mlsanityData to 7 Oct 2026

MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset

arXiv 2005.06465 ↗First posted 13 May 2020cs.CY cs.LG eess.IVcited by 103

Not on the map. Why?

Abstract (arXiv)

This dataset contains anonymised human lung computed tomography (CT) scans with COVID-19 related findings, as well as without such findings. A small subset of studies has been annotated with binary pixel masks depicting regions of interests (ground-glass opacifications and consolidations). CT scans were obtained between 1st of March, 2020 and 25th of April, 2020, and provided by municipal hospitals in Moscow, Russia. Permanent link: https://mosmed.ai/datasets/covid19_1110. This dataset is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License. Key words: artificial intelligence, COVID-19, machine learning, dataset, CT, chest, imaging

Key facts. Cited by 103 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 May 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 25; 2022: 17; 2023: 14; 2024: 18; 2025: 10; 2026: 19.

103 papers.

Sort:

By area:

  1. 2022LViT: Language meets Vision Transformer in Medical Image Segmentationcited by 110
  2. 20243D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-quality Medical Image Generationcited by 37
  3. 2021COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learningcited by 29
  4. 2024Foundation Models for Biomedical Image Segmentation: A Surveycited by 28
  5. 2024Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentationcited by 27
  6. 2023Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysiscited by 25
  7. 2021Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentationcited by 19
  8. 2023Large-scale Long-tailed Disease Diagnosis on Radiology Imagescited by 17
  9. 2021Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scanscited by 13
  10. 2022A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicroncited by 13
  11. 2021Detection and severity classification of COVID-19 in CT images using deep learningcited by 12
  12. 2024Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregationcited by 12
38 more
  1. 2021Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Datacited by 10
  2. 2022Recent Progress in Transformer-based Medical Image Analysiscited by 9
  3. 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imagingcited by 9
  4. 2024RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-trainingcited by 8
  5. 2024MultiMed: Massively Multimodal and Multitask Medical Understandingcited by 8
  6. 2023Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignmentcited by 7
  7. 2024Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignmentscited by 6
  8. 2025STPNet: Scale-aware Text Prompt Network for Medical Image Segmentationcited by 6
  9. 2025Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximationcited by 6
  10. 2021Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classificationcited by 5
  11. 2021Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizabilitycited by 5
  12. 2022CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentationcited by 5
  13. 2024SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Promptscited by 5
  14. 2024Learning Lossless Compression for High Bit-Depth Volumetric Medical Imagecited by 5
  15. 2026MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Datacited by 5
  16. 2021CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scanscited by 4
  17. 2021Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosiscited by 4
  18. 2021Domain adaptation based self-correction model for COVID-19 infection segmentation in CT imagescited by 4
  19. 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
  20. 2022Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19cited by 4
  21. 2025TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Explorationcited by 4
  22. 2025Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentationcited by 4
  23. 2021Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Networkcited by 3
  24. 2022Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomographycited by 3
  25. 2022PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysiscited by 3
  26. 2022Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detectioncited by 3
  27. 2023DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problemcited by 3
  28. 2023Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guidecited by 3
  29. 2023A Non-monotonic Smooth Activation Functioncited by 3
  30. 2024Constrained Multiview Representation for Self-supervised Contrastive Learningcited by 3
  31. 2024A Large-scale Medical Visual Task Adaptation Benchmarkcited by 3
  32. 2026Uncertainty-Aware Vision-Language Segmentation for Medical Imagingcited by 3
  33. 2021COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancingcited by 2
  34. 2021COVID-view: Diagnosis of COVID-19 using Chest CTcited by 2
  35. 2021Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentationcited by 2
  36. 2021Deep Learning Based Automated COVID-19 Classification from Computed Tomography Imagescited by 2
  37. 2022Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentationcited by 2
  38. 2023MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomographycited by 2

50 most cited of 103 All 103 (JSON)