Publications citing MIMIC-CXR Database v2.1.0

MIRAGE: Medical image-text pre-training for robustness against noisy environments
Pujin Cheng, Yijin Huang, Li Lin et al. Medical Image Analysis, 2025. Cites: paper

Towards Generalizable Pneumonia Detection: A Federated Multi-Modal Explainable Deep Learning Approach
Marvin Mathew, Angelin Jeba P. International Conference on Automation, Computing and Renewable Systems (ICACRS), 2025. Cites: paper

MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling
Jifan Gao, Md Mahmudur Rahman, John Caskey et al. npj Digital Medicine, 2025. Cites: paper

Comparative Analysis of Multimodal Fusion Techniques for Clinical Severity Classification
Ayush Bajracharya, Yannick Toussaint, Sabeur Aridhi. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

MEVLERG: Medical Vision-Language Encoder for Report Generation
Songwen Pei, Yunfeng Chen, Kai Cong et al. IEEE International Conference on Big Data (BigData), 2025. Cites: paper

CX-Mind: a pioneering multimodal large language model for interleaved reasoning in chest X-ray via curriculum-guided reinforcement learning
Wenjie Li, Yujie Zhang, Haoran Sun et al. Information Fusion, 2025. Cites: paper

Data Curation
Sijing Feng, Christopher McMahan, Anna Hu. Elsevier eBooks, 2025. Cites: paper

Fine-Tuning MedGemma for Clinical Captioning to Enhance Multimodal RAG over Malaysia CPGs
Lee Qi Zun, Mohamad Zulhilmi Bin Abdul Halim, Goh Man Fye. IEEE Conference on Systems, Process and Control, 2025. Cites: paper

Generating Clinically Relevant Reports from Chest X-Rays for Cardiomegaly Diagnosis
Chayan Mondal, Chai Ken Kai, Duc-Son Pham et al. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2025. Cites: paper

MedGemma-Critic: Fine-Tuning Medical Language Models for Domain-Specialised Text Evaluation
Sirui Liu, Jinman Kim. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2025. Cites: paper

A Comprehensive Review on Dataset Pruning for Medical Imaging
Abdellah Sedda, Djamel Gaceb, Fayçal Touazi et al. International Conference on Artificial Intelligence and Innovative Applications (AIIA), 2025. Cites: paper

Ontology-regularized hierarchical transformers for anatomy and phenotype-aware medical image retrieval
Tingfa Yan. Journal of King Saud University - Computer and Information Sciences, 2025. Cites: paper

Federated Averaging with Multi-Label CNN for Robust Lung Disease Detection in Chest
B. Sarada, Saikonda Vaishnavi. International Conference on Image Information Processing (ICIIP), 2025. Cites: paper

Multi-Label Thoracic Disease Detection and Weakly Supervised Localization in Chest X-Rays Using DenseNet121 and Probabilistic CAM Pooling
Ahmad Fahmid, Abdul Ahad, Sanjida Rahman et al. IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), 2025. Cites: paper

Answer Semantics-enhanced Medical Visual Question Answering
Yuliang Liang, Enneng Yang, Guibing Guo et al. Machine Intelligence Research, 2025. Cites: paper

Deep Learning-Based Diagnostic Model for Pneumonia Detection from Chest X-Rays
Shivam Sharma, Shipra Saraswat. International Conference on Intelligent & Innovative Practices in Engineering & Management (IIPEM), 2025. Cites: paper

Extractive Radiology Reporting With Memory-Based Cross-Modal Representations
Yuanhe Tian, Zexuan Yan, Nenan Lyu et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Multimodal vision-language models in chest x-ray analysis: a study of generalization, supervision, and robustness
Batoul Aljaddouh, D. Malathi, Feisal Alaswad. Biomedical Engineering Letters, 2025. Cites: paper

Pixel2Voxel: 3D Reconstruction and Visualization From Limited Number of X-Rays With 3D-Aware Diffusion Models and Iterative Refinement
Gaofeng Deng, Sijie Ding, Arie E. Kaufman. IEEE Transactions on Emerging Topics in Computing, 2025. Cites: paper

Building trustworthy large language model-driven generative recommender system for healthcare decision support: A scoping review of corpus sources, customization techniques, and evaluation frameworks
Shuqi Yang, Mingrui Jing, Shuai Wang et al. Artificial Intelligence in Medicine, 2025. Cites: paper

Contrastive Retrieval-Infused Cross-Modal Attention for Medical Report Generation
Yuan Si, Yuchao Lyu, Xiaohang Li et al. International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), 2025. Cites: paper

MRG-R3: Retrieval-Reflection-Reward via Multimodal LLMs Advances Clinical Automated Medical Report Generation
Jinhua Yu, Zheyuan Liu, Yijie Dong et al. Research Square, 2025. Cites: paper

The Emergence of Foundation Models in U.S. Radiology: A Narrative Review of Clinical Utility, Safety, and Evaluation
Pranay Chetan Uppuluri, Carina W. Yang. Academic Radiology, 2025. Cites: paper

Claim-Level Clinical Fact-Checking of Chest X-Ray Reports via Assertion-Aware Contrastive Vision–Language Learning
Israel Domilin Shyni, Manish Dutt S, Kabilesh Kumar R. International Conference on Intelligent Computing, Information and Control Systems (ICOIICS), 2025. Cites: paper

Beyond Accuracy: Evaluating Fairness in Deep Learning Models for Chest X-ray Classification
Letícia Lopes Mendes Da Silva, Diedre Santos do Carmo, Letícia Rittner. International Symposium on Medical Information Processing and Analysis (SIPAIM), 2025. Cites: paper

EVA-X: a foundation model for general chest x-ray analysis with self-supervised learning
Jingfeng Yao, Xinggang Wang, Yuehao Song et al. npj Digital Medicine, 2025. Cites: paper

Large language model-based uncertainty-adjusted label extraction for artificial intelligence model development in upper extremity radiography
Hanna Kreutzer, Anne-Sophie Caselitz, Thomas Dratsch et al. European Radiology, 2025. Cites: paper

MFDP: Multi-View Feature Integration and Enhanced Disease Prompting for Radiology Report Generation
Yongxu Zhao, Kequan Yang, Yuanchen Wu et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Multimodal Progression-Aware Chest X-Ray Image Generation via Controllable Latent Diffusion Model
Jingge Wang, Puhua Jiang, Jingyun Yang et al. Lecture notes in computer science, 2025. Cites: paper

Who Matters More in Radiology Report Generation: Vision Encoders or Language Models?
Kun Zhao, Yang Du, Rhianna Zhang et al. IEEE ... International Conference on Data Mining workshops, 2025. Cites: paper

Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making
Siyuan Dai, Li Li, Kun Zhao et al. IEEE ... International Conference on Data Mining workshops, 2025. Cites: paper

Enhanced radiology report: Leveraging image enhancement and multi-label transfer learning with attention-based text generation
Hilya Tsaniya, Chastine Fatichah, Nanik Suciati et al. Intelligent Systems with Applications, 2025. Cites: paper

Evaluating Differentially Private Generation of Domain-Specific Text
Yidan Sun, Viktor Schlegel, Srinivasan Kolumam Nandakumar et al. ACM International Conference on Information and Knowledge Management (CIKM), 2025. Cites: paper

Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Paula Andrea Pérez-Toro et al. npj Artificial Intelligence, 2025. Cites: paper

Robust Multimodal Learning Using Low-Rank Approximation and Context-Aware Representations in Medical Imaging
Jiblal Upadhya, Khem Poudel, Jaishree Ranganathan. IEEE International Conference on Future Machine Learning and Data Science (FMLDS), 2025. Cites: paper

Class-incremental learning using push-pull autoencoder for chest X-ray diagnosis
Jayant Mahawar, Angshuman Paul. Computers in Biology and Medicine, 2025. Cites: paper

Utility of Multimodal Large Language Models in Analyzing Chest X-Rays with Incomplete Contextual Information
Choonghan Kim, Seonhee Cho, Joo Heung Yoon. Healthcare Informatics Research, 2025. Cites: paper

Ark + : Supervised training a single high-performance AI foundation model from many differently labeled datasets—no label consolidation required
DongAo Ma, Jiaxuan Pang, S. Senthil Velan et al. Medical Image Analysis, 2025. Cites: paper

Disease Classification and Report Generation from Chest X-Ray Images Using SigLIP and LLaVA
M S Kamalnath, Harsh Kumar, C. V. Jiji. IEEE Region 10 Conference (TENCON), 2025. Cites: paper

Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus
K. Siam, Md Jobair Hossain Faruk, Jerry Cheng et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper

StructGen: Leveraging Structured EHR Prompts and Biomedical BERTs for Chest X-ray Synthesis
Suchit Patel, Karandeep Singh Sodhi, Manik Gupta et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper

CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale
Liang Xiao, Jiawei Hu, Di Wang et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper

Multimodal large language models in medical research and clinical practice: Development, applications, challenges and future
Peng Jun Xu, Shuang Xiang Kan, Jing Jin et al. Neurocomputing, 2025. Cites: paper

Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
Longzhen Yang, Zhangkai Ni, Ying Wen et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper

Dynamic feature fusion guiding and multimodal large language model refining for medical image report generation
Pu Han, Xiong Li, Shenqi Jing et al. Expert Systems with Applications, 2025. Cites: paper

ViT-CBAM: An attention-based deep learning approach for Thoracic disease classification
Salwa Hanum, Israt Binteh Habib, Mohammad Shamsul Arefin. IEEE International Conference on Computing, Applications and Systems (COMPAS), 2025. Cites: paper

Self-Attentive Deep Fusion Framework with Transformer-Based Semantics for Emergency Head CT Reporting
Selene Tomassini, Abdallah Zeggada, Carlo Cosimo Quattrocchi et al. IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2025. Cites: paper

Generative AI for developing foundation models in radiology and imaging: engineering perspectives
June‐Goo Lee, Sunggu Kyung, Namkug Kim. Biomedical Engineering Letters, 2025. Cites: paper

GlomerCap: Interpretable Cross-modal Attention Framework for Report Generation from Glomerular Immunofluorescence Images
Haoran Liu, Xifeng Li, Ping Zhang et al. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2025. Cites: paper

Comprehensive Comparative Analysis of State-of-the-Art Medical Vision-Language Models: LLaVA-Med, VILA-M3, and BiomedCLIP Performance Evaluation on Chest Radiography Datasets
Laaouane Tarik, Mohamed Radouane. International Conference on Intelligent Systems: Theories and Applications, 2025. Cites: paper

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