Publications citing MIMIC-CXR Database v2.1.0

A fully open AI foundation model applied to chest radiography
DongAo Ma, Jiaxuan Pang, Michael B. Gotway et al. Nature, 2025. Cites: paper

Eyes Tell the Truth: Gaze Val Highlights Shortcomings of Generative AI in Medical Imaging
David Wong, Bin Wang, Görkem Durak et al. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025. Cites: paper

Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging
Amar Kumar, Anita Kriz, Barak Pertzov et al. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025. Cites: paper

Retrieval augmented generation for large language models in healthcare: A systematic review
Lameck Mbangula Amugongo, Pietro Mascheroni, Steven Brooks et al. PLOS Digital Health, 2025. Cites: paper

CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset
Xiao Wang, Fuling Wang, Yuehang Li et al. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, 2025. Cites: paper

Towards All-in-One Medical Image Re-Identification
Yuan Tian, Kaiyuan Ji, Rongzhao Zhang et al. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, 2025. Cites: paper

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
Vishwesh Nath, Wenqi Li, Dong Yang et al. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, 2025. Cites: paper

Vision-language foundation models for medical imaging: a review of current practices and innovations
Ji Seung Ryu, Hyunyoung Kang, Yuseong Chu et al. Biomedical Engineering Letters, 2025. Cites: paper

Efficiency and Quality of Generative AI–Assisted Radiograph Reporting
Jonathan Huang, Matthew T. Wittbrodt, Caitlin N. Teague et al. JAMA Network Open, 2025. Cites: paper

Robust Detection of Out-of-Distribution Shifts in Chest X-ray Imaging
Fatemeh Karimi, Farzan Farnia, K.T. Bae. Journal of Imaging Informatics in Medicine, 2025. Cites: paper

Enhancing Multi-Label Chest X-Ray Classification Using an Improved Ranking Loss
Muhammad Shehzad Hanif, Muhammad Bilal, Abdullah H. Alsaggaf et al. Bioengineering, 2025. Cites: paper

IMGEF: integrated multimodal graph-enhanced framework for radiology report generation
Muhammad Usman, Xiaodi Hou, Yi Guo et al. Multimedia Systems, 2025. Cites: paper

MedBLIP: A multimodal method of medical question-answering based on fine-tuning large language model
Lejun Gong, Jiaming Yang, Shengyuan Han et al. Computerized Medical Imaging and Graphics, 2025. Cites: paper

Hybrid graph-based radiology report generation
Dengdi Sun, Chaofan Mu, Xuyang Fan et al. Expert Systems with Applications, 2025. Cites: paper

Borrowing treasures from neighbors: In-context learning for multimodal learning with missing modalities and data scarcity
Zhuo Zhi, Ziquan Liu, Moe Elbadawi et al. Neurocomputing, 2025. Cites: paper

Vision‐Language Models for Automated Chest X‐ray Interpretation: Leveraging ViT and GPT‐2
Md. Rakibul Islam, Md. Zahid Hossain, Mustofa Ahmed et al. Engineering Reports, 2025. Cites: paper

Mitigating medical dataset bias by learning adaptive agreement from a biased council
Luyang Luo, Xin Huang, Minghao Wang et al. Medical Image Analysis, 2025. Cites: paper

Pre-training on high-resolution X-ray images: an experimental study
Xiao Wang, Yuehang Li, Wentao Wu et al. Visual Intelligence, 2025. Cites: paper

COMPUTER-AIDED DIAGNOSIS AND DETECTION IN CHEST RADIOGRAPHY
Petra Karačić. Zdravstveni glasnik, 2025. Cites: paper

Quantifying Truthfulness: A Probabilistic Framework for Atomic Claim-Based Misinformation Detection
Fahim K Sufi, Musleh Alsulami. Mathematics, 2025. Cites: paper

A Review of Non-Fully Supervised Deep Learning for Medical Image Segmentation
Xinyue Zhang, Jianfeng Wang, Jinqiao Wei et al. Information, 2025. Cites: paper

Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images
David Wong, Bin Wang, Görkem Durak et al. ACM Symposium on Eye Tracking Research and Applications (ETRA), 2025. Cites: paper

Medical report generation based on optimized validation information guidance
Gaokai Liu, Jun Zhang. IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2025. Cites: paper

Multi-view contrastive learning and symptom extraction insights for medical report generation
Qi Bai, Xiaodi Zou, Ahmad Alhaskawi et al. Scientific Reports, 2025. Cites: paper

Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applications
Yiyao Sun, Xinran Wen, Yan Zhang et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

