Author

Jinook Oh

Austrian Academy of SciencesORCID 0000-0001-7425-2372Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:multiple species· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Marisa HoescheleiD· 1 shared Sylvia CremeriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 0 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Marisa HoescheleORCID

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintAug 21, 2026

Open-source tag-free monitoring of individual birds using automated weighing and deep-learning recognition

Jinook Oh, Marisa Hoeschele

This paper introduces an open-source system for non-invasive bird monitoring using automated weighing, temperature sensing, and deep-learning recognition.

DOI 10.64898/2026.08.17.745158

imagingdeep learning

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Animal Behavior & CognitionMethods in Ecology and EvolutionPeer-reviewedMar 6, 2026

ALTAA: analysis of long-term activity patterns in ant colonies

Jinook Oh, Sylvia Cremer

ALTAA is a system for recording, analyzing, and simulating long-term spatiotemporal activity patterns in ant colonies, revealing motion periodicity and spatial attraction behaviors.

2 citationstop 4%

multiple speciesimaging

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