Author

Kenichiro Sato

The University of TokyoORCID 0000-0003-4351-9526Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

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Approach:deep learning· 1 Assay:imaging· 1

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Atsushi IwataiD· 1 shared Tatsuo ManoiD· 1 shared Tatsushi TodaiD· 1 shared Yu NagashimaiD· 1 shared

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2019-2019 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Atsushi IwataORCID

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1 paper

Recent·Most cited

NeurosciencePLoS ONEPeer-reviewedNov 14, 2019

Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning-based 2D pose estimator

Kenichiro Sato, Yu Nagashima, Tatsuo Mano…·Tatsushi Toda

This paper develops a deep learning-based method to quantify gait features and estimate cadence from home-recorded videos of normal and parkinsonian gait.

93 citationstop 4%

imagingdeep learning

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