54 citations · 55 across the 2 of their papers we have counts for
2 papers
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…
eess.IV2021★ 1 cited
FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements
Szymon Płotka, Tomasz Włodarczyk, Adam Klasa +3
In this paper, we propose an end-to-end multi-task neural network called FetalNet with an attention mechanism and stacked module for spatio-temporal fetal ultrasound scan video ana…