Machine Learning for Neuroimaging: Supervised ML

This lecture includes a description of supervised ML in brain parcellation estimation and behavioral prediction.

Machine Learning for Neuroimaging: Unsupervised ML

This lecture includes a description of unsupervised ML in neuroimaging (clustering, embedding) and evaluating the results and potential issues in neuroimaging data.

YouTube Lecture | Background Info | Slides

YouTube Lecture | Slides

Coursera Course on Probabilistic Graphical Models

Bayes Classifier and Naive Bayes Lecture from Cornell

Probabilistic Machine Learning: An Introduction' by Kevin Murphy

Arslan et al.: 'Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex'.

Vos de Wael et al.: 'BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets'

Complete List of References and Toolboxes Included in the Lecture

AI/ML Week 3 Data Exercise

AI/ML Week 3 Solutions