mlsanityData to 7 Oct 2026

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

arXiv 1901.07042 ↗First posted 21 Jan 2019cs.CV cs.LG eess.IVcited by 590

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Cited by 103 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient's thorax, but requiring specialized training for proper interpretation. With the advent of high performance general purpose computer vision algorithms, the accurate automated analysis of chest radiographs is becoming increasingly of interest to researchers. However, a key challenge in the development of these techniques is the lack of sufficient data. Here we describe MIMIC-CXR-JPG v2.0.0, a large dataset of 377,110 chest x-rays associated with 227,827 imaging studies sourced from the Beth Israel Deaconess Medical Center between 2011 - 2016. Images are provided with 14 labels derived from two natural language processing tools applied to the corresponding free-text radiology reports. MIMIC-CXR-JPG is derived entirely from the MIMIC-CXR database, and aims to provide a convenient processed version of MIMIC-CXR, as well as to provide a standard reference for data splits and image labels. All images have been de-identified to protect patient privacy. The dataset is made freely available to facilitate and encourage a wide range of research in medical computer vision.

Key facts. Cited by 590 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jan 2019.

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Citing papers per year: 2021: 58; 2022: 60; 2023: 116; 2024: 139; 2025: 129; 2026: 88.

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  1. 2022Transformers in Medical Imaging: A Surveycited by 245
  2. 2024Capabilities of Gemini Models in Medicinecited by 231
  3. 2023Quilt-1M: One Million Image-Text Pairs for Histopathologycited by 192
  4. 2022Cross-modal Memory Networks for Radiology Report Generationcited by 183
  5. 2023Conformal Language Modelingcited by 163
  6. 2021Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generationcited by 160
  7. 2024MAIRA-2: Grounded Radiology Report Generationcited by 140
  8. 2023Interactive and Explainable Region-guided Radiology Report Generationcited by 139
  9. 2021TorchXRayVision: A library of chest X-ray datasets and modelscited by 131
  10. 2024Vision-Language Models for Medical Report Generation and Visual Question Answering: A Reviewcited by 121
  11. 2023Change is Hard: A Closer Look at Subpopulation Shiftcited by 119
  12. 2023Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Healthcited by 118
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  1. 2023Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generationcited by 114
  2. 2025HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptationcited by 112
  3. 2023R2GenGPT: Radiology Report Generation with Frozen LLMscited by 111
  4. 2024MMedAgent: Learning to Use Medical Tools with Multi-modal Agentcited by 108
  5. 2023METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokenscited by 98
  6. 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AIcited by 96
  7. 2021Medical Visual Question Answering: A Surveycited by 93
  8. 2022Improving Chest X-Ray Report Generation by Leveraging Warm Startingcited by 93
  9. 2023PromptMRG: Diagnosis-Driven Prompts for Medical Report Generationcited by 92
  10. 2021MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluationcited by 88
  11. 2021Pre-trained Language Models in Biomedical Domain: A Systematic Surveycited by 87
  12. 2024MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Modelscited by 84
  13. 2021Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reportscited by 80
  14. 2024MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicinecited by 79
  15. 2023Advancing Radiograph Representation Learning with Masked Record Modelingcited by 75
  16. 2022Competence-based Multimodal Curriculum Learning for Medical Report Generationcited by 74
  17. 2024A Survey of Multimodal Large Language Model from A Data-centric Perspectivecited by 73
  18. 2023MAIRA-1: A specialised large multimodal model for radiology report generationcited by 72
  19. 2021Contrastive Attention for Automatic Chest X-ray Report Generationcited by 71
  20. 2022Integrated multimodal artificial intelligence framework for healthcare applicationscited by 69
  21. 2024FairCLIP: Harnessing Fairness in Vision-Language Learningcited by 69
  22. 2021Knowledge Matters: Radiology Report Generation with General and Specific Knowledgecited by 68
  23. 2021Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Futurecited by 67
  24. 2022MEDFAIR: Benchmarking Fairness for Medical Imagingcited by 66
  25. 2022AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generationcited by 65
  26. 2024CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Modelscited by 64
  27. 2023KiUT: Knowledge-injected U-Transformer for Radiology Report Generationcited by 60
  28. 2022Cross-modal Prototype Driven Network for Radiology Report Generationcited by 58
  29. 2024RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Modelscited by 58
  30. 2023LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generationcited by 57
  31. 2023Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Biascited by 57
  32. 2023PRIOR: Prototype Representation Joint Learning from Medical Images and Reportscited by 55
  33. 2023Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunitycited by 54
  34. 2022MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray imagescited by 53
  35. 2022Improving the Fairness of Chest X-ray Classifierscited by 52
  36. 2024Toward Visual Grounding: A Surveycited by 52
  37. 2022Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledgecited by 51
  38. 2024VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledgecited by 50

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