Cover Image

Towards Robust In-Context Learning for Medical Image Segmentation via Data Synthesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Jiesi, Yang, Yanwu, Ye, Zhiyu, Ye, Chenfei, Peng, Hanyang, Cao, Jianfeng, Ma, Ting
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

Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning
by: Hu, Jiesi, et al.
Published: (2025)

Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement
by: Hu, Jiesi, et al.
Published: (2025)

Neuroverse3D: Developing In-Context Learning Universal Model for Neuroimaging in 3D
by: Hu, Jiesi, et al.
Published: (2025)

Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
by: Yang, Yanwu, et al.
Published: (2024)

MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
by: Yang, Yanwu, et al.
Published: (2025)

Centerline Boundary Dice Loss for Vascular Segmentation
by: Shi, Pengcheng, et al.
Published: (2024)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)

Show and Segment: Universal Medical Image Segmentation via In-Context Learning
by: Gao, Yunhe, et al.
Published: (2025)

Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
by: Chi, Hanyang, et al.
Published: (2024)

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation
by: Yang, Jie, et al.
Published: (2026)

HippMetric: A skeletal-representation-based framework for cross-sectional and longitudinal hippocampal substructural morphometry
by: Gao, Na, et al.
Published: (2025)

Cycle Context Verification for In-Context Medical Image Segmentation
by: Hu, Shishuai, et al.
Published: (2025)

Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
by: Gao, Yunhe, et al.
Published: (2023)

RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
by: Zhu, Yazhou, et al.
Published: (2024)

From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
by: Wang, Zhisong, et al.
Published: (2024)

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images
by: Liu, Ye, et al.
Published: (2021)

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training
by: Chen, Jiamin, et al.
Published: (2024)

Rethinking Diffusion-Based Image Generators for Fundus Fluorescein Angiography Synthesis on Limited Data
by: Yu, Chengzhou, et al.
Published: (2024)

Adaptive Mix for Semi-Supervised Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2024)

Context-driven Missing-Modality Learning for Robust Medical Diagnosis with Image-Tabular Data
by: Liu, Tianling, et al.
Published: (2026)

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
by: Tan, Shengbo, et al.
Published: (2024)

Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
by: Su, Junming, et al.
Published: (2024)

SynMatch: Rethinking Consistency in Medical Image Segmentation with Sparse Annotations
by: Shen, Zhiqiang, et al.
Published: (2025)

Tyche: Stochastic In-Context Learning for Medical Image Segmentation
by: Rakic, Marianne, et al.
Published: (2024)

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
by: Chen, Ziyang, et al.
Published: (2024)

Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation
by: Wang, Hanhui, et al.
Published: (2024)

Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2025)

Geometrical Cross-Attention and Nonvoid Voxelization for Efficient 3D Medical Image Segmentation
by: Yuan, Chenxin, et al.
Published: (2026)

CENet: Context Enhancement Network for Medical Image Segmentation
by: Bozorgpour, Afshin, et al.
Published: (2025)

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
by: Wang, Guoan, et al.
Published: (2024)

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
by: Xing, Zhaohu, et al.
Published: (2024)

DCFFSNet: Deep Connectivity Feature Fusion Separation Network for Medical Image Segmentation
by: Zhang, Mingda, et al.
Published: (2025)

Learning from Disagreement: A Group Decision Simulation Framework for Robust Medical Image Segmentation
by: Zhong, Chen, et al.
Published: (2025)

Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation
by: Ye, Zanting, et al.
Published: (2025)

Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation
by: Ye, Yuxin, et al.
Published: (2025)

Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation
by: Ye, Chengyang, et al.
Published: (2024)

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
by: Liao, Chenfei, et al.
Published: (2025)

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation
by: Bao, Jie, et al.
Published: (2024)

Robust Box Prompt based SAM for Medical Image Segmentation
by: Huang, Yuhao, et al.
Published: (2024)

UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
by: Yang, Zemin, et al.
Published: (2025)