Minghao Wang

AsyCMST: Asymmetric cross-modal spatio-temporal learning for multimodal ultrasound nodule recognition featured image
Medical Image Analysis

AsyCMST: Asymmetric cross-modal spatio-temporal learning for multimodal ultrasound nodule recognition

Multimodal ultrasound combining B-mode ultrasound (BUS) and contrast-enhanced ultrasound (CEUS) has become a powerful tool for diagnosing superficial nodules in the thyroid and …

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HAN Hongcheng
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IEEE TMI

Keypoint-Guided Medical Video Segmentation Model With Spatiotemporal Feature Fusion

Atrial fibrillation, characterized by high prevalence and poor prognosis, presents a significant global health burden. Accurate segmentation and measurement of left ventricular and …

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Information Fusion

A segment anything model for transesophageal echocardiography based on bidirectional spatiotemporal context fusion

Accurate segmentation of the left atrial appendage (LAA) in transesophageal echocardiography is the foundation for clinical evaluation. However, the ambiguous boundaries of the …

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