DUCX: Decomposing Unfairness in Tool-Using Chest X-ray Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Zikang, Jin, Ruinan, Li, Xiaoxiao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
by: Jin, Ruinan, et al.
Published: (2024)
by: Jin, Ruinan, et al.
Published: (2024)
Which Tool Response Should I Trust? Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Learning
by: Huai, Zheang, et al.
Published: (2026)
by: Huai, Zheang, et al.
Published: (2026)
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
by: Jin, Ruinan, et al.
Published: (2024)
by: Jin, Ruinan, et al.
Published: (2024)
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
by: Xu, Zikang, et al.
Published: (2024)
by: Xu, Zikang, et al.
Published: (2024)
LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-ray
by: Kang, Myeongkyun, et al.
Published: (2026)
by: Kang, Myeongkyun, et al.
Published: (2026)
Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA
by: Jin, Ruinan, et al.
Published: (2026)
by: Jin, Ruinan, et al.
Published: (2026)
Forgettable Federated Linear Learning with Certified Data Unlearning
by: Jin, Ruinan, et al.
Published: (2023)
by: Jin, Ruinan, et al.
Published: (2023)
XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis
by: Young, Shawn, et al.
Published: (2026)
by: Young, Shawn, et al.
Published: (2026)
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
by: Liu, Kang, et al.
Published: (2025)
by: Liu, Kang, et al.
Published: (2025)
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
by: Jin, Ruinan, et al.
Published: (2024)
by: Jin, Ruinan, et al.
Published: (2024)
Thought Graph Traversal for Test-time Scaling in Chest X-ray VLLMs
by: Yao, Yue, et al.
Published: (2025)
by: Yao, Yue, et al.
Published: (2025)
See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis
by: Jin, Ruinan, et al.
Published: (2025)
by: Jin, Ruinan, et al.
Published: (2025)
Can Generalist Vision Language Models (VLMs) Rival Specialist Medical VLMs? Benchmarking and Strategic Insights
by: Zhong, Yuan, et al.
Published: (2025)
by: Zhong, Yuan, et al.
Published: (2025)
Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning
by: Feng, Wangyu, et al.
Published: (2026)
by: Feng, Wangyu, et al.
Published: (2026)
Augmenting Chest X-ray Datasets with Non-Expert Annotations
by: Cheplygina, Veronika, et al.
Published: (2023)
by: Cheplygina, Veronika, et al.
Published: (2023)
Fairness and Robustness of CLIP-Based Models for Chest X-rays
by: Sourget, Théo, et al.
Published: (2025)
by: Sourget, Théo, et al.
Published: (2025)
Explaining Chest X-ray Pathology Models using Textual Concepts
by: Sadashivaiah, Vijay, et al.
Published: (2024)
by: Sadashivaiah, Vijay, et al.
Published: (2024)
Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning
by: Pham, Ha-Hieu, et al.
Published: (2026)
by: Pham, Ha-Hieu, et al.
Published: (2026)
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
by: Jiménez-Sánchez, Amelia, et al.
Published: (2022)
by: Jiménez-Sánchez, Amelia, et al.
Published: (2022)
Weakly Supervised Tuberculosis Localization in Chest X-rays through Knowledge Distillation
by: Shawkat, Marshal Ashif, et al.
Published: (2025)
by: Shawkat, Marshal Ashif, et al.
Published: (2025)
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
by: Yao, Jingfeng, et al.
Published: (2024)
by: Yao, Jingfeng, et al.
Published: (2024)
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
by: Cao, Weiwei, et al.
Published: (2024)
by: Cao, Weiwei, et al.
Published: (2024)
Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning
by: Yan, Yang, et al.
Published: (2025)
by: Yan, Yang, et al.
Published: (2025)
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning
by: Guan, Jinquan, et al.
Published: (2025)
by: Guan, Jinquan, et al.
Published: (2025)
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays
by: Dack, Ethan, et al.
Published: (2025)
by: Dack, Ethan, et al.
Published: (2025)
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
by: Wu, Puzhen, et al.
Published: (2025)
by: Wu, Puzhen, et al.
Published: (2025)
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models
by: Cheng, Sheng, et al.
Published: (2024)
by: Cheng, Sheng, et al.
Published: (2024)
RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows
by: Zhang, Kai, et al.
Published: (2025)
by: Zhang, Kai, et al.
Published: (2025)
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
by: Li, Xinran, et al.
Published: (2025)
by: Li, Xinran, et al.
Published: (2025)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance
by: Ye, Shuchang, et al.
Published: (2024)
by: Ye, Shuchang, et al.
Published: (2024)
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
by: Shaaban, Mai A., et al.
Published: (2024)
by: Shaaban, Mai A., et al.
Published: (2024)
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
by: Chen, Zhihong, et al.
Published: (2024)
by: Chen, Zhihong, et al.
Published: (2024)
MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays
by: Cho, Sunghwan Steve, et al.
Published: (2026)
by: Cho, Sunghwan Steve, et al.
Published: (2026)
Chest X-ray Foundation Model with Global and Local Representations Integration
by: Yang, Zefan, et al.
Published: (2025)
by: Yang, Zefan, et al.
Published: (2025)
CGF-DETR: Cross-Gated Fusion DETR for Enhanced Pneumonia Detection in Chest X-rays
by: Wu, Yefeng, et al.
Published: (2025)
by: Wu, Yefeng, et al.
Published: (2025)
Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset
by: Choi, Geon, et al.
Published: (2025)
by: Choi, Geon, et al.
Published: (2025)
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
by: Heiman, Alice, et al.
Published: (2024)
by: Heiman, Alice, et al.
Published: (2024)
Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models
by: Vilouras, Konstantinos, et al.
Published: (2025)
by: Vilouras, Konstantinos, et al.
Published: (2025)
Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2
by: Islam, Md. Rakibul, et al.
Published: (2025)
by: Islam, Md. Rakibul, et al.
Published: (2025)
Similar Items
-
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
by: Jin, Ruinan, et al.
Published: (2024) -
Which Tool Response Should I Trust? Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Learning
by: Huai, Zheang, et al.
Published: (2026) -
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
by: Jin, Ruinan, et al.
Published: (2024) -
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
by: Xu, Zikang, et al.
Published: (2024) -
LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-ray
by: Kang, Myeongkyun, et al.
Published: (2026)