Wave-Encoded Model-Based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction is a research paper published in Bioengineering (2022). On theSindex it has a DataRank of 0. It has been cited 13 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.
NIH
Grant: R01 EB028797
NIH
Grant: R03 EB031175
NIH
Grant: P41 EB030006
NIH
Grant: U01 AG052564
NIH
Grant: U01 AG052564-S1
NIH
Grant: U01 EB025162
NIH
Grant: U01 EB026996
National Institutes of Health
Grant: 5U01EB026996-04
Connectome 2.0: Developing the next generation human MRI scanner for bridging studies of the micro-, meso- and macro-connectome
National Institutes of Health
Grant: 3U01AG052564-02S2
Mapping the Human Connectome During Typical Aging
National Institutes of Health
Grant: 5R03EB031175-02
Rapid Fetal HASTE MR Imaging
National Institutes of Health
Grant: 5U01EB025162-04
MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNER
National Institutes of Health
Grant: 1P41EB030006-01
Center for Mesoscale Mapping
National Institutes of Health
Grant: 5R01EB028797-02
Advanced Neuroimaging through Novel Encoding Strategies and Hardware Design
FWCI
1.56
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords