mlsanityData to 7 Oct 2026

COVID-19 Image Data Collection

arXiv 2003.11597 ↗First posted 25 Mar 2020eess.IV cs.CV cs.LGcited by 100

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Abstract (arXiv)

This paper describes the initial COVID-19 open image data collection. It was created by assembling medical images from websites and publications and currently contains 123 frontal view X-rays.

Key facts. Cited by 100 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 37; 2022: 21; 2023: 13; 2024: 17; 2025: 7; 2026: 5.

100 papers.

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  1. 2023SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million maskscited by 54
  2. 2022Concept-level Debugging of Part-Prototype Networkscited by 52
  3. 2021FLOP: Federated Learning on Medical Datasets using Partial Networkscited by 42
  4. 2022Transformers in Medical Image Analysis: A Reviewcited by 41
  5. 2023Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Modelscited by 40
  6. 2024The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learningcited by 39
  7. 2025QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Trainingcited by 38
  8. 2022Explainable Deep Learning Methods in Medical Image Classification: A Surveycited by 31
  9. 2023Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Networkcited by 28
  10. 2022Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimizationcited by 25
  11. 2021Automated Generation of Accurate & Fluent Medical X-ray Reportscited by 24
  12. 2021FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumoniacited by 22
38 more
  1. 2021COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Imagescited by 22
  2. 2021Improving Pneumonia Localization via Cross-Attention on Medical Images and Reportscited by 21
  3. 2024Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlookscited by 18
  4. 2024A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industrycited by 17
  5. 2024MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generationcited by 17
  6. 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysiscited by 14
  7. 2021Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scanscited by 13
  8. 2022A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicroncited by 13
  9. 2022Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16cited by 13
  10. 2025CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Modelscited by 13
  11. 2024A foundation model for generalizable disease diagnosis in chest X-ray imagescited by 12
  12. 2022COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnosticscited by 10
  13. 2024A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directionscited by 10
  14. 2022Recent Progress in Transformer-based Medical Image Analysiscited by 9
  15. 2021COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approachcited by 8
  16. 2021Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostcited by 8
  17. 2021Inverse Problems Leveraging Pre-trained Contrastive Representationscited by 7
  18. 2022On Calibrated Model Uncertainty in Deep Learningcited by 7
  19. 2025RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samplescited by 7
  20. 2021COVID-19 detection using chest X-rays: is lung segmentation important for generalization?cited by 6
  21. 2021COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Imagescited by 6
  22. 2022Monkeypox Image Data collectioncited by 6
  23. 2023DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelscited by 6
  24. 2021Reliable COVID-19 Detection Using Chest X-ray Imagescited by 5
  25. 2023Shortcut Detection with Variational Autoencoderscited by 5
  26. 2023Understanding Calibration of Deep Neural Networks for Medical Image Classificationcited by 5
  27. 2024Reprogramming Distillation for Medical Foundation Modelscited by 5
  28. 2024Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approachcited by 5
  29. 2025Delving into Out-of-Distribution Detection with Medical Vision-Language Modelscited by 5
  30. 2021Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learningcited by 4
  31. 2022Translational Lung Imaging Analysis Through Disentangled Representationscited by 4
  32. 2022Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Predictioncited by 4
  33. 2025Killing it with Zero-Shot: Adversarially Robust Novelty Detectioncited by 4
  34. 2021Signal Propagation in a Gradient-Based and Evolutionary Learning Systemcited by 3
  35. 2022PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysiscited by 3
  36. 2023A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labelscited by 3
  37. 2024Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Studycited by 3
  38. 2024Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysiscited by 3

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