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20192026
most citedUltrasound Image Representation Learning by Modeling Sonographer Visual Attention

30 citations · 60 across the 17 of their papers we have counts for

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7 papers · 1 filter

eess.IV2026

Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography

Yingyu Yang, Qianye Yang, Can Peng +4

Fetal echocardiography is essential for detecting congenital heart disease (CHD), facilitating pregnancy management, optimized delivery planning, and timely postnatal interventions…

eess.IV2025★ 1 cited

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Yingyu Yang, Qianye Yang, Kangning Cui +6

The identification of cardiac phase is an essential step for analysis and diagnosis of cardiac function. Automatic methods, especially data-driven methods for cardiac phase detecti…

eess.IV2024

Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation

Qianhui Men, Xiaoqing Guo, Aris T. Papageorghiou +1

3D pose estimation from a 2D cross-sectional view enables healthcare professionals to navigate through the 3D space, and such techniques initiate automatic guidance in many image-g…

eess.IV2021

A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry

Yuan Gao, Lok Hin Lee, Richard Droste +4

This paper presents a novel approach to automatic fetal brain biometry motivated by needs in low- and medium- income countries. Specifically, we leverage high-end (HE) ultrasound i…

eess.IV2020★ 3 cited

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou +1

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) i…

eess.IV2020

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound

Richard Droste, Lior Drukker, Aris T. Papageorghiou +1

We present the first system that provides real-time probe movement guidance for acquiring standard planes in routine freehand obstetric ultrasound scanning. Such a system can contr…

eess.IV2019★ 12 cited

Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks

Felipe Moser, Ruobing Huang, Aris T. Papageorghiou +2

To improve the performance of most neuroimiage analysis pipelines, brain extraction is used as a fundamental first step in the image processing. But in the case of fetal brain deve…