Author

C. Marzahl

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Bartel· 2 shared A. Maier· 2 shared C. A. Bertram· 2 shared K. Breininger· 2 shared M. Aubreville· 2 shared R. Klopfleisch· 2 shared A. Fuchs-Baumgartinger· 1 shared A. Glaesel· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersPathology

A. Bartel

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2 papers

Recent·Most cited

PathologybioRxivFeb 28, 2022

Cytologic Scoring of Equine Exercise-Induced Pulmonary Hemorrhage (EIPH): Performance of Human Experts and a Deep Learning-Based Algorithm

C. A. Bertram, C. Marzahl, A. Bartel…·J. Hill

This study evaluates the diagnostic accuracy and reproducibility of human experts and a deep learning algorithm for scoring exercise-induced pulmonary hemorrhage in horses using bronchoalveolar lavage fluid.

DOI 10.1177/03009858221137582

imagingdeep learning

𝕏 PostBluesky

PathologybioRxivJun 4, 2021

Computer-Assisted Mitotic Count Using a Deep Learning-based Algorithm Improves Inter-Observer Reproducibility and Accuracy in canine cutaneous mast cell tumors

C. A. Bertram, M. Aubreville, T. A. Donovan…·R. Klopfleisch

DOI 10.1177/03009858211067478

imagingdeep learning

𝕏 PostBluesky