Author

Hyun-Gi Min

Pusan National UniversityORCID 0000-0002-9656-2045Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:non-human primate· 1

Frequent Co-Authors

Daejin ChoiiD· 1 shared Han S. KimiD· 1 shared Jeongwon ChoiiD· 1 shared June WeeiD· 1 shared Lee-Hyeon JeoniD· 1 shared Wonjun HongiD· 1 shared Yun‐Sik LeeiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperEcology

Daejin ChoiORCID

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1 paper

Recent·Most cited

Deep learning-based counting and body-area measurement enable sensitive population-level endpoints in the Collembola reproduction test

Hyun-Gi Min, Lee-Hyeon Jeon, Jeongwon Choi, Han S. Kim, June Wee, Wonjun Hong, Daejin Choi, Yun‐Sik Lee

This paper develops an automated system using deep learning to count and measure body area in springtails, providing sensitive population-level endpoints for ecotoxicological assessments.

bioRxiv · Oct 20, 2026 · PreprintEcology