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MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis

arXiv 2106.07524 ↗First posted 14 Jun 2021eess.IV cs.CV cs.LGcited by 72

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Abstract (arXiv)

Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical specialists in vital circumstances. Deep learning methodologies constitute a main approach for chest CT scan analysis and disease prediction. However, large annotated databases are necessary for developing deep learning models that are able to provide COVID-19 diagnosis across various medical environments in different countries. Due to privacy issues, publicly available COVID-19 CT datasets are highly difficult to obtain, which hinders the research and development of AI-enabled diagnosis methods of COVID-19 based on CT scans. In this paper we present the COV19-CT-DB database which is annotated for COVID-19, consisting of about 5,000 3-D CT scans, We have split the database in training, validation and test datasets. The former two datasets can be used for training and validation of machine learning models, while the latter will be used for evaluation of the developed models. We also present a deep learning approach, based on a CNN-RNN network and report its performance on the COVID19-CT-DB database.

Key facts. Cited by 72 papers in the map (data through 7 Oct 2026). Builds on 4 of its 20 references that are in the map. First posted on arXiv 14 Jun 2021.

Builds on

4 of 20 references.

References · 4

  1. 2020Deep Transparent Prediction through Latent Representation Analysiscited by 72
  2. 2018Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigmcited by 20
  3. 2019Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networkscited by 4
  4. 2019A Unified Deep Learning Approach for Prediction of Parkinson's Diseasecited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 21; 2023: 14; 2024: 15; 2025: 5; 2026: 7.

72 papers.

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  1. 2022Transformers in Medical Imaging: A Surveycited by 245
  2. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
  3. 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
  4. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
  5. 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
  6. 2023Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Reviewcited by 62
  7. 2024Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyondcited by 60
  8. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  9. 2022MixAugment & Mixup: Augmentation Methods for Facial Expression Recognitioncited by 31
  10. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
  11. 2021COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer modelscited by 27
  12. 2024COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI Systemcited by 23
38 more
  1. 2022Vision Transformers in Medical Computer Vision -- A Contemplative Retrospectioncited by 22
  2. 2022AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imagingcited by 20
  3. 2023BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classificationcited by 20
  4. 2023Large-scale Long-tailed Disease Diagnosis on Radiology Imagescited by 17
  5. 2024SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detectioncited by 14
  6. 2024Robust COVID-19 Detection in CT Images with CLIPcited by 12
  7. 2021Visual Transformer with Statistical Test for COVID-19 Classificationcited by 8
  8. 2022Vision Transformers in Medical Imaging: A Reviewcited by 8
  9. 2024Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility studycited by 8
  10. 2022Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scanscited by 7
  11. 2022CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priorscited by 7
  12. 2022Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classificationcited by 7
  13. 2021A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Imagescited by 6
  14. 2022COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainingscited by 6
  15. 2024Advancing COVID-19 Detection in 3D CT Scanscited by 5
  16. 2025Multi-Source COVID-19 Detection via Variance Risk Extrapolationcited by 5
  17. 2021Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Datasetcited by 4
  18. 2022FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysiscited by 4
  19. 2022Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNetscited by 4
  20. 2023Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scanscited by 4
  21. 2023Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Carecited by 4
  22. 2025Advancing Lung Disease Diagnosis in 3D CT Scanscited by 4
  23. 2021COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DBcited by 3
  24. 2024Domain Adaptation Using Pseudo Labels for COVID-19 Detectioncited by 3
  25. 2024A Closer Look at Spatial-Slice Features Learning for COVID-19 Detectioncited by 3
  26. 2021A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Imagescited by 2
  27. 2021TeliNet: Classifying CT scan images for COVID-19 diagnosiscited by 2
  28. 2021Deep Learning Based Automated COVID-19 Classification from Computed Tomography Imagescited by 2
  29. 2022Two-Stage COVID19 Classification Using BERT Featurescited by 2
  30. 2023COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Imagescited by 2
  31. 2024Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detectioncited by 2
  32. 2025Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardizationcited by 2
  33. 2021Custom Deep Neural Network for 3D Covid Chest CT-scan Classificationcited by 1
  34. 20213D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Imagecited by 1
  35. 2022COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Imagescited by 1
  36. 2022Representation Learning with Information Theory for COVID-19 Detectioncited by 1
  37. 2022COVID-19 Detection Using Segmentation, Region Extraction and Classification Pipelinecited by 1
  38. 2023Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentationcited by 1

50 most cited of 72 All 72 (JSON)