An Optimal, Generative Model for Estimating Multi-Label Probabilistic Maps is a research paper published in IEEE Transactions on Medical Imaging (2020). On theSindex it has a DataRank of 0. 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 β 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 β never from an abstract alone.
National Institutes of Health
Grant: R01-HL135568
National Institutes of Health
Grant: R01-EB016701
National Institutes of Health
Grant: P41-GM103545
NIBIB NIH HHS
Grant: R01 EB016701
NIGMS NIH HHS
Grant: P41 GM103545
NHLBI NIH HHS
Grant: R01 HL135568
National Institutes of Health
Grant: 2R01EB016701-05A1
Computational and Statistical Framework to Model Tissue Shape and Mechanics
National Institutes of Health
Grant: 5P41GM103545-20
Center for Integrative Biomedical Computing
National Institutes of Health
Grant: 5R01HL135568-03
New 3D and 4D Image-Based Clinical Measures of Atrial Structural and Functional Remodeling in Atrial Fibrillation
FWCI
0.19
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords