mlsanityData to 7 Oct 2026

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

arXiv 2003.13865 ↗First posted 30 Mar 2020cs.LG cs.CV eess.IVcited by 93

Not on the map. Why?

Abstract (arXiv)

During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets are highly difficult to obtain, which hinders the research and development of AI-powered diagnosis methods of COVID-19 based on CTs. To address this issue, we build an open-sourced dataset -- COVID-CT, which contains 349 COVID-19 CT images from 216 patients and 463 non-COVID-19 CTs. The utility of this dataset is confirmed by a senior radiologist who has been diagnosing and treating COVID-19 patients since the outbreak of this pandemic. We also perform experimental studies which further demonstrate that this dataset is useful for developing AI-based diagnosis models of COVID-19. Using this dataset, we develop diagnosis methods based on multi-task learning and self-supervised learning, that achieve an F1 of 0.90, an AUC of 0.98, and an accuracy of 0.89. According to the senior radiologist, models with such performance are good enough for clinical usage. The data and code are available at https://github.com/UCSD-AI4H/COVID-CT

Key facts. Cited by 93 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Mar 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 29; 2022: 21; 2023: 17; 2024: 12; 2025: 9; 2026: 5.

93 papers.

Sort:

By area:

  1. 2022Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challengescited by 137
  2. 2022Full-Spectrum Out-of-Distribution Detectioncited by 63
  3. 2021Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edgecited by 56
  4. 2023Deep Learning Approaches for Data Augmentation in Medical Imaging: A Reviewcited by 48
  5. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  6. 2023ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMscited by 35
  7. 2021A Systematic Collection of Medical Image Datasets for Deep Learningcited by 29
  8. 2021COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer modelscited by 27
  9. 2022Vision Transformers in Medical Computer Vision -- A Contemplative Retrospectioncited by 22
  10. 2023Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imagingcited by 16
  11. 2022Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Miningcited by 14
  12. 2023A Systematic Review of Deep Learning-based Research on Radiology Report Generationcited by 14
38 more
  1. 2021Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scanscited by 13
  2. 2021Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Datacited by 13
  3. 2022A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicroncited by 13
  4. 2022Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysiscited by 13
  5. 2021Extracting Causal Visual Features for Limited label Classificationcited by 12
  6. 2023Image Quality-aware Diagnosis via Meta-knowledge Co-embeddingcited by 12
  7. 2022Explanatory Paradigms in Neural Networkscited by 11
  8. 2024Analyzing Tumors by Synthesiscited by 11
  9. 2021Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Datacited by 10
  10. 2022Recent Progress in Transformer-based Medical Image Analysiscited by 9
  11. 2021COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approachcited by 8
  12. 2021Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learningcited by 8
  13. 2021CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysiscited by 8
  14. 2021Visual Transformer with Statistical Test for COVID-19 Classificationcited by 8
  15. 2022Vision Transformers in Medical Imaging: A Reviewcited by 8
  16. 2021A Unified Framework for Task-Driven Data Quality Managementcited by 7
  17. 2021The Prominence of Artificial Intelligence in COVID-19cited by 7
  18. 2021Studying the Effects of Self-Attention for Medical Image Analysiscited by 6
  19. 2021Covid-19 classification with deep neural network and belief functionscited by 5
  20. 2021DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rayscited by 5
  21. 2024Low-Rank Knowledge Decomposition for Medical Foundation Modelscited by 5
  22. 2024Reprogramming Distillation for Medical Foundation Modelscited by 5
  23. 2025False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claimscited by 5
  24. 2021Boosting Deep Transfer Learning for COVID-19 Classificationcited by 4
  25. 2022Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Datasetcited by 4
  26. 2023Trustworthy Federated Learning: A Surveycited by 4
  27. 2024LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Modelscited by 4
  28. 2022Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Imagescited by 3
  29. 2022PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysiscited by 3
  30. 2024Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosiscited by 3
  31. 2025Stable Vision Concept Transformers for Medical Diagnosiscited by 3
  32. 2021Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Featurescited by 2
  33. 2021COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancingcited by 2
  34. 2021Generation of COVID-19 Chest CT Scan Images using Generative Adversarial Networkscited by 2
  35. 2021CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Imagescited by 2
  36. 2022Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classificationcited by 2
  37. 2023A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Imagescited by 2
  38. 2024HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesiscited by 2

50 most cited of 93 All 93 (JSON)