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20202026
most citedSegment Anything Model for Medical Images?

502 citations · 561 across the 49 of their papers we have counts for

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16 papers · 1 filter

eess.IV2026

AWR-Net: Decoupling Anatomy and Appearance for 3D Fetal Brain Ultrasound Synthesis

Yuhuan Lu, Sergio Valencia, Yuanji Zhang +4

Three-dimensional fetal brain ultrasound offers non-ionizing, cost-effective imaging with rich spatial information for comprehensive anatomical assessment, yet its development rema…

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

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

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

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…

eess.IV2023★ 1 cited

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

Han Zhou, Dong Ni, Ao Chang +10

Ultrasound (US) imaging is indispensable in clinical practice. To diagnose certain diseases, sonographers must observe corresponding dynamic anatomic structures to gather comprehen…

eess.IV2023★ 1 cited

GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration

Haoran Dou, Ning Bi, Luyi Han +7

Deep learning-based deformable registration methods have been widely investigated in diverse medical applications. Learning-based deformable registration relies on weighted objecti…

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…

eess.IV2022

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

Jiamin Liang, Xin Yang, Yuhao Huang +7

Ultrasound (US) imaging is widely used for anatomical structure inspection in clinical diagnosis. The training of new sonographers and deep learning based algorithms for US image a…

eess.IV2021

Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring

Chao Zhu, Hang Dong, Jinshan Pan +4

The success of the state-of-the-art video deblurring methods stems mainly from implicit or explicit estimation of alignment among the adjacent frames for latent video restoration.…

eess.IV2021★ 1 cited

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

Xindi Hu, Limin Wang, Xin Yang +9

The ultrasound (US) screening of the infant hip is vital for the early diagnosis of developmental dysplasia of the hip (DDH). The US diagnosis of DDH refers to measuring alpha and…

eess.IV2021

Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound

Xin Yang, Haoran Dou, Ruobing Huang +9

Accurate standard plane (SP) localization is the fundamental step for prenatal ultrasound (US) diagnosis. Typically, dozens of US SPs are collected to determine the clinical diagno…

eess.IV2020★ 1 cited

Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound

Wang Jian, Miao Juzheng, Yang Xin +9

Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wa…

eess.IV2020★ 5 cited

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer

Zhendong Liu, Xin Yang, Rui Gao +9

Deep Neural Networks (DNNs) suffer from the performance degradation when image appearance shift occurs, especially in ultrasound (US) image segmentation. In this paper, we propose…