A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging is a research paper published in Medical Image Analysis (2021). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
Scored on demand from live citation data
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Base Score Contribution
0.165
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.
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Grant: S10 OD025111
National Institutes of Health
Grant: R01EB018988
National Institutes of Health
Grant: R01NS079788
National Institutes of Health
Grant: R01NS106030
National Institutes of Health
Grant: 5R01NS106030-03
Advancing microstructural and vascular neuroimaging in perinatal stroke
National Institutes of Health
Grant: 5R01NS079788-03
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and Autism
National Institutes of Health
Grant: 5R01NS106030-04
Advancing microstructural and vascular neuroimaging in perinatal stroke
National Institutes of Health
Grant: 1S10OD025111-01
Acquisition of a Siemens 3T MRI for Research Imaging
National Institutes of Health
Grant: 5R01EB018988-04
Motion-robust super-resolution diffusion weighted MRI of early brain development
National Institute of Neurological Disorders and Stroke
National Institute of Biomedical Imaging and Bioengineering
McKnight Foundation
FWCI
0.25
Citation Percentile
0.5%
Citation Trend
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