:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hu, Shishuai, Liao, Zehui, Liu, Zeyou, Xia, Yong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2405.08270
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification
by: Liao, Zehui, et al.
Published: (2024)

Instance-dependent Label Distribution Estimation for Learning with Label Noise
by: Liao, Zehui, et al.
Published: (2022)

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

V-Loop: Visual Logical Loop Verification for Hallucination Detection in Medical Visual Question Answering
by: Jin, Mengyuan, et al.
Published: (2026)

UniVRSE: Unified Vision-conditioned Response Semantic Entropy for Hallucination Detection in Medical Vision-Language Models
by: Liao, Zehui, et al.
Published: (2025)

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
by: Chen, Ziyang, et al.
Published: (2023)

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

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
by: Ni, Jiayi, et al.
Published: (2023)

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

Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation
by: Xu, Chenlin, et al.
Published: (2025)

A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
by: Yu, Wenjing, et al.
Published: (2025)

Single Image Test-Time Adaptation for Segmentation
by: Janouskova, Klara, et al.
Published: (2023)

MedUHIP: Towards Human-In-the-Loop Medical Segmentation
by: Zhu, Jiayuan, et al.
Published: (2024)

SAM-aware Test-time Adaptation for Universal Medical Image Segmentation
by: Wu, Jianghao, et al.
Published: (2025)

Blackbox Adaptation for Medical Image Segmentation
by: Paranjape, Jay N., et al.
Published: (2024)

Test-Time Modality Generalization for Medical Image Segmentation
by: Nam, Ju-Hyeon, et al.
Published: (2025)

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

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

Model Agnostic Preference Optimization for Medical Image Segmentation
by: Nam, Yunseong, et al.
Published: (2025)

Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
by: Dong, Haoyu, et al.
Published: (2024)

EviATTA: Evidential Active Test-Time Adaptation for Medical Segment Anything Models
by: Chen, Jiayi, et al.
Published: (2026)

SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation
by: Du, Xiaogang, et al.
Published: (2026)

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
by: Yao, Yihong, et al.
Published: (2026)

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation
by: He, Xingxin, et al.
Published: (2025)

Spatial-aware Symmetric Alignment for Text-guided Medical Image Segmentation
by: Liao, Linglin, et al.
Published: (2025)

A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation
by: Wu, Jianghao, et al.
Published: (2026)

Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 -- Instance Segmentation Track
by: Chen, Zehui, et al.
Published: (2020)

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation
by: Aleem, Sidra, et al.
Published: (2024)

Multi-Scale Global-Instance Prompt Tuning for Continual Test-time Adaptation in Medical Image Segmentation
by: Li, Lingrui, et al.
Published: (2026)

Segmentation Assisted Incremental Test Time Adaptation in an Open World
by: Sreenivas, Manogna, et al.
Published: (2025)

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)

PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation
by: Zhang, Chuyan, et al.
Published: (2024)

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation
by: Li, Linhao, et al.
Published: (2025)

SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
by: Chen, Tianrun, et al.
Published: (2025)

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

From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
by: Çetinkaya, Evren, et al.
Published: (2026)

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

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
by: Guo, Jingjie, et al.
Published: (2023)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
by: Li, Xingjian, et al.
Published: (2025)