Akshay Sujatha Ravindran

University of Houston, Interface (United States)

Papers

2

Total Citations

27

H-Index

2

About

No biography available yet.

Research Focus

Physical medicine and rehabilitation2 · 27 citations
Neuroscience2 · 27 citations
Computer science2 · 27 citations
Medicine2 · 27 citations
Balance (ability)2 · 27 citations
Psychology2 · 27 citations
Electroencephalography2 · 27 citations
Artificial intelligence1 · 14 citations
Convolutional neural network1 · 14 citations
Deep learning1 · 14 citations
Interpretability1 · 14 citations
Machine learning1 · 14 citations

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss
14 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Houston, Interface (United States)

Top Papers

  1. 1
    Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss
    14 citations · 2020
  2. 2
    Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model
    13 citations · 2022

Key Collaborators

GEGerard E. Francisco2 shared papersCAChristopher A. Malaya2 shared papersCSCharles S. Layne2 shared papersJLJosé L. Contreras-Vidal2 shared papersIJIsaac John2 shared papersMCManuel Cestari1 shared papers
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