mlsanityData to 7 Oct 2026

TorchXRayVision: A library of chest X-ray datasets and models

arXiv 2111.00595 ↗First posted 31 Oct 2021eess.IV cs.AI cs.CVcited by 131

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Abstract (arXiv)

TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models. It provides a common interface and common pre-processing chain for a wide set of publicly available chest X-ray datasets. In addition, a number of classification and representation learning models with different architectures, trained on different data combinations, are available through the library to serve as baselines or feature extractors.

Key facts. Cited by 131 papers in the map (data through 7 Oct 2026). Builds on 19 of its 42 references that are in the map. First posted on arXiv 31 Oct 2021.

Builds on

19 of 42 references.

References · 19

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  3. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,841
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  5. 2017ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseasescited by 969
  6. 2019MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographscited by 590
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  8. 2019PadChest: A large chest x-ray image dataset with multi-label annotated reportscited by 308
  9. 2020VinDr-CXR: An open dataset of chest X-rays with radiologist's annotationscited by 236
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7 more
  1. 2020Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learningcited by 21
  2. 2021GAN-based Data Augmentation for Chest X-ray Classificationcited by 18
  3. 2019Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction Systemcited by 12
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  5. 2020Potential Features of ICU Admission in X-ray Images of COVID-19 Patientscited by 2
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  7. 2020MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Featurescited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 18; 2023: 14; 2024: 28; 2025: 34; 2026: 35.

131 papers.

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  1. 2022RoentGen: Vision-Language Foundation Model for Chest X-ray Generationcited by 89
  2. 2022Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domainscited by 85
  3. 2022Deep Model Reassemblycited by 78
  4. 2022Integrated multimodal artificial intelligence framework for healthcare applicationscited by 69
  5. 2021Knowledge Matters: Radiology Report Generation with General and Specific Knowledgecited by 68
  6. 2025MedRAX: Medical Reasoning Agent for Chest X-raycited by 68
  7. 2024FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusioncited by 67
  8. 2023KiUT: Knowledge-injected U-Transformer for Radiology Report Generationcited by 60
  9. 2023LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generationcited by 57
  10. 2023Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunitycited by 54
  11. 2024VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledgecited by 50
  12. 2025Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AIcited by 31
38 more
  1. 2022Explaining Chest X-ray Pathologies in Natural Languagecited by 27
  2. 2022Medical Image Captioning via Generative Pretrained Transformerscited by 20
  3. 2022CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rayscited by 19
  4. 2023Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Modelscited by 18
  5. 2023Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Researchcited by 18
  6. 2022Multimodal Explainability via Latent Shift applied to COVID-19 stratificationcited by 16
  7. 2024Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generationcited by 16
  8. 2022Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classificationcited by 14
  9. 2023Vision-Language Generative Model for View-Specific Chest X-ray Generationcited by 14
  10. 2023Stability Guarantees for Feature Attributions with Multiplicative Smoothingcited by 14
  11. 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysiscited by 14
  12. 2022DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosiscited by 13
  13. 2024CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reportingcited by 11
  14. 2024FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Modelscited by 11
  15. 2024Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learningcited by 10
  16. 2022BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classificationcited by 9
  17. 2022Unsupervised pre-training of graph transformers on patient population graphscited by 9
  18. 2024Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Datacited by 9
  19. 2022Suppressing Poisoning Attacks on Federated Learning for Medical Imagingcited by 8
  20. 2023Trade-offs in Fine-tuned Diffusion Models Between Accuracy and Interpretabilitycited by 8
  21. 2024XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Modelcited by 8
  22. 2025RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflowscited by 8
  23. 2024D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictionscited by 7
  24. 2025Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Datacited by 7
  25. 2025CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretationcited by 7
  26. 2023K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imagingcited by 6
  27. 2024Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-trainingcited by 6
  28. 2024Active Preference Learning for Ordering Items In- and Out-of-samplecited by 6
  29. 2024BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rayscited by 6
  30. 2024Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Datacited by 5
  31. 2024The FIX Benchmark: Extracting Features Interpretable to eXpertscited by 5
  32. 2025XGeM: A Multi-Prompt Foundation Model for Multimodal Medical Data Generationcited by 5
  33. 2025Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation Alignmentcited by 5
  34. 2025CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographscited by 5
  35. 2024Free Form Medical Visual Question Answering in Radiologycited by 4
  36. 2024RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Modelscited by 4
  37. 2025CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decodingcited by 4
  38. 2025To Ask or Not to Ask: Learning to Require Human Feedbackcited by 4

50 most cited of 131 All 131 (JSON)