Author

Yeun Kim

University of California, Los AngelesORCID 0000-0002-5584-3318Unclaimed 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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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

David W. ShattuckiD· 2 shared Allan D. WuiD· 1 shared Allan J. MacKenzie‐GrahamiD· 1 shared Anand A. JoshiiD· 1 shared Bruce H. DobkiniD· 1 shared Cassandra MeyeriD· 1 shared Chitresh BhushaniD· 1 shared Choi DeblieckiD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersNeuroscience

David W. ShattuckORCID

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3 papers

Recent·Most cited

Mouse Brain Extractor: Brain segmentation of mouse MRI using global positional encoding and SwinUNETR

Yeun Kim, Haley Hrncir, Cassandra Meyer, Manal Tabbaa, Rex A. Moats, Pat R. Levitt, Neil G. Harris, Allan J. MacKenzie‐Graham, David W. Shattuck

The paper develops a deep learning method for mouse MRI brain segmentation using global positional encoding, achieving high accuracy and outperforming existing methods.

bioRxiv · Sep 3, 2024 · PreprintNeuroscience

BrainSuite BIDS App: Containerized Workflows for MRI Analysis

Yeun Kim, Anand A. Joshi, Soyoung Choi, Shantanu H. Joshi, Chitresh Bhushan, Divya Varadarajan, Justin P. Haldar, Richard M. Leahy, David W. Shattuck

The paper introduces BrainSuite BIDS App, a containerized workflow for MRI analysis that supports structural, diffusion, and functional data processing using standardized BIDS formats.

bioRxiv · Mar 14, 2023 · PreprintNeuroscience

Individual level reliability of PAS-induced neural plasticity

Yeun Kim, Jacqueline P. Ngo, Choi Deblieck, Dylan J. Edwards, Bruce H. Dobkin, Allan D. Wu, Marco Iacoboni

The paper assesses the reliability of neural plasticity changes induced by PAS at the individual level and finds that 40-50 MEPs are needed to reliably detect individual responsiveness.

bioRxiv · Apr 26, 2017 · PreprintNeuroscience