Author

U. Eskiocak

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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Cell Biology· 1

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. Nevarez· 1 shared A. R. Jamieson· 1 shared A. Zaritsky· 1 shared B. L. Cantarel· 1 shared E. S. Welf· 1 shared G. Danuser· 1 shared J. Cillay· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

A. Nevarez

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1 paper

Recent·Most cited

Cell BiologybioRxivMay 15, 2020

Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma

A. Zaritsky, A. R. Jamieson, E. S. Welf…·G. Danuser

This paper uses an adversarial auto-encoding deep learning model to classify metastatic efficiency in melanoma cells from label-free live cell images and identifies pseudopodial extensions and light scattering as functional hallmarks.

DOI 10.1016/j.cels.2021.05.003

humanimaging

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