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20232026
most citedSegment Anything Model for Medical Images?

502 citations · 507 across the 22 of their papers we have counts for

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Showing eess.IVShow all

9 papers · 1 filter

eess.IV2026

Cross-Modal Ultrasound-MRI Learning for Fetal Brain Ventricular Volumetry and Abnormality Screening

Yuhao Huang, Yuanji Zhang, Yuhuan Lu +3

Assessment of ventriculomegaly (VM) on fetal brain ultrasound relies primarily on measuring lateral ventricular atrial width on standard planes, which is operator-dependent and may…

eess.IV2025

MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound

Rusi Chen, Yuanting Yang, Jiezhi Yao +12

Mitral regurgitation is one of the most prevalent cardiac disorders. Four-dimensional (4D) ultrasound has emerged as the primary imaging modality for assessing dynamic valvular mor…

eess.IV2025

Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Jian Wang, Qiongying Ni, Hongkui Yu +15

Accurate fetal birth weight (FBW) estimation is essential for optimizing delivery decisions and reducing perinatal mortality. However, clinical methods for FBW estimation are ineff…

eess.IV2025

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Junxuan Yu, Yaofei Duan, Yuhao Huang +22

Echocardiography is routine for cardiac examination. However, 2D ultrasound (US) struggles with accurate metric calculation and direct observation of 3D cardiac structures. Moreove…

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,…

eess.IV2025

TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker

Qi Li, Shaheer U. Saeed, Yuliang Huang +24

Trackerless freehand ultrasound reconstruction aims to reconstruct 3D volumes from sequences of 2D ultrasound images without relying on external tracking systems. By eliminating th…

eess.IV2025★ 2 cited

FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis

Yaofei Duan, Tao Tan, Zhiyuan Zhu +14

Fetal ultrasound (US) examinations require the acquisition of multiple planes, each providing unique diagnostic information to evaluate fetal development and screening for congenit…

eess.IV2024★ 1 cited

Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation

Junxuan Yu, Rusi Chen, Yongsong Zhou +7

Echocardiography video is a primary modality for diagnosing heart diseases, but the limited data poses challenges for both clinical teaching and machine learning training. Recently…

eess.IV2023★ 502 cited

Segment Anything Model for Medical Images?

Yuhao Huang, Xin Yang, Lian Liu +16

The Segment Anything Model (SAM) is the first foundation model for general image segmentation. It has achieved impressive results on various natural image segmentation tasks. Howev…