Publications citing MIMIC-CXR Database v2.1.0

MedM-VL: What Makes a Good Medical LVLM?
Yiming Shi, Shaoshuai Yang, Xun Zhu et al. Lecture notes in computer science, 2025. Cites: paper

MedPAO: A Protocol-Driven Agent for Structuring Medical Reports
Shrish Shrinath Vaidya, Gowthamaan Palani, Sidharth Ramesh et al. Lecture notes in computer science, 2025. Cites: paper

MedXpert-CAD: A Multimodal Multi-agentic System for Clinical Imaging Analysis via Model Context Protocol LLM-Driven Agentic Workflows
Mukhlis Raza, Saied Salem, Afnan Habib et al. Lecture notes in computer science, 2025. Cites: paper

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
David S. Restrepo, Sofia Ira Ktena, Maria Vakalopoulou et al. Lecture notes in computer science, 2025. Cites: paper

Threshold optimization in AI chest radiography analysis: integrating real-world data and clinical subgroups
Jan Rudolph, Christian Huemmer, Alexander Preuhs et al. European Radiology Experimental, 2025. Cites: dataset

A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data
Tobias Susetzky, Huaqi Qiu, Rickmer Braren et al. Lecture notes in computer science, 2025. Cites: dataset, paper

Few-shot diagnosis of chest x-ray images using auxiliary information guided semi-deterministic infinite mixture prototypes
Sandhya Gayatri Prabhala, Devi Prasad Maharathy, Angshuman Paul. Computers in Biology and Medicine, 2025. Cites: paper

Weighted Stratification in Multi-label Contrastive Learning for Long-Tailed Medical Image Classification
Ying-Chih Lin, Yong-Sheng Chen. Lecture notes in computer science, 2025. Cites: paper

Advancing Medical Representation Learning Through High-Quality Data
Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar et al. Lecture notes in computer science, 2025. Cites: paper

Dia-LLaMA: Towards Large Language Model-Driven CT Report Generation
Zhixuan Chen, Luyang Luo, Yequan Bie et al. Lecture notes in computer science, 2025. Cites: paper

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging
Joshua Scheuplein, Maximilian Rohleder, Andreas Maier et al. Lecture notes in computer science, 2025. Cites: paper

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning
Haoyue Guan, Yuwei Dai, Shadi Afyouni et al. Lecture notes in computer science, 2025. Cites: paper

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
Xing‐Xing Shen, Justin Szeto, Mingyang Li et al. Lecture notes in computer science, 2025. Cites: paper

Few-Shot, Now for Real: Medical VLMs Adaptation Without Balanced Sets or Validation
Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig et al. Lecture notes in computer science, 2025. Cites: paper

GoCa: Trustworthy Multi-modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs
Pengyu Dai, Yafei Ou, Y.S. Yang et al. Lecture notes in computer science, 2025. Cites: paper

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation
Hyungi Min, T. You, Hangyeul Lee et al. Lecture notes in computer science, 2025. Cites: paper

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina et al. Lecture notes in computer science, 2025. Cites: paper

LEAVS: An LLM-Based Labeler for Abdominal CT Supervision
Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein et al. Lecture notes in computer science, 2025. Cites: paper

MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-Shot Dermatological Assessment
Siyuan Yan, X. Li, Ming Hu et al. Lecture notes in computer science, 2025. Cites: paper

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
Qilong Xing, Zikai Song, Youjia Zhang et al. Lecture notes in computer science, 2025. Cites: paper

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
Huihui Xu, Yuanpeng Nie, Hualiang Wang et al. Lecture notes in computer science, 2025. Cites: paper

Medical Contrastive Learning of Positive and Negative Mentions
Weilong Wu, Jingzhi Yang, Xun Zhu et al. Lecture notes in computer science, 2025. Cites: paper

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-Ray Diagnosis
Zelong Liu, Huachao Zhu, Zhichao Sun et al. Lecture notes in computer science, 2025. Cites: paper

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-adjustment
Junhyun Park, Chanyu Moon, Donghwan Lee et al. Lecture notes in computer science, 2025. Cites: paper

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-Offs in Medical Imaging
Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu et al. Lecture notes in computer science, 2025. Cites: paper

