Author

H. Hoefling

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:rat· 1

Frequent Co-Authors

A. Doelemeyer· 1 shared A. Piaia· 1 shared C. Saravanan· 1 shared E. Sutter· 1 shared G. Santarossa· 1 shared I. Hossain· 1 shared J. Boisclair· 1 shared K. Wuersch· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

A. Doelemeyer

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1 paper

Recent·Most cited

A deep learning-based model of normal histology

T. Sing, H. Hoefling, I. Hossain, J. Boisclair, A. Doelemeyer, T. Flandre, A. Piaia, V. Romanet, G. Santarossa, C. Saravanan, E. Sutter, O. Turner, K. Wuersch, P. Moulin

This paper develops deep learning models to characterize normal histology in rat tissues, showing they can detect abnormalities and generalize to other species.

bioRxiv · Dec 5, 2019 · PreprintPathology