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Dong Ni

4 papers indexed

arxivcs.CV2026-07-15

AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis

Jian Wang, Yang Yang, Ziheng Pan, Xiliang Zhu, Yuhan Zhang, Yanfeng Zhou, et al.

Life-limiting congenital anomalies require accurate prenatal diagnosis for appropriate clinical decision-making. Prenatal ultrasound (US) examinations involve multiple anatomical planes, and diagnosis depends on identifying anatomical planes and selecting diagnostically relevant…

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arxivcs.CV2026-07-01

FrameONE: Hierarchical Motion Modeling for Universal Multi-View Echocardiographic Keyframe Detection

Rusi Chen, Yuhao Huang, Hongyuan Zhang, Chao Tian, Shunan Ji, Yuhan Zhang, et al.

Accurate detection of end-systole (ES) and end-diastole (ED) frames is fundamental to echocardiographic assessment. Existing methods are typically developed in a view-specific manner, depend on auxiliary annotations or intensive visual modeling, which limits their generalizabilit…

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arxivcs.CV2026-07-01

Foundation Model-driven Key Anatomy Frame Selection for Blind-sweep Ultrasound Fetal Birth Weight Estimation

Le Ou, Xiliang Zhu, Huanwen Liang, Wenxiong Pan, Yuhao Huang, Yuxiang Deng, et al.

Accurate fetal birth weight (FBW) estimation shortly before delivery is clinically valuable yet challenging due to its reliance on operator expertise, particularly in low-resource settings. To reduce this reliance, we study near-term birth-weight regression from blind-sweep ultra…

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arxivcs.CVcs.AI2026-07-01

Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound

Huanwen Liang, Yuhao Huang, Xiliang Zhu, Yuanji Zhang, Xuedong Deng, Xinru Gao, et al.

Prenatal anomaly classification and localization is of critical importance for fetal health and pregnancy management. Although ultrasound (US) is the primary modality for prenatal screening, accurate diagnosis remains challenging due to the low prevalence and high heterogeneity o…

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