mlsanityData to 7 Oct 2026

COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

arXiv 2103.10003 ↗First posted 18 Mar 2021eess.IV cs.CV cs.LGcited by 17

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Abstract (arXiv)

The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. Apart from the global health crises, the pandemic has also caused significant economic and financial difficulties and socio-physiological implications. Effective screening, triage, treatment planning, and prognostication of outcome plays a key role in controlling the pandemic. Recent studies have highlighted the role of point-of-care ultrasound imaging for COVID-19 screening and prognosis, particularly given that it is non-invasive, globally available, and easy-to-sanitize. Motivated by these attributes and the promise of artificial intelligence tools to aid clinicians, we introduce COVIDx-US, an open-access benchmark dataset of COVID-19 related ultrasound imaging data. The COVIDx-US dataset was curated from multiple sources and its current version, i.e., v1.2., consists of 150 lung ultrasound videos and 12,943 processed images of patients infected with COVID-19 infection, non-COVID-19 infection, other lung diseases/conditions, as well as normal control cases. The COVIDx-US is the largest open-access fully-curated dataset of its kind that has been systematically curated, processed, and validated specifically for the purpose of building and evaluating artificial intelligence algorithms and models.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 6 of its 54 references that are in the map. First posted on arXiv 18 Mar 2021.

Builds on

6 of 54 references.

References · 6

  1. 2020COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Imagescited by 264
  2. 2017Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learningcited by 63
  3. 2020COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Imagescited by 39
  4. 2020POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)cited by 25
  5. 2020COVID-Net S: Towards computer-aided severity assessment via training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severitycited by 14
  6. 2020Understanding the temporal evolution of COVID-19 research through machine learning and natural language processingcited by 6

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Cited by year

Citing papers per year: 2021: 4; 2022: 2; 2023: 4; 2024: 1; 2025: 6.

17 papers.

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  1. 2025QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Trainingcited by 38
  2. 2021COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Imagescited by 22
  3. 2023Holistic Evaluation of GPT-4V for Biomedical Imagingcited by 19
  4. 2025CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Modelscited by 13
  5. 2021TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Imagescited by 8
  6. 2023FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Featurescited by 8
  7. 2021COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Imagescited by 6
  8. 2025CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learningcited by 6
  9. 2023COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Imagescited by 4
  10. 2021COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imagingcited by 3
  11. 2023Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Taskscited by 2
  12. 2022COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learningcited by 1
5 more
  1. 2022COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videoscited by 1
  2. 2025Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractorcited by 1
  3. 2024Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studiescited by 0
  4. 2025The Efficacy of Semantics-Preserving Transformations in Self-Supervised Learning for Medical Ultrasoundcited by 0
  5. 2025Assessing Risk of Stealing Proprietary Models for Medical Imaging Taskscited by 0