316 citations · 941 across the 52 of their papers we have counts for
11 papers · 1 filter
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Shujun Wang, Lequan Yu, Kang Li +3
Deep convolutional neural networks have significantly boosted the performance of fundus image segmentation when test datasets have the same distribution as the training datasets. H…
Contrastive Rendering for Ultrasound Image Segmentation
Haoming Li, Xin Yang, Jiamin Liang +12
Ultrasound (US) image segmentation embraced its significant improvement in deep learning era. However, the lack of sharp boundaries in US images still remains an inherent challenge…
Style-invariant Cardiac Image Segmentation with Test-time Augmentation
Xiaoqiong Huang, Zejian Chen, Xin Yang +5
Deep models often suffer from severe performance drop due to the appearance shift in the real clinical setting. Most of the existing learning-based methods rely on images from mult…
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
Wang Jian, Miao Juzheng, Yang Xin +9
Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wa…
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
Junxiong Yu, Chaoyu Chen, Xin Yang +4
Automated breast ultrasound (ABUS) is a new and promising imaging modality for breast cancer detection and diagnosis, which could provide intuitive 3D information and coronal plane…
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
Yuhao Huang, Xin Yang, Rui Li +10
3D ultrasound (US) is widely used due to its rich diagnostic information, portability and low cost. Automated standard plane (SP) localization in US volume not only improves effici…
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
Xin Yang, Xu Wang, Yi Wang +6
Background and Objective: Biometric measurements of fetal head are important indicators for maternal and fetal health monitoring during pregnancy. 3D ultrasound (US) has unique adv…
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
Haoran Dou, Davood Karimi, Caitlin K. Rollins +7
Fetal cortical plate segmentation is essential in quantitative analysis of fetal brain maturation and cortical folding. Manual segmentation of the cortical plate, or manual refinem…
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs
Jiamin Liang, Xin Yang, Haoming Li +10
Ultrasound (US) is widely accepted in clinic for anatomical structure inspection. However, lacking in resources to practice US scan, novices often struggle to learn the operation s…
Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
Chaoyu Chen, Xin Yang, Ruobing Huang +10
3D ultrasound (US) can facilitate detailed prenatal examinations for fetal growth monitoring. To analyze a 3D US volume, it is fundamental to identify anatomical landmarks of the e…
Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer
Zhendong Liu, Xin Yang, Rui Gao +9
Deep Neural Networks (DNNs) suffer from the performance degradation when image appearance shift occurs, especially in ultrasound (US) image segmentation. In this paper, we propose…