Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data is a research paper published in IEEE Transactions on Medical Imaging (2022). On theSindex it has a DataRank of 0.533. It has been cited 34 times.
Scored on demand from live citation data
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Base Score Contribution
0.533
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.
Learn more about DataRank methodology →NIH/National Eye Institute
Grant: R01-EY032284
NIH/National Institute of Neurological Disorders and Stroke
Grant: R01-NS082347
NEI NIH HHS
Grant: R01 EY032284
NINDS NIH HHS
Grant: R01 NS082347
National Institutes of Health
Grant: 4R01NS082347-04
Imaging neurodegeneration in multiple sclerosis
National Institutes of Health
Grant: 5R01EY032284-04
OCT and OCTA image processing for retinal assessment of people with MS
Intramural Research Program of the NIH, National Institute on Aging
FWCI
3.90
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords