Author

Ruyi Huang

University of California, Los AngelesORCID 0000-0003-3575-3793Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

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Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Anahita HosseiniiD· 1 shared Babak MoatamediD· 1 shared Daniel C.-T. LuiD· 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

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

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

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, Hamidreza Ghasemi Damavandi, Tali Homsey, Babak Moatamed, Anahita Hosseini, Ruyi Huang, James C. Leiter, Majid Sarrafzadeh, 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.

bioRxiv · Jun 7, 2018 · PreprintNeuroscience