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20192025
most citedDeep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

175 citations · 212 across the 33 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.IV2020★ 1 cited

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…

cs.CV2020★ 4 cited

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…

eess.IV2020★ 1 cited

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…

cs.CV2020★ 5 cited

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…

eess.IV2020★ 2 cited

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…

eess.IV2020★ 5 cited

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…