2 citations · 5 across the 19 of their papers we have counts for
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Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran
Maternal-fetal Ultrasound is the primary modality for monitoring fetal development, yet automated segmentation remains challenging due to the scarcity of high-quality annotations.…
Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation
Fangyijie Wang, Kevin Whelan, Félix Balado +2
Medical image data is less accessible than in other domains due to privacy and regulatory constraints. In addition, labeling requires costly, time-intensive manual image annotation…
Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
Fangyijie Wang, Yuan Liang, Sourav Bhattacharjee +3
Accurate gestational age (GA) estimation, ideally through fetal ultrasound measurement, is a crucial aspect of providing excellent antenatal care. However, deriving GA from manual…
Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks
Fangyijie Wang, Kathleen M. Curran, Guénolé Silvestre
Accurate segmentation of ultrasound (US) images of the cervical muscles is crucial for precision healthcare. The demand for automatic computer-assisted methods is high. However, th…