activity
20172020
most citedPatch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

316 citations · 424 across the 11 of their papers we have counts for

collaborators

16 papers

eess.IV20202 cited

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…

eess.IV20201 cited

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…

eess.IV2020

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…

cs.CV20204 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.IV20201 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…

eess.IV2020

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…