Unsupervised Machine Learning

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  Subject Areas on Research

  • A novel, data-driven conceptualization for critical left heart obstruction. 
  • Adolescent alcohol use is linked to disruptions in age-appropriate cortical thinning: an unsupervised machine learning approach. 
  • Deep Learning in Medical Image Analysis. 
  • Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity. 
  • Learnability of prosodic boundaries: Is infant-directed speech easier? 
  • Novel Imaging Revealing Inner Dynamics for Cardiovascular Waveform Analysis via Unsupervised Manifold Learning. 
  • Obese-Inflammatory Phenotypes in Heart Failure With Preserved Ejection Fraction. 
  • Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic ( $\mu $ ECoG) Data. 
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  Keywords of People

  • Hong, Chuan, Assistant Professor of Biostatistics & Bioinformatics, Duke Clinical Research Institute
  • Reker, Daniel, Assistant Professor of Biomedical Engineering, Biomedical Engineering