Author

Aarushi S. Negi

ORCID 0000-0002-4216-8317Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Catie E. ChangiD· 1 shared Danika Lea PauloiD· 1 shared Dario J. EnglotiD· 1 shared Derek J. DossiD· 1 shared Graham Walter JohnsoniD· 1 shared Hernán F. J. GonzáleziD· 1 shared Jasmine W. Jiang· 1 shared Leon Y. CaiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Catie E. ChangORCID

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1 paper

Recent·Most cited

Multi-channel deep learning with intracranial neurostimulation can localize seizure onset zones in humans

Graham Walter Johnson, Leon Y. Cai, Derek J. Doss, Jasmine W. Jiang, Aarushi S. Negi, Saramati Narasimhan, Danika Lea Paulo, Hernán F. J. González, Shawniqua Williams Roberson, Sarah K. B. Bick, Catie E. Chang, Victoria L. Morgan, Mark T. Wallace, Dario J. Englot

This paper develops a deep learning model to classify seizure onset zones using cortico-cortical evoked potentials from intracranial neurostimulation recordings.

bioRxiv · Feb 28, 2022 · PreprintNeuroscience