Author

Mackenzie N. Pitts

University of WashingtonORCID 0000-0001-5346-5694Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1

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J Nathan KutziD· 1 shared Katherine M. SteeleiD· 1 shared Megan R. EbersiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperSystems Biology

J Nathan KutzORCID

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1 paper

Recent·Most cited

Systems BiologybioRxivPreprintJun 1, 2024

Human motion data expansion from arbitrary sparsesensors with shallow recurrent decoders

Megan R. Ebers, Mackenzie N. Pitts, J Nathan Kutz, Katherine M. Steele

This paper develops a deep learning method to reconstruct dense human motion data from sparse sensors, enabling accurate tracking of unmonitored body segments and improving digital biomarker estimates.

1 citation

humanimaging

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