Author

W.-S. Kim

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:deep learning· 2 Assay:electrophysiology· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

N.-J. Paik· 3 shared G.-Y. Choi· 2 shared H.-J. Hwang· 2 shared A. Bar-Zion· 1 shared C. E. Han· 1 shared C.-H. Han· 1 shared D. Malounda· 1 shared H. Davis· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBioengineering

N.-J. Paik

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Author profile →

4 papers

Recent·Most cited

Motor Hotspot Localization Based on Electroencephalography Using Convolutional Neural Network in Patients with Stroke

G.-Y. Choi, J.-K. Seo, K. T. Kim, W. K. Chang, N.-J. Paik, W.-S. Kim, H.-J. Hwang

This paper develops a deep learning model using EEG to identify motor hotspots in stroke patients, achieving low error distances compared to TMS.

bioRxiv · Mar 6, 2024 · PreprintBioengineering

Magneto-acoustic protein nanostructures for non-invasive imaging of tissue mechanics in vivo

W.-S. Kim, S. Min, S. K. Kim, S. Kang, H. Davis, A. Bar-Zion, D. Malounda, Y. H. Kim, S. An, J.-H. Lee, S. H. Bae, J. G. Lee, M. Kwak, S.-W. Cho, M. G. Shapiro, J. Cheon

This paper introduces magneto-gas vesicles (MGVs) for non-invasive in vivo imaging of tissue mechanics, showing improved sensitivity and resolution compared to existing methods.

bioRxiv · May 26, 2022Biochemistry

An artificial Neural-Network Approach for Motor Hotspot Identification Based on Electroencephalography: A Proof-of-Concept Study

G.-Y. Choi, C.-H. Han, H.-T. Lee, N.-J. Paik, W.-S. Kim, H.-J. Hwang

This study validates an EEG-based motor hotspot identification method using an artificial neural network, showing a mean error distance of 0.22 cm compared to TMS.

bioRxiv · May 9, 2021Bioengineering

Immersive virtual prism adaptation therapy with depth sensing camera: A feasibility study with functional near infrared spectroscopy in healthy adults

S. Cho, W.-S. Kim, J. Park, S. H. Lee, J. Lee, C. E. Han, N.-J. Paik

This study tests virtual prism adaptation therapy using a depth-sensing camera and fNIRS in healthy adults to assess behavioral and cortical changes during adaptation phases.

bioRxiv · Apr 7, 2021Bioengineering