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
Chanyoung Kim, Dayun Ju, Jin-Yeong Kim et al. Lecture notes in computer science, 2025. Cites: paper

PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts
Ta Duc Huy, Abin Shoby, Sen Tran et al. Lecture notes in computer science, 2025. Cites: paper

Phrase-Grounded Fact-Checking for Automatically Generated Chest X-Ray Reports
Razi Mahmood, Diego Machado Reyes, Joy Tzung-Yu Wu et al. Lecture notes in computer science, 2025. Cites: paper

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
Difei Gu, Yunhe Gao, Yang Zhou et al. Lecture notes in computer science, 2025. Cites: paper

RadIR: A Scalable Framework for Multi-grained Medical Image Retrieval via Radiology Report Mining
Tengfei Zhang, Ziheng Zhao, Chaoyi Wu et al. Lecture notes in computer science, 2025. Cites: paper

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
Hong Liu, Dong Wei, Zhe Xu et al. Lecture notes in computer science, 2025. Cites: paper

SPEC-CXR: Advancing Clinical Safety Through Entity-Level Performance Evaluation of Chest X-ray Report Generation
Jung Oh Lee, Junwoo Cho, Junha Kim et al. Lecture notes in computer science, 2025. Cites: paper

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-World Breast MRI Classification
Jong Bum Won, Wesley De Neve, Joris Vankerschaver A et al. Lecture notes in computer science, 2025. Cites: paper

Towards Interpretable Counterfactual Generation via Multimodal Autoregression
Chenglong Ma, Yuanfeng Ji, Jin Ye et al. Lecture notes in computer science, 2025. Cites: paper

Trustworthy Few-Shot Transfer of Medical VLMs Through Split Conformal Prediction
Julio Silva-Rodríguez, Ismail Ben Ayed, José Dolz. Lecture notes in computer science, 2025. Cites: paper

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
Zehui Liao, Shishuai Hu, Ke Zou et al. Lecture notes in computer science, 2025. Cites: paper

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-Rays
Chenlang Yi, Zizhan Xiong, Qi Qi et al. Lecture notes in computer science, 2025. Cites: paper

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage
Youngjin Yoo, Bogdan Georgescu, Yanbo Zhang et al. Lecture notes in computer science, 2025. Cites: paper

Causal Representation Learning with Observational Grouping for CXR Classification
Rajat Rasal, Avinash Kori, Ben Glocker. Lecture notes in computer science, 2025. Cites: paper

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
Yixiong Chen, Shawn Xu, Andrew Sellergren et al. Lecture notes in computer science, 2025. Cites: paper

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data
Nabil Mouadden, Othmane Laousy, Rafael Marini et al. Lecture notes in computer science, 2025. Cites: paper

Contrastive Knowledge-Guided Large Language Models for Medical Report Generation
Yuyang Sha, Hongxin Pan, Weiyu Meng et al. Lecture notes in computer science, 2025. Cites: paper

Fairness and Robustness of CLIP-Based Models for Chest X-Rays
Théo Sourget, David S. Restrepo, Céline Hudelot et al. Lecture notes in computer science, 2025. Cites: dataset, paper

ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation
Shuaipeng Ding, Mengnan Fan, Mingyong Li et al. Lecture notes in computer science, 2025. Cites: paper

meval: A Statistical Toolbox for Fine-Grained Model Performance Analysis
Dishantkumar Sutariya, Eike Petersen. Lecture notes in computer science, 2025. Cites: paper

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Kumar Papineni et al. Lecture notes in computer science, 2025. Cites: paper

Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval
Baochang Zhang, Jia Chen, Shuting Liu et al. Lecture notes in computer science, 2025. Cites: paper

ShortCXR: Benchmarking Self-supervised Learning for Shortcut Mitigation in Chest X-Ray Diagnostics
You-Qi Chang-Liao, Po‐Chih Kuo. Lecture notes in computer science, 2025. Cites: dataset, paper

CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories
Mehak Arora, Ayman Ali, Kaiyuan Wu et al. Lecture notes in computer science, 2025. Cites: paper

MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation
Yumian Yu, Guoheng Huang, Zhe Tan et al. Journal of Biomedical Informatics, 2025. Cites: paper

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