Author

Mateusz Koziński

École Polytechnique Fédérale de LausanneORCID 0000-0002-3187-518XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:yeast· 1

Frequent Co-Authors

Ahmad Reza Sadeghi· 1 shared Anne‐Florence BitboliD· 1 shared Augoustina Maria EconomouiD· 1 shared Chun Hei Michael ChaniD· 1 shared Denis Alain Henri Lucien JolyiD· 1 shared MARTIN G. WEIGERTiD· 1 shared Matthias Minder· 1 shared Nicola DietleriD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ahmad Reza Sadeghi

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 12, 2020

YeaZ: A convolutional neural network for highly accurate, label-free segmentation of yeast microscopy images

Nicola Dietler, Matthias Minder, Vojislav Gligorovski…·Sahand Jamal Rahi

The paper introduces YeaZ, a CNN for accurate yeast cell segmentation without fluorescent markers, outperforming existing methods and revealing new biology in cell morphology.

149 citationstop 1%

yeastimaging

𝕏 PostBluesky