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eess.IV2026
Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification
Youssef Megahed, Salma I. Megahed, Robin Ducharme +4
Reliable interpretation of cardiac ultrasound images is essential for accurate clinical diagnosis and assessment. Self-supervised learning has shown promise in medical imaging by l…
eess.IV2025
Self-Supervised Ultrasound Representation Learning for Renal Anomaly Prediction in Prenatal Imaging
Youssef Megahed, Inok Lee, Robin Ducharme +4
Prenatal ultrasound is the cornerstone for detecting congenital anomalies of the kidneys and urinary tract, but diagnosis is limited by operator dependence and suboptimal imaging c…
eess.IV2025
Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly
Youssef Megahed, Inok Lee, Robin Ducharme +7
The proposed study aimed to develop a deep learning model capable of detecting ventriculomegaly on prenatal ultrasound images. Ventriculomegaly is a prenatal condition characterize…