Cover Image

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiaoran, Chen, Eric Z., Zhao, Lin, Chen, Xiao, Liu, Yikang, Maihe, Boris, Duncan, James S., Chen, Terrence, Sun, Shanhui
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
by: Zhao, Lin, et al.
Published: (2024)

Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography
by: Zhao, Lin, et al.
Published: (2025)

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
by: Pan, Shaoyan, et al.
Published: (2024)

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
by: Liu, Yikang, et al.
Published: (2024)

DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
by: Demir, Basar, et al.
Published: (2025)

Federated Data Model
by: Chen, Xiao, et al.
Published: (2024)

RAU: Reference-based Anatomical Understanding with Vision Language Models
by: Li, Yiwei, et al.
Published: (2025)

Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
by: Qu, Jingguo, et al.
Published: (2025)

Adapting a Segmentation Foundation Model for Medical Image Classification
by: Gu, Pengfei, et al.
Published: (2025)

VFM-ISRefiner: Towards Better Adapting Vision Foundation Models for Interactive Segmentation of Remote Sensing Images
by: Wang, Deliang, et al.
Published: (2025)

Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
by: Zou, Xuechao, et al.
Published: (2024)

Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation
by: Chen, Bowen, et al.
Published: (2026)

Render-FM: A Foundation Model for Real-time Photorealistic Volumetric Rendering
by: Gao, Zhongpai, et al.
Published: (2025)

Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)

DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation
by: Chen, Renqi, et al.
Published: (2024)

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance
by: Wang, Teng, et al.
Published: (2025)

GuiDINO: Rethinking Vision Foundation Model in Medical Image Segmentation
by: Liang, Zhuonan, et al.
Published: (2026)

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
by: Lin, Xian, et al.
Published: (2023)

Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
by: Chen, Zhaozheng, et al.
Published: (2023)

Subsampled Randomized Fourier GaLore for Adapting Foundation Models in Depth-Driven Liver Landmark Segmentation
by: Lin, Yun-Chen, et al.
Published: (2025)

UltraUNet: Real-Time Ultrasound Tongue Segmentation for Diverse Linguistic and Imaging Conditions
by: Myrgyyassov, Alisher, et al.
Published: (2025)

Boosting Medical Image Classification with Segmentation Foundation Model
by: Gu, Pengfei, et al.
Published: (2024)

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation
by: Liang, Pengchen, et al.
Published: (2025)

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially
by: Yang, Jingyun, et al.
Published: (2025)

Adapting Foundation Models for Annotation-Efficient Adnexal Mass Segmentation in Cine Images
by: Fati, Francesca, et al.
Published: (2026)

Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
by: Fuster-Barceló, Caterina, et al.
Published: (2026)

These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion
by: Liu, Chuang-Wei, et al.
Published: (2024)

Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
by: Wei, Zhixiang, et al.
Published: (2023)

SimMAT: Exploring Transferability from Vision Foundation Models to Any Image Modality
by: Lei, Chenyang, et al.
Published: (2024)

Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
by: Zhang, Bowen, et al.
Published: (2024)

ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation
by: Chen, Shiyun, et al.
Published: (2023)

Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
by: Wei, Zhixiang, et al.
Published: (2025)

Progressive Test Time Energy Adaptation for Medical Image Segmentation
by: Zhang, Xiaoran, et al.
Published: (2025)

Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings
by: Moenck, Keno, et al.
Published: (2024)

Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
by: Shang, Jiang, et al.
Published: (2025)

Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation
by: Niu, Quanzhu, et al.
Published: (2025)

Automating Catheterization Labs with Real-Time Perception
by: Yang, Fan, et al.
Published: (2024)

RAP: Retrieve, Adapt, and Prompt-Fit for Training-Free Few-Shot Medical Image Segmentation
by: Mao, Zhihao, et al.
Published: (2026)