Detailed delineation of the fetal brain in diffusion MRI via multi-task learning is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.241. It has been cited 4 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.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5R01HD110772-02
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structure
National Institutes of Health
Grant: 5R01NS128281-03
Enabling the Assessment of Fetal Brain Development and Degeneration with Machine Learning
National Institutes of Health
Grant: 5R01NS124212-03
Motion Compensated fMRI for Pre-Surgical Planning in Epilepsy
National Institutes of Health
Grant: 1R01EB019483-01A1
Improved Motion Robust MRI of Children
National Institutes of Health
Grant: 5R01LM013608-04
Machine learning algorithms to analyze large medical image datasets
NICHD NIH HHS
Grant: R01 HD110772
NICHD NIH HHS
Grant: P50 HD105351
NINDS NIH HHS
Grant: R01 NS128281
NIBIB NIH HHS
Grant: R01 EB019483
NLM NIH HHS
Grant: R01 LM013608
NINDS NIH HHS
Grant: R01 NS124212
Fields of Study
Keywords
Sustainable Development Goals