mlsanityData to 7 Oct 2026

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

arXiv 2006.01174 ↗First posted 1 Jun 2020eess.IV cs.CV cs.LGcited by 81

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Abstract (arXiv)

This paper describes BIMCV COVID-19+, a large dataset from the Valencian Region Medical ImageBank (BIMCV) containing chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19+ patients along with their radiological findings and locations, pathologies, radiological reports (in Spanish), DICOM metadata, Polymerase chain reaction (PCR), Immunoglobulin G (IgG) and Immunoglobulin M (IgM) diagnostic antibody tests. The findings have been mapped onto standard Unified Medical Language System (UMLS) terminology and cover a wide spectrum of thoracic entities, unlike the considerably more reduced number of entities annotated in previous datasets. Images are stored in high resolution and entities are localized with anatomical labels and stored in a Medical Imaging Data Structure (MIDS) format. In addition, 10 images were annotated by a team of radiologists to include semantic segmentation of radiological findings. This first iteration of the database includes 1,380 CX, 885 DX and 163 CT studies from 1,311 COVID-19+ patients. This is, to the best of our knowledge, the largest COVID-19+ dataset of images available in an open format. The dataset can be downloaded from http://bimcv.cipf.es/bimcv-projects/bimcv-covid19.

Key facts. Cited by 81 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jun 2020.

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Citing papers per year: 2021: 16; 2022: 23; 2023: 9; 2024: 17; 2025: 6; 2026: 10.

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  1. 2024GREEN: Generative Radiology Report Evaluation and Error Notationcited by 124
  2. 2024CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formatscited by 100
  3. 2021Deep Learning for Chest X-ray Analysis: A Surveycited by 84
  4. 2022Full-Spectrum Out-of-Distribution Detectioncited by 63
  5. 2022Concept-level Debugging of Part-Prototype Networkscited by 52
  6. 2022OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Imagescited by 47
  7. 2022Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imagingcited by 39
  8. 2023RadEdit: stress-testing biomedical vision models via diffusion image editingcited by 28
  9. 2024BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrievalcited by 28
  10. 2022Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimizationcited by 25
  11. 2021COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Imagescited by 22
  12. 2022Vision Transformers in Medical Computer Vision -- A Contemplative Retrospectioncited by 22
38 more
  1. 2021Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantificationcited by 21
  2. 2025Comprehensive language-image pre-training for 3D medical image understandingcited by 20
  3. 2024Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!"cited by 19
  4. 2021Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Trainingcited by 17
  5. 2022AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillationcited by 17
  6. 2024A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industrycited by 17
  7. 2024MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generationcited by 17
  8. 2024AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Modelscited by 16
  9. 2022A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicroncited by 13
  10. 2021Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpuscited by 12
  11. 2024A foundation model for generalizable disease diagnosis in chest X-ray imagescited by 12
  12. 2022Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutationcited by 10
  13. 2022COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnosticscited by 10
  14. 2024e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generationcited by 10
  15. 2022Recent Progress in Transformer-based Medical Image Analysiscited by 9
  16. 2022Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representationscited by 8
  17. 2022Vision Transformers in Medical Imaging: A Reviewcited by 8
  18. 2022SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Modelcited by 6
  19. 2023COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnosticscited by 6
  20. 2024Clinical Insights: A Comprehensive Review of Language Models in Medicinecited by 6
  21. 2021Reliable COVID-19 Detection Using Chest X-ray Imagescited by 5
  22. 2023Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmarkcited by 5
  23. 2023Unified Medical Image Pre-training in Language-Guided Common Semantic Spacecited by 5
  24. 2025Chest X-ray Foundation Model with Global and Local Representations Integrationcited by 5
  25. 2021Spectral decoupling allows training transferable neural networks in medical imagingcited by 4
  26. 2023The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Datacited by 4
  27. 2024Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generationcited by 4
  28. 2026A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretationcited by 4
  29. 2021Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Networkcited by 3
  30. 2021Deep survival analysis with longitudinal X-rays for COVID-19cited by 3
  31. 2022Self-Supervision and Multi-Task Learning: Challenges in Fine-Grained COVID-19 Multi-Class Classification from Chest X-rayscited by 3
  32. 2024Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Studycited by 3
  33. 2021Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformercited by 2
  34. 2021CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillationcited by 2
  35. 2021Rethinking Transfer Learning for Medical Image Classificationcited by 2
  36. 2021A bone suppression model ensemble to improve COVID-19 detection in chest X-rayscited by 2
  37. 2022Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosiscited by 2
  38. 2022R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classificationcited by 2

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