Author

Jonathan Roth

Broad InstituteORCID 0000-0002-4267-8835Unclaimed ORCID profile · follow to get notified of new preprints

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Jonathan Roth2 papers · Rutgers, The State University of New Jersey

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1

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Allen GoodmaniD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Claire McQuin· 1 shared Csaba MolnáriD· 1 shared Fabian Joachim TheisiD· 1 shared Juan C. CaicedoiD· 1 shared Kyle W. KarhohsiD· 1 shared Matthieu Broisin· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperBioinformatics

Allen GoodmanORCID

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1 paper

Recent·Most cited

BioinformaticsCytometry Part APeer-reviewedJul 16, 2019

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Juan C. Caicedo, Jonathan Roth, Allen Goodman…·Anne Elizabeth Carpenter

This study evaluates deep learning strategies for nucleus segmentation in fluorescence images, showing U-Net outperforms classical methods and reduces biologically relevant errors.

327 citationstop 1%

imagingdeep learning