Author

Kaori L. Ito

University of Southern CaliforniaORCID 0000-0001-6380-6755Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:database / resource· 1 Approach:statistical model· 1

Frequent Co-Authors

Sook‐Lei LiewiD· 3 shared Allie SchmiesingiD· 2 shared Hosung KimiD· 2 shared Stéphanie LefebvreiD· 2 shared Alison Stroud· 1 shared Amy PientaiD· 1 shared Bokkyu KimiD· 1 shared Bonhwang KooiD· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Sook‐Lei LiewORCID

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3 papers

Recent·Most cited

NeuroscienceScientific ReportsPeer-reviewedNov 26, 2019

Differences in high-definition transcranial direct current stimulation over the motor hotspot versus the premotor cortex on motor network excitability

Stéphanie Lefebvre, Kay Jann, Allie Schmiesing…·Sook‐Lei Liew

This study compares the effects of high-definition tDCS over the motor hotspot and premotor cortex on motor network excitability, finding greater responsiveness and fMRI complexity changes with premotor stimulation.

31 citations

humanexperimental assay

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NeuroscienceHuman Brain MappingPeer-reviewedJul 26, 2019

A comparison of automated lesion segmentation approaches for chronic stroke T1-weighted MRI data

Kaori L. Ito, Hosung Kim, Sook‐Lei Liew

The paper compares automated lesion segmentation methods for chronic stroke T1-weighted MRI data, finding LINDA performs best overall while Gaussian Bayes has highest recall.

65 citationstop 5%

humanimaging

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NeuroscienceScientific DataPeer-reviewedFeb 20, 2018

A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

Sook‐Lei Liew, Julia M. Juliano, Nick W. Banks…·Alison Stroud

The paper introduces ATLAS, a dataset of 304 T1-weighted MRIs with manual lesion segmentations to improve lesion segmentation algorithm accuracy.

283 citations

humanimaging

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