Author

P. Niehusmann

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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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

A. Brehmer· 1 shared A. Muhlebner-Fahrngruber· 1 shared A. Popp· 1 shared E. Aronica· 1 shared F. Rogerio· 1 shared F. Soylemezoglu· 1 shared H. Miyata· 1 shared I. Bluemcke· 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. Brehmer

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Author profile →

1 paper

Recent·Most cited

Same same but different: a web-based deep learning application for the histopathologic distinction of cortical malformations

J. Kubach, A. Muhlebner-Fahrngruber, F. Soylemezoglu, H. Miyata, P. Niehusmann, M. Honavar, F. Rogerio, S.-H. Kim, E. Aronica, R. Garbelli, S. Vilz, A. Popp, S. Walcher, N. Christoph, M. Scholz, , S. Jabari

The paper trains a CNN to distinguish between FCD IIb and TSC using histopathologic images and develops a web app for classification.

bioRxiv · Oct 15, 2019 · PreprintPathology