Testing a convolutional neural network-based hippocampal segmentation method in a stroke population is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 6 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: 7P41EB015922-17
Laboratory of Neuro Imaging Resource (LONIR)
National Institutes of Health
Grant: 1F31AG059356-01
VEGF's Relationship to Brain Aging Biomarkers and Cognition
National Institutes of Health
Grant: 1R01NS115845-01
Effects of global brain health on sensorimotor recovery after stroke
National Institutes of Health
Grant: 3U54EB020403-04S1
ENIGMA Center for Worldwide Medicine, Imaging & Genomics
National Institutes of Health
Grant: 1U01AG068057-01
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
National Institutes of Health
Grant: 5U54EB020403-03
ENIGMA Center for Worldwide Medicine, Imaging & Genomics
National Institutes of Health
Grant: 5R01AG059874-02
High resolution mapping of the genetic risk for disease in the aging brain
National Institutes of Health
Grant: 3K01HD091283-02S1
Big Data Neuroimaging to Predict Motor Behavior After Stroke
Fields of Study
Keywords
Sustainable Development Goals