Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical Data is a research paper published in SN Computer Science (2023). On theSindex it has a DataRank of 0. It has been cited 16 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 Institutes of Health
Grant: UL1TR002537
National Institutes of Health
Grant: R00HL116769
National Institutes of Health
Grant: R21EB026518
National Institutes of Health
Grant: R01HD08994
National Institutes of Health
Grant: P50HD105556
National Institutes of Health
Grant: 5R21EB026518-03
Novel Non-Invasive Coronary Flow Patterning to Predict Early Coronary Microvascular Disease
National Institutes of Health
Grant: 5R00HL116769-04
Differential Macro- and Micro-Vascular Remodeling in Type 2 Diabetes and Metabolic Syndrome
National Institutes of Health
Grant: 1ZIAHD008994-04
Oxidative DNA damage markers and epigenetic aging of placenta
National Institutes of Health
Grant: 5R01HD089940-04
Vasopressin and Preeclampsia: Early Mechanisms for Prevention
National Institutes of Health
Grant: 5UL1TR002537-02
The University of Iowa Clinical and Translational Science Award
NICHD NIH HHS
Grant: R01 HD089940
FWCI
2.03
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals