Accounting for data variability in multi-institutional distributed deep learning for medical imaging is a research paper published in Journal of the American Medical Informatics Association (2020). On theSindex it has a DataRank of 0. It has been cited 63 times.
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National Cancer Institute
Grant: U01CA242879
National Institute of Biomedical Imaging and Bioengineering
Grant: 5T32EB1680
National Cancer Institute
Grant: F30CA239407
National Institutes of Health
Grant: U01CA154601
National Institutes of Health
Grant: U24CA180927
National Institutes of Health
Grant: U24CA180918
National Institute of Biomedical Imaging and Bioengineering
Grant: P41EB015896
NIBIB NIH HHS
Grant: T32 EB001680
National Institutes of Health
Grant: 5U24CA180918-02
Quantitative Image Informatics for Cancer Research (QIICR)
National Institutes of Health
Grant: 1U01CA242879-01
Distributed Learning of Deep Learning Models for Cancer Research
National Institutes of Health
Grant: 4U01CA154601-06
Quantitative MRI of Glioblastoma Response
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: 5P41EB015896-18
Center for Functional Imaging Technologies
National Institutes of Health
Stanford AstraZeneca Collaboration program
FWCI
4.23
Citation Percentile
1.0%
Citation Trend
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Sustainable Development Goals