Author

Norbert Bara

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

András KristoniD· 2 shared Csaba MolnáriD· 2 shared Ferenc KovácsiD· 2 shared Péter HorváthiD· 2 shared Tamás Balassa· 2 shared Tímea TóthiD· 2 shared Ábel SzkalisityiD· 1 shared Allen GoodmaniD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

András KristonORCID

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2 papers

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

Show me your neighbours, and I’ll tell you what you are – cellular microenvironment matters

Tímea Tóth, Tamás Balassa, Norbert Bara, Ferenc Kovács, András Kriston, Csaba Molnár, Lajos Haracska, Farkas Sükösd, Péter Horváth

The paper shows that incorporating microenvironmental features improves machine learning-based single-cell phenotyping in imaging data.

Scientific Reports · Jun 28, 2018Peer-reviewedBioinformatics