Author

Roghayeh Shirvani

TU WienORCID 0000-0002-0472-5776Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:fungi (other)· 1 Assay:imaging· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Astrid Rosa Mach-AigneriD· 1 shared Caroline DanneriD· 1 shared Christian ZimmermanniD· 1 shared Jordy T. ZwerusiD· 1 shared Julian KoppiD· 1 shared Kartik J. DeopujariiD· 1 shared Matthias SchmaliD· 1 shared Mihail BesleagaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Astrid Rosa Mach-AignerORCID

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1 paper

Recent·Most cited

MicrobiologybioRxivPreprintJul 23, 2025

TU_MyCo-Vision: A Deep Learning Tool for Detection of Cell Morphologies in Fungal Microscopic Images

Kartik J. Deopujari, Matthias Schmal, Caroline Danner…·Christian Zimmermann

The paper introduces TU_MyCo-Vision, a deep learning tool for detecting 13 fungal morphotypes in bright-field images, showing strong performance on Aureobasidium pullulans and other fungal species.

DOI 10.1101/2025.07.23.666349

fungi (other)imaging

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