Author

Hirotsugu Azechi

Doshisha UniversityORCID 0000-0001-8009-3662Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:behavioral assay· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

SUSUMU Y. TAKAHASHIiD· 2 shared Akiko KotoiD· 1 shared Annakarina MundorfiD· 1 shared Chitose Yamazaki· 1 shared Genta ToyaiD· 1 shared Hiraku NishimoriiD· 1 shared Hiroki KodaiD· 1 shared Hiroshi MatsuiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersAnimal Behavior & Cognition

SUSUMU Y. TAKAHASHIORCID

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintOct 8, 2026

DiverScan: attention-guided exploratory analysis of animal behaviour across diverse comparative experiments

Momoe Sukegawa, Hirotsugu Azechi, Tatsumi Butsugan…·Takuya Maekawa

DiverScan is a deep-learning framework that uses attention mechanisms to analyze animal behavior data, identifying condition-specific features across diverse experiments.

DOI 10.64898/2026.10.01.755818

multiple speciesdeep learning

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Animal Behavior & CognitionPLoS BiologyPeer-reviewedFeb 10, 2025

vmTracking: Virtual Markers Overcome Occlusion and Crowding in Multi-Animal Pose Tracking

Hirotsugu Azechi, SUSUMU Y. TAKAHASHI

vmTracking uses virtual markers to improve multi-animal pose tracking by overcoming occlusion and crowding with minimal manual correction.

10 citations

mousezebrafish

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