activity
20162022
most citedDeep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

175 citations · 275 across the 32 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 1 cited

FetusMap: Fetal Pose Estimation in 3D Ultrasound

Xin Yang, Wenlong Shi, Haoran Dou +6

The 3D ultrasound (US) entrance inspires a multitude of automated prenatal examinations. However, studies about the structuralized description of the whole fetus in 3D US are still…

eess.IV2019★ 3 cited

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound

Haoran Dou, Xin Yang, Jikuan Qian +8

Standard plane localization is crucial for ultrasound (US) diagnosis. In prenatal US, dozens of standard planes are manually acquired with a 2D probe. It is time-consuming and oper…

eess.IV2019★ 2 cited

Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes

Xu Wang, Xin Yang, Haoran Dou +3

Volumetric ultrasound has great potentials in promoting prenatal examinations. Automated solutions are highly desired to efficiently and effectively analyze the massive volumes. Se…

eess.IV2019★ 4 cited

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN

Xumin Tao, Hongrong Wei, Wufeng Xue +1

Myocardium segmentation of late gadolinium enhancement (LGE) Cardiac MR images is important for evaluation of infarction regions in clinical practice. The pathological myocardium i…

eess.IV2019★ 175 cited

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Yi Wang, Haoran Dou, Xiaowei Hu +7

Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developi…