Author

Taehyun Kim

Royal Brisbane and Women's HospitalPrimary ORCID profile (0000-0003-3871-5776 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

TaeHyun KimiD1 paper · Massachusetts Institute of Technology

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Amy E. McCart ReediD· 1 shared Chenhao ZhouiD· 1 shared Fred RoostaiD· 1 shared Jacky XieiD· 1 shared Kiarash KhosrotehraniiD· 1 shared Maciej TrzaskowskiiD· 1 shared Nan YeiD· 1 shared Onkar MulayiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Amy E. McCart ReedORCID

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1 paper

Recent·Most cited

STimage: Robust, confident and interpretable models for predicting gene markers from cancer histopathological images

Xiao Tan, Onkar Mulay, Jacky Xie, Samual MacDonald, Taehyun Kim, Chenhao Zhou, Zherui Xiong, Samuel X. Tan, Nan Ye, Amy E. McCart Reed, Kiarash Khosrotehrani, Fred Roosta, Maciej Trzaskowski, Peter T. Simpson, Quan Hoang Nguyen

STimage predicts gene expression and classifies cell types from histopathological images, improving robustness and interpretability for cancer and disease analysis.

Nature Communications · Jan 16, 2026Peer-reviewedBioinformatics