PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation is a research paper published in Algorithms (2020). On theSindex it has a DataRank of 0. It has been cited 5 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: P41GM103712
National Science Foundation
Grant: DBI-1949629
Carnegie Mellon University Center for Machine Learning and Health
Grant: NA
King Abdullah University of Science and Technology
Grant: URF/1/2602-01
King Abdullah University of Science and Technology
Grant: URF/1/3007-01
National Science Foundation
Grant: 2007595
III: Small: Improving automation and speed of macromolecule recognition and localization in cryo-electron tomography using unsupervised deep learning
National Institutes of Health
Grant: 5P41GM103712-08
High Performance Computing for Multiscale Modeling of Biological Systems
National Science Foundation
Grant: 1949629
IIBR Informatics: Reducing the training data annotation cost for learning-based macromolecule identification in cellular electron cryo-tomography
FWCI
0.38
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals