Cover Image

MedEBench: Diagnosing Reliability in Text-Guided Medical Image Editing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Minghao, He, Zhitao, Fan, Zhiyuan, Wang, Qingyun, Fung, Yi R.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
by: Ma, Yiwei, et al.
Published: (2024)

DescriptorMedSAM: Language-Image Fusion with Multi-Aspect Text Guidance for Medical Image Segmentation
by: Zhang, Wenjie, et al.
Published: (2025)

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
by: Mao, Jiawei, et al.
Published: (2025)

Text Guided Image Editing with Automatic Concept Locating and Forgetting
by: Li, Jia, et al.
Published: (2024)

SURE-Med: Systematic Uncertainty Reduction for Enhanced Reliability in Medical Report Generation
by: Gu, Yuhang, et al.
Published: (2025)

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward
by: Fan, Zhiyuan, et al.
Published: (2025)

MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
by: Xi, Suyang, et al.
Published: (2026)

Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement
by: Chang, Zhiyuan, et al.
Published: (2024)

Training-Free Text-Guided Image Editing with Visual Autoregressive Model
by: Wang, Yufei, et al.
Published: (2025)

Case-Aware Medical Image Classification with Multimodal Knowledge Graphs and Reliability-Guided Refinement
by: Xu, Yiming, et al.
Published: (2026)

Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
by: Deng, Ziye, et al.
Published: (2025)

MedSAM3: Delving into Segment Anything with Medical Concepts
by: Liu, Anglin, et al.
Published: (2025)

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
by: Wu, Keming, et al.
Published: (2025)

MieDB-100k: A Comprehensive Dataset for Medical Image Editing
by: Lai, Yongfan, et al.
Published: (2026)

LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing
by: Soni, Achint, et al.
Published: (2025)

RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels
by: Li, Chengzhou, et al.
Published: (2026)

RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards
by: Ye, Junyan, et al.
Published: (2025)

Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing
by: Kim, Yoonjeon, et al.
Published: (2024)

MedFILIP: Medical Fine-grained Language-Image Pre-training
by: Liang, Xinjie, et al.
Published: (2025)

MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
by: Yu, Pengyang, et al.
Published: (2025)

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment
by: Sun, Shangkun, et al.
Published: (2025)

Text-Driven Image Editing via Learnable Regions
by: Lin, Yuanze, et al.
Published: (2023)

SINE: SINgle Image Editing with Text-to-Image Diffusion Models
by: Zhang, Zhixing, et al.
Published: (2022)

DragText: Rethinking Text Embedding in Point-based Image Editing
by: Choi, Gayoon, et al.
Published: (2024)

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
by: Xun, Siyi, et al.
Published: (2025)

An Interpretable Local Editing Model for Counterfactual Medical Image Generation
by: Min, Hyungi, et al.
Published: (2026)

CrossMed: A Multimodal Cross-Task Benchmark for Compositional Generalization in Medical Imaging
by: Singh, Pooja, et al.
Published: (2025)

MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance
by: Bai, Xuehai, et al.
Published: (2026)

RegionMed-CLIP: A Region-Aware Multimodal Contrastive Learning Pre-trained Model for Medical Image Understanding
by: Fang, Tianchen, et al.
Published: (2025)

HYPE-EDIT-1: Benchmark for Measuring Reliability in Frontier Image Editing Models
by: Chan, Wing, et al.
Published: (2026)

MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
by: Liu, Shengyuan, et al.
Published: (2026)

Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training
by: Liu, Anglin, et al.
Published: (2026)

On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
by: Vice, Jordan, et al.
Published: (2024)

Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2024)

TGC-Net: A Structure-Aware and Semantically-Aligned Framework for Text-Guided Medical Image Segmentation
by: Lin, Gaoren, et al.
Published: (2025)

TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
by: Chen, Ruidong, et al.
Published: (2025)

Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
by: Luo, Luyang, et al.
Published: (2024)

CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing
by: Jiang, Ziqi, et al.
Published: (2024)

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching
by: Caetano, Francisco, et al.
Published: (2025)

MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities
by: Sheikh, Tooba Tehreem, et al.
Published: (2025)