Author

Sang kyoon Park

University of North Carolina at Chapel Hill

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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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Abigail K. Trocinski· 1 shared Adam D. KashlaniD· 1 shared Bonnie Taylor‐BlakeiD· 1 shared Dan F. Ryan· 1 shared Emil A. CorneaiD· 1 shared Eric S. McCoyiD· 1 shared Guorong Wu AiD· 1 shared Hannah BazickiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Abigail K. Trocinski

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2 papers

Recent·Most cited

Impacts of perinatal factors on white matter outcome at 8 to 10 years by diffusion tensor imaging

Injoong Kim, Omar Azrak, Mark B. Foster, Emil A. Cornea, Sang kyoon Park, Yoonmi Hong, Martin Andreas Styner, John H. Gilmore

The paper examines the impact of perinatal factors on white matter microstructure in children aged 8-10 years using diffusion tensor imaging.

bioRxiv · Oct 5, 2025 · PreprintNeuroscience

Development and validation of PainFace, a software platform that simplifies and standardizes mouse grimace analyses

Eric S. McCoy, Sang Kyoon Park, Rahul P. Patel, Dan F. Ryan, Zachary J. Mullen, Jacob J. Nesbitt, Josh E. Lopez, Bonnie Taylor‐Blake, James L. Krantz, Wenxin Hu, Rosanna L. Garris, Lucas Vasconcelos Lima, Susana G. Sotocinal, Jean‐Sebastien Austin, Adam D. Kashlan, , Mark J. Zylka

The paper develops PainFace, a deep learning platform for automated mouse grimace scoring, showing it outperforms humans in speed and data generation, and identifies pain-related facial expressions.

bioRxiv · Aug 12, 2022 · PreprintNeuroscience