Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks is a research paper published in Radiology Artificial Intelligence (2020). On theSindex it has a DataRank of 0. It has been cited 157 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institute of Biomedical Imaging and Bioengineering
Grant: 5T32EB1680
National Cancer Institute
Grant: F30CA239407
National Institutes of Health
Grant: U01 CA154601
National Institutes of Health
Grant: U24 CA180927
National Institutes of Health
Grant: U24 CA180918
Center for Functional Neuroimaging Technologies
Grant: P41EB015896
National Institutes of Health
Grant: 5P41EB015896-18
Center for Functional Imaging Technologies
National Institutes of Health
Grant: 1F30CA239407-01
Automatic Volumetric Treatment Response Assessment and Determination of Regional Genetic Characteristics in Glioblastoma
National Institutes of Health
Grant: 5T32EB001680-12
Neuroimaging Training Program
National Institutes of Health
Grant: 1U24CA180927-01A1
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research&Discovery
National Institutes of Health
Grant: 4U01CA154601-06
Quantitative MRI of Glioblastoma Response
National Institutes of Health
Grant: 5U24CA180918-02
Quantitative Image Informatics for Cancer Research (QIICR)
FWCI
14.13
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals