DSANet: Dual-branch shape-aware network for echocardiography segmentation in apical views

GQ Zhou, WB Zhang, ZQ Shi, ZR Qi… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Echocardiography is an essential examination for cardiac disease diagnosis, from which
anatomical structures segmentation is the key to assessing various cardiac functions …

CephalFormer: incorporating global structure constraint into visual features for general cephalometric landmark detection

Y Jiang, Y Li, X Wang, Y Tao, J Lin, H Lin - International Conference on …, 2022 - Springer
Accurate cephalometric landmark detection is a crucial step in orthodontic diagnosis and
therapy planning. However, existing deep learning-based methods lack the ability to …

Tagnet: A transformer-based axial guided network for bile duct segmentation

GQ Zhou, F Zhao, QH Yang, KN Wang, S Li… - … Signal Processing and …, 2023 - Elsevier
Automatic segmentation of intrahepatic bile ducts and common bile ducts plays an essential
role in interventional surgery for cholangiocarcinoma, directly related to the success rate of …

BSMNet: Boundary-salience multi-branch network for intima-media identification in carotid ultrasound images

GQ Zhou, H Wei, X Wang, KN Wang, Y Chen… - Computers in Biology …, 2023 - Elsevier
Carotid artery intima-media thickness (CIMT) is an essential factor in signaling the risk of
cardiovascular diseases, which is commonly evaluated using ultrasound imaging. However …

Automatic 3-D spine curve measurement in freehand ultrasound via structure-aware reinforcement learning spinous process localization

QY Ran, J Miao, SP Zhou, S Hua, SY He, P Zhou… - Ultrasonics, 2023 - Elsevier
Freehand 3-D ultrasound systems have been advanced in scoliosis assessment to avoid
radiation hazards, especially for teenagers. This novel 3-D imaging method also makes it …

A novel artificial intelligence model for fetal facial profile marker measurement during the first trimester

C Ji, K Liu, X Yang, Y Cao, X Cao, Q Pan… - BMC Pregnancy and …, 2023 - Springer
Background To study the validity of an artificial intelligence (AI) model for measuring fetal
facial profile markers, and to evaluate the clinical value of the AI model for identifying fetal …

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks

J Miao, C Chen, K Zhang, J Chuai, Q Li… - … Conference on Medical …, 2024 - Springer
One-shot detection of anatomical landmarks is gaining significant attention for its efficiency
in using minimal labeled data to produce promising results. However, the success of current …

Automatic myotendinous junction identification in ultrasound images based on junction-based template measurements

GQ Zhou, SH Hua, Y He, KN Wang… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Tracking the myotendinous junction (MTJ) motion in consecutive ultrasound images is
essential to assess muscle and tendon interaction and understand the mechanics' muscle …

Craniomaxillofacial Bone Segmentation and Landmark Detection Using Semantic Segmentation Networks and an Unbiased Heatmap

R Zhang, B Jie, Y He, L Zhu, Z Xie, Z Liu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Craniomaxillofacial (CMF) surgery always relies on accurate preoperative planning to assist
surgeons, and automatically generating bone structures and digitizing landmarks for CMF …

An Extensive-Form Game Paradigm for Visual Field Testing via Deep Reinforcement Learning

R Ma, Y Tao, MM Khodeiry, X Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Glaucoma is the leading cause of irreversible but preventable blindness worldwide, and
visual field testing is an important tool for its diagnosis and monitoring. Testing using …