Author

Alexander Schreiner

PerkinElmer (Germany)

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Daniel MajoraliD· 1 shared Dmytro FishmaniD· 1 shared Jan WildenhainiD· 1 shared Kaupo PaloiD· 1 shared Leopold PartsiD· 1 shared Samantha E. PeeliD· 1 shared Sten‐Oliver Salumaa· 1 shared

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2019-2019 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Daniel MajoralORCID

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1 paper

Recent·Most cited

Segmenting nuclei in brightfield images with neural networks

Dmytro Fishman, Sten‐Oliver Salumaa, Daniel Majoral, Samantha E. Peel, Jan Wildenhain, Alexander Schreiner, Kaupo Palo, Leopold Parts

This paper demonstrates accurate nucleus segmentation from brightfield images using deep learning, showing that three CNN architectures can achieve this with U-Net performing best.

bioRxiv · Sep 10, 2019 · PreprintBioinformatics