Author

Mate Gorbe

HUN-REN Szegedi Biológiai Kutatóközpont

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 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Ábel SzkalisityiD· 1 shared Allen GoodmaniD· 1 shared András KristoniD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Árpád Bálind· 1 shared Botond Mathe· 1 shared Csaba MolnáriD· 1 shared Ede MighiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ábel SzkalisityORCID

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1 paper

Recent·Most cited

A deep learning framework for nucleus segmentation using image style transfer

Réka Hollandi, Ábel Szkalisity, Tímea Tóth, Ervin Tasnádi, Csaba Molnár, Botond Mathe, István Grexa, József Molnár, Árpád Bálind, Mate Gorbe, Mária Kovács, Ede Migh, Allen Goodman, Tamás Balassa, Krisztián Koós, , Péter Horváth

The paper introduces a deep learning framework for nucleus segmentation that uses image style transfer to adapt to new data without expert annotations, outperforming existing methods on diverse microscopy images.

Cell Systems · May 1, 2020Peer-reviewedBioinformatics