Author

Daniel C.-T. Lu

University of California, Los AngelesORCID 0000-0003-2162-3672Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

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Approach:deep learning· 1 Organism:human· 1

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Anahita HosseiniiD· 1 shared Babak MoatamediD· 1 shared Hamidreza Ghasemi Damavandi· 1 shared Haydn HoffmaniD· 1 shared James C. LeiteriD· 1 shared Lisa Dorothy Moore· 1 shared Majid SarrafzadehiD· 1 shared Mohammad KachueeiD· 1 shared

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2018-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Anahita HosseiniORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintJun 7, 2018

Predicting the effects of epidural stimulation to improve hand function in patients with spinal cord injury: An active learning-based solution using dynamic sample weighting

Mohammad Kachuee, Haydn Hoffman, Lisa Dorothy Moore…·Daniel C.-T. Lu

This paper develops a deep learning framework with active learning to predict the effects of cervical epidural stimulation on hand function in spinal cord injury patients, achieving 15% prediction error.

DOI 10.1101/341719

humandeep learning

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