Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images is a research paper published in arXiv (Cornell University) (2024). On theSindex it has a DataRank of 0.
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: 3R01AR076120-02S1
ShapeWorks in the Cloud
National Institutes of Health
Grant: 5R01HL135568-03
New 3D and 4D Image-Based Clinical Measures of Atrial Structural and Functional Remodeling in Atrial Fibrillation
National Institutes of Health
Grant: 5U24EB029011-05
ShapeWorksStudio: An Integrative, User-Friendly, and Scalable Suite for Shape Representation and Analysis
Fields of Study
Keywords