54 citations · 63 across the 3 of their papers we have counts for
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eess.IV2022★ 8 cited
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video
Szymon Płotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha +4
Predicting fetal weight at birth is an important aspect of perinatal care, particularly in the context of antenatal management, which includes the planned timing and the mode of de…
eess.IV2022★ 54 cited
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements
Szymon Płotka, Adam Klasa, Aneta Lisowska +4
Objective. This work investigates the use of deep convolutional neural networks (CNN) to automatically perform measurements of fetal body parts, including head circumference, bipar…