Designing a computer-assisted diagnosis system for cardiomegaly detection and radiology report generation
Tianhao Zhu, Kexin Xu, Wonchan Son et al. PLOS Digital Health, 2025. Cites: paper

The DRAGON benchmark for clinical NLP
Joeran S. Bosma, Koen Dercksen, Luc Builtjes et al. npj Digital Medicine, 2025. Cites: paper

Radiology-GPT: A large language model for radiology
Zhengliang Liu, Yiwei Li, Peng Shu et al. Meta-Radiology, 2025. Cites: paper

Large Language Models in radiology: A technical and clinical perspective
Jyun-Ping Kao, Huan-Tang Kao. European Journal of Radiology Artificial Intelligence, 2025. Cites: paper

A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation
Elham Asgari, Nina Montaña-Brown, Magda Dubois et al. npj Digital Medicine, 2025. Cites: paper

A survey of deep-learning-based radiology report generation using multimodal inputs
Xinyi Wang, Grazziela Patrocinio Figueredo, Ruizhe Li et al. Medical Image Analysis, 2025. Cites: paper

XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information
Punam Bedi, Anjali Thukral, Shivani Dhiman. Knowledge and Information Systems, 2025. Cites: paper

Benchmarking Radiology Report Generation From Noisy Free-Texts
Yujian Yuan, Yanting Zheng, Liangqiong Qu. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Causal insights from clinical information in radiology: Enhancing future multimodal AI development
Michael Jantscher, Felix Gunzer, Gernot Reishofer et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

MDFormer: Transformer-Based Multimodal Fusion for Robust Chest Disease Diagnosis
Xinlong Liu, Fei Pan, Hainan Song et al. Electronics, 2025. Cites: paper

Leveraging Prompt Engineering with Lightweight Large Language Models to Label and Extract Clinical Information from Radiology Reports
Chayan Mondal, Duc-Son Pham, Ashu Gupta et al. International World Wide Web Conference (WWW), 2025. Cites: paper

Privacy-Preserving Information Extraction Framework for Diverse Imaging Reports using Large Language Models
Dabin Min, So Yeon Kim, Sangheum Hwang et al. Research Square, 2025. Cites: paper

A Swin Transformer based on multi-directional-shift window attention and inductive bias for diagnosis of pleural effusion
Zekun Tian, Dunlu Peng, Debby D. Wang et al. Applied Soft Computing, 2025. Cites: paper

Medvlmoe: sparse mixture of experts vision language model for multi-pathology medical image diagnosis
Dr. Inam Ullah Khan. Journal of Artificial Intelligence Machine Learning and Neural Network, 2025. Cites: paper

A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration
Alex Vernon Moehring, Manasi Kutwal, Ray Huang et al. Scientific Data, 2025. Cites: paper

Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology
Paul Hyunsoo Yi, Preetham Bachina, Beepul Bharti et al. Radiology, 2025. Cites: paper

Using a Large Language Model–Generated Prompt to Extract Features from Synthetic MRI Brain Scan Reports: A Cross-Sectional Study
John J Hanna, Christopher S. Evans, Christopher R. Dennis et al. Methods of Information in Medicine, 2025. Cites: paper

Advancements in Medical Radiology Through Multimodal Machine Learning: A Comprehensive Overview
Imran Ul Haq, Mustafa Mhamed, Mohammed Alharbi et al. Bioengineering, 2025. Cites: paper

Medical imaging privacy: A systematic scoping review of key parameters in dataset construction and data protection
Beryl Rachel J, Anubhuti Sood, Tanurag Pattnaik et al. Journal of medical imaging and radiation sciences, 2025. Cites: paper

Anatomy-guided slice-description interaction for multimodal brain disease diagnosis based on 3D image and radiological report
Xin Gao, Meihui Zhang, Junjie Li et al. Computerized Medical Imaging and Graphics, 2025. Cites: paper

Evaluating and mitigating bias in AI-based medical text generation
Xiuying Chen, Tairan Wang, Juexiao Zhou et al. Nature Computational Science, 2025. Cites: paper

Medical Visual Question Answering: A Review
Guan Yang, Kun Liang, Xiaoming Liu et al. Recent Advances in Computer Science and Communications, 2025. Cites: paper

Diagnostic Captioning by Cooperative Task Interactions and Sample-Graph Consistency
Zhanyu Wang, Lei Wang, Xiu Li et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper

Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training
Akash Awasthi, Anh Mai Vu, Ngan Le et al. Scientific Reports, 2025. Cites: paper

Multi-label pathology editing of chest X-rays with a Controlled Diffusion Model
Huan Chu, Xiaolong Qi, Huiling Wang et al. Medical Image Analysis, 2025. Cites: dataset

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