Imagen de Portada

AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Haojin, Li, Heng, Chen, Jianyu, Zhong, Rihan, Niu, Ke, Fu, Huazhu, Liu, Jiang
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
por: Li, Heng, et al.
Publicado: (2024)

SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation
por: Liu, Xinya, et al.
Publicado: (2025)

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
por: Zeng, Hongye, et al.
Publicado: (2024)

SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments
por: Kothandaraman, Divya, et al.
Publicado: (2020)

Fundus Image Quality Assessment and Enhancement: a Systematic Review
por: Li, Heng, et al.
Publicado: (2025)

CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
por: Cho, Hyeonwoo, et al.
Publicado: (2024)

PointSFDA: Source-free Domain Adaptation for Point Cloud Completion
por: He, Xing, et al.
Publicado: (2025)

Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning
por: Zhang, Ziqi, et al.
Publicado: (2025)

HEAL: Learning-Free Source Free Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
por: Shi, Yulong, et al.
Publicado: (2025)

FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
por: He, Along, et al.
Publicado: (2024)

Agile Multi-Source-Free Domain Adaptation
por: Li, Xinyao, et al.
Publicado: (2024)

SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal Consistency
por: Xie, Yiping, et al.
Publicado: (2024)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
por: Huang, Kaiwen, et al.
Publicado: (2025)

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation
por: Yin, Siqi, et al.
Publicado: (2025)

Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision-Language Models
por: Li, Yongguang, et al.
Publicado: (2025)

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

Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation
por: Bui-Tran, Quang-Khai, et al.
Publicado: (2025)

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

DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination
por: Ou, Mingyang, et al.
Publicado: (2025)

FSDA-DG: Improving Cross-Domain Generalizability of Medical Image Segmentation with Few Source Domain Annotations
por: Ye, Zanting, et al.
Publicado: (2023)

Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
por: Chen, Xi, et al.
Publicado: (2024)

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
por: Wang, Lianyu, et al.
Publicado: (2022)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
por: Huang, Kaiwen, et al.
Publicado: (2025)

Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation
por: Gao, Yuan, et al.
Publicado: (2026)

DB-SAM: Delving into High Quality Universal Medical Image Segmentation
por: Qin, Chao, et al.
Publicado: (2024)

Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
por: Wang, Xin, et al.
Publicado: (2025)

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
por: Huai, Zheang, et al.
Publicado: (2025)

Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior
por: Jeon, Young Seok, et al.
Publicado: (2024)

Structure Unbiased Adversarial Model for Medical Image Segmentation
por: Zhang, Tianyang, et al.
Publicado: (2022)

Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
por: Zou, Ke, et al.
Publicado: (2023)

Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation
por: Chen, Ziyang, et al.
Publicado: (2024)

Unified Source-Free Domain Adaptation
por: Tang, Song, et al.
Publicado: (2024)

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
por: Zhu, Lei, et al.
Publicado: (2025)

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
por: Huang, Kaiwen, et al.
Publicado: (2024)

ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation
por: Islam, Md Shazid, et al.
Publicado: (2023)

Unleashing Diffusion and State Space Models for Medical Image Segmentation
por: Wu, Rong, et al.
Publicado: (2025)

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling
por: Jeon, Young Seok, et al.
Publicado: (2025)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation
por: Gu, Yunqi, et al.
Publicado: (2023)

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

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis
por: Qiao, Qiang, et al.
Publicado: (2024)