Author

Saramati Narasimhan

Vanderbilt UniversityORCID 0000-0002-2965-2200Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Catie E. ChangiD· 2 shared Danika Lea PauloiD· 2 shared Dario J. EnglotiD· 2 shared Derek J. DossiD· 2 shared Graham Walter JohnsoniD· 2 shared Hernán F. J. GonzáleziD· 2 shared Victoria L. MorganiD· 2 shared Aarushi S. NegiiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersNeuroscience

Catie E. ChangORCID

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Author profile →

2 papers

Recent·Most cited

Deep learning segmentation of the nucleus basalis of Meynert on 3T MRI

Derek J. Doss, Graham Walter Johnson, Saramati Narasimhan, Jared S. Shless, J.W. Jiang, Hernán F. J. González, Danika Lea Paulo, Alfredo Lucas, Kathryn A. Davis, Catie E. Chang, Victoria L. Morgan, Christos Constantinidis, Benoît M. Dawant, Dario J. Englot

This paper develops a deep learning model to accurately segment the nucleus basalis of Meynert on 3T MRI, showing improved performance over standard atlases in both healthy subjects and TLE patients.

American Journal of Neuroradiology · Aug 10, 2023Peer-reviewedNeuroscience

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