Pedram Parnianpour

Project Description

I work on using neuroimaging to better understand ALS and related disorders. My projects include applying machine learning to study neurodegeneration, exploring fMRI as a possible clinical trial tool, investigating MRI and PET biomarkers, using texture analysis to detect subtle changes, and developing staging and prognosis models that may help design more precise trials.

Research Classification

  • Medical, health and life sciences
  • Medical and biomedical engineering

Research Interests

  • Neuroimaging (MRI and PET)
  • Machine Learning
  • Neurodegenerative disorders

Research Methodology

  • machine learning
  • Statistics
  • Image and signal processing
  • MRI

Faculty

Faculty of Medicine