Author

Andrew B. Stiemke

University of Tennessee Health Science CenterORCID 0000-0002-0845-8687Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Organism:rat· 2 Approach:benchmark study· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Benton ChuteriD· 2 shared Jay HerriniD· 2 shared Min Young KimiD· 2 shared Monica M. JablonskiiD· 2 shared Nikhil DaveiD· 2 shared TJ HollingsworthiD· 2 shared Zirui ZhouiD· 2 shared Abraham A. PalmeriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioengineering

Benton ChuterORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintAug 31, 2026

A Systematic Review and Independent Benchmarking of Automated Nerve Morphometry Methods

Benton Chuter, Min Young Kim, Andrew B. Stiemke…·Monica M. Jablonski

This paper benchmarks automated nerve morphometry tools on mouse and rat optic nerve datasets, finding comparable performance between classical and deep learning methods.

DOI 10.64898/2026.06.15.731646

mouserat

𝕏 PostBluesky

BioengineeringBioengineeringPeer-reviewedMay 30, 2026

Comparison of Deep Learning Tools for Optic Nerve Axon Quantification Finds Limited Generalizability on Independent Validation

Benton Chuter, Noah Emmert, Min Young Kim…·Monica M. Jablonski

This study evaluates three deep learning models for optic nerve axon quantification on a novel rat dataset, finding reduced performance compared to published benchmarks.

1 citation

ratimaging

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