Author

L. E. Hession

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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Animal Behavior & Cognition· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Organism:mouse· 2

Frequent Co-Authors

G. A. Churchill· 1 shared G. S. Sabnis· 1 shared G. Sabnis· 1 shared J. A. Beierle· 1 shared K. Kim· 1 shared V. A. Kumar· 1 shared V. Kumar· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

G. A. Churchill

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintDec 29, 2022

A high-throughput machine vision-based univariate scale for pain and analgesia in mice

G. S. Sabnis, L. E. Hession, K. Kim…·V. A. Kumar

This paper develops a machine vision-based tool to assess pain and analgesia in mice, outperforming traditional methods and enabling high-throughput analysis.

DOI 10.1101/2022.12.29.522204

mouseimaging

𝕏 PostBluesky

Animal Behavior & CognitionNature AgingPeer-reviewedAug 16, 2022

A machine vision based frailty index for mice

L. E. Hession, G. Sabnis, G. A. Churchill, V. Kumar

This paper introduces a machine learning-based visual frailty index (vFI) for mice using video data, achieving high accuracy in predicting frailty scores and enabling scalable aging studies.

DOI 10.1038/s43587-022-00266-0

mouseimaging

𝕏 PostBluesky