activity
20232026
most citedMoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026★ 1 cited

Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education

Yuanji Zhang, Yuhao Huang, Haoran Dou +28

Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarcity of experienced specialists…

eess.IV2025★ 2 cited

MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction

Mingyuan Luo, Xin Yang, Zhongnuo Yan +8

Three-dimensional (3D) ultrasound (US) aims to provide sonographers with the spatial relationships of anatomical structures, playing a crucial role in clinical diagnosis. Recently,…

cs.CV2025

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound

Yuhao Huang, Ao Chang, Haoran Dou +8

Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasound (ABUS) is crucial for clinical diagnosis and treatment planning. Therefore, d…

cs.CV2024

Robust Box Prompt based SAM for Medical Image Segmentation

Yuhao Huang, Xin Yang, Han Zhou +4

The Segment Anything Model (SAM) can achieve satisfactory segmentation performance under high-quality box prompts. However, SAM's robustness is compromised by the decline in box qu…

cs.CV2024

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training

Jian Wang, Xin Yang, Xiaohong Jia +9

Thyroid nodule classification and segmentation in ultrasound images are crucial for computer-aided diagnosis; however, they face limitations owing to insufficient labeled data. In…

eess.IV2023

FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound

Chaoyu Chen, Xin Yang, Yuhao Huang +11

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal anatomical landmarks. Its primary objective is to provide comprehensive information about…

cs.CV2023

A Foundation Model for General Moving Object Segmentation in Medical Images

Zhongnuo Yan, Tong Han, Yuhao Huang +7

Medical image segmentation aims to delineate the anatomical or pathological structures of interest, playing a crucial role in clinical diagnosis. A substantial amount of high-quali…