Topics covered:

  • Machine learning
  • Neuroimaging
  • Neuroimaging Quality Control
  • Data Science and High performance computing

Machine learning (ML)

Practical Introduction to ML: What, Which and How?

Cross-validation tutorial [very popular]

Conquering confounds and covariates in predictive modeling

Proposal for standardizing biomarker performance via neuropredict

Machine learning, biomarker accuracy and best practices


Histogram-weighted networks

Neuroimaging Quality Control

niQC Overview

niQC Tools and Informatics

Related niQC lectures on the course page

Data Science