ArticleScientific data2020
Chest imaging representing a COVID-19 positive rural U.S. population.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem.Medical image analysis · 2021Pooled it
- A multimodal vision-language model for generalizable annotation-free pathology localization.Nature biomedical engineering · 2026Article
- Mitigating Spurious Invariance in Contrastive Learning: A Probabilistic Self-Supervised Learning Framework for Medical Image Analysis.IEEE transactions on medical imaging · 2026Article
- Subject-specific modeling framework for particle deposition using computational fluid dynamics.Journal of aerosol science · 2025Article
- Comprehensive evaluation of optimization algorithms for medical image segmentation.Scientific reports · 2025Article
- Automated multi-lesion annotation in chest X-rays: annotating over 450,000 images from public datasets using the AI-based Smart Imagery Framing and Truthing (SIFT) system.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- LinkingLearning health systems · 2025Article
- Revolutionizing healthcare: a comparative insight into deep learning's role in medical imaging.Scientific reports · 2024Article
- Computational multiphysics modeling of radioactive aerosol deposition in diverse human respiratory tract geometries.Communications engineering · 2024Article
- A robust index for metal artifact quantification in computed tomography.Journal of applied clinical medical physics · 2024Article
- Biases associated with database structure for COVID-19 detection in X-ray images.Scientific reports · 2023Article
- COVID-19 preparedness and response in rural and remote areas: A scoping review.PLOS global public health · 2023Article
- Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation.Neural computing & applications · 2023Article
- Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia.Scientific data · 2022Article
- Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.Medical image analysis · 2022Article
- Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights.Sensors (Basel, Switzerland) · 2022Review
- Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks.Computers in biology and medicine · 2022Review
- A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks.Multimedia systems · 2022Article
- Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays.Pattern recognition · 2022Article
- Medical decision support system using weakly-labeled lung CT scans.Frontiers in medical technology · 2022Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in determining therapeutic options, patient management, and research directions. Publicly available data are essential to drive new research into disease etiology, early detection, and response to therapy. In response to the COVID-19 crisis, the National Cancer Institute (NCI) has extended the Cancer Imaging Archive (TCIA) to include COVID-19 related images. Rural populations are one population at risk for underrepresentation in such public repositories. We have published in TCIA a collection of radiographic and CT imaging studies for patients who tested positive for COVID-19 in the state of Arkansas. A set of clinical data describes each patient including demographics, comorbidities, selected lab data and key radiology findings. These data are cross-linked to SARS-COV-2 cDNA sequence data extracted from clinical isolates from the same population, uploaded to the GenBank repository. We believe this collection will help to address population imbalance in COVID-19 data by providing samples from this normally underrepresented population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.