activity
20202025
most citedSegment Anything Model for Medical Images?

502 citations · 547 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

5 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…

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.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★ 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…

cs.CV2020★ 2 cited

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…