Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach is a research paper published in Brain Communications (2021). On theSindex it has a DataRank of 0. It has been cited 46 times.
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Linked data & code
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NINDS NIH HHS
Grant: R01 NS033310
NINDS NIH HHS
Grant: R01 NS106957
NCATS NIH HHS
Grant: UL1 TR001881
NINDS NIH HHS
Grant: U54 NS100064
National Institutes of Health
Grant: 5R01NS033310-07
IN VIVO STUDIES OF THE EPILEPTIC HIPPOCAMPUS
National Institutes of Health
Grant: 5U54NS100064-05
The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx)
National Institutes of Health
Grant: 3UL1TR001881-01S2
UCLA Clinical Translational Science Institute
American Academy of Neurology
FWCI
3.83
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Open iEEG Dataset (Pediatric iEEG, Wayne State University and UCLA)
Open iEEG Dataset (Pediatric iEEG, Wayne State University and UCLA)