Author

Lisa Laux

University of GlasgowORCID 0000-0003-0157-5538Unclaimed 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:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

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Bjørn Sand JenseniD· 1 shared Marie F.A. CutiongcoiD· 1 shared Nikolaj GadegaardiD· 1 shared

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2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Bjørn Sand JensenORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedSep 11, 2020

Interactive machine learning for fast and robust cell profiling

Lisa Laux, Marie F.A. Cutiongco, Nikolaj Gadegaard, Bjørn Sand Jensen

This paper introduces an interactive machine learning approach to optimize cell profiling pipelines by reducing cognitive load and improving segmentation quality compared to trial-and-error methods.

6 citations

imagingmachine learning (classical)

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