Dr. Aya Elgebaly

Biography

Aya Elgebaly is a PhD student at the Technical University of Denmark, specializing in robust interpretable deep learning techniques, particularly in the context of predicting fetal development through ultrasound imaging. Her research focuses on extracting valuable insights from complex datasets, aiming to enhance the interpretability of deep learning models in medical applications. Alongside her main supervisor, C. N. Ladefoged, and co-supervisor M. G. Tolsgaard, she is engaged in projects that emphasize the generation of accurate and insightful reports to aid in understanding service usage and improving patient outcomes. Elgebaly's work is crucial in bridging the gap between advanced computational methods and practical healthcare solutions, contributing to significant advancements in prenatal care.

Research Interests