Author

Hilary Phenix

University of Ottawa

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 Organism:yeast· 1

Frequent Co-Authors

Danny SalemiD· 1 shared Mads KærniD· 1 shared Miroslava Čuperlović‐CulfiD· 1 shared Pengcheng XiiD· 1 shared Yifeng LiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Danny SalemORCID

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1 paper

Recent·Most cited

YeastNet: Deep Learning Enabled Accurate Segmentation of Budding Yeast Cells in Bright-field Microscopy

Danny Salem, Yifeng Li, Pengcheng Xi, Hilary Phenix, Miroslava Čuperlović‐Culf, Mads Kærn

YeastNet improves yeast cell segmentation in bright-field microscopy using a U-Net model, outperforming existing tools and providing a Python package for automated analysis.

Applied Sciences · Mar 17, 2021Peer-reviewedBioinformatics