Author

S. Sheehan

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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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

J. Klug· 1 shared J. M. Mahoney· 1 shared M. Chen· 1 shared R. Korstanje· 1 shared S. Mawe· 1 shared W. C. Ladiges· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperPathology

J. Klug

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1 paper

Recent·Most cited

A machine learning approach for quantifying age-related histological changes in the mouse kidney.

S. Sheehan, S. Mawe, M. Chen, J. Klug, W. C. Ladiges, R. Korstanje, J. M. Mahoney

This paper develops a machine learning model to quantify age-related histological changes in mouse kidneys, validated against pathologist scores and applied to provide reproducible age scores.

bioRxiv · Jul 7, 2023Pathology