Author

Seohyun Kim

Korea Advanced Institute of Science and TechnologyORCID 0000-0002-3248-7429Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Seohyun Kim1 paper · Emory University

Biology Disciplines

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Developmental Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Approach:experimental assay· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Hoewon Park· 2 shared Ki‐Jun YooniD· 2 shared Daesoo KimiD· 1 shared Eui-been Hwang· 1 shared Eunjin Yang· 1 shared Geon KimiD· 1 shared Gyungtae Yoon· 1 shared J ParkiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersDevelopmental Biology

Hoewon Park

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2 papers

Recent·Most cited

Deep Learning-Guided Holotomography Reveals Early Structural Remodelling During Pluripotency Exit

Hoewon Park, Geon Kim, Jeongwon Shin, Seohyun Kim, Eui-been Hwang, M U Kim, Taewoong Hwang, 임아림, Gyungtae Yoon, J Park, Young-woo Jeon, Nam-Shik Kim, YongKeun Park, Ki‐Jun Yoon

DeepHOPE uses deep learning and 3D imaging to assess pluripotency in hPSCs, detecting structural changes before molecular loss of pluripotency.

bioRxiv · Apr 27, 2026 · PreprintDevelopmental Biology

Organelle-Aware Representation Learning Enables Label-Free Detection of Mitochondrial Dysfunction in Live Human Neurons

SeungJu Yoo, Eunjin Yang, Seohyun Kim, Hoewon Park, Daesoo Kim, Ki‐Jun Yoon, Minee L. Choi

This paper introduces a noninvasive framework using optical diffraction tomography and organelle-aware representation learning to detect mitochondrial dysfunction in live human neurons with high accuracy.

bioRxiv · Oct 12, 2025 · PreprintNeuroscience