [c3]Mohamed T. Azam, Hossam Magdy Balaha, Khadiga M. A. Seddik, Nagham E. Mekky, Noha A. Hikal, Mohammed Ghazal, Dibson D. Gondim, Akshitkumar Mistry, Ayman El-Baz:
A Novel Vit-Based Multi-Scaled and Rotation-Invariance Approach for Precise Differentiation Between Meningioma and Solitary Fibrous Tumor. ISBI 2024: 1-4 - [c2]Margo Sabry, Hossam Magdy Balaha, Khadiga M. A. Seddik, Hassan Soliman, Dibson D. Gondim, Mohammed Ghazal, Tania Tahtouh, Ayman El-Baz:
A Vision Transformer Approach for Breast Cancer Classification in Histopathology. ISBI 2024: 1-4 - 2023
- [c1]Khadiga M. A. Seddik, Erik Knudsen, Damian Trilling, Christoph Trattner:
Understanding How News Recommender Systems Influence Selective Exposure. BehavRec@RecSys 2023
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