Medical Imaging

MRI Studies of Learning in Neurological Disorders

Machine learning on MRI to study learning abilities in neurological disorders

Using brain MRI and machine learning to study how neurological disorders relate to the way people learn.

The problem

Learning difficulties in neurological disorders are hard to measure objectively, and the links between brain structure and learning are not obvious from the scans alone.

The approach

Machine-learning analysis of MRI data within studies that pair imaging with measures of learning ability.

The outcome

Imaging-based insight into how differences in the brain relate to learning in neurological disorders.

In detail

Applied machine learning to MRI data in studies investigating learning abilities in people with neurological disorders, using imaging-derived information to explore how differences in the brain relate to how people learn.

Built with

• Medical Imaging
• MRI
• Neuroimaging
• Machine Learning

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Next project: NextPhase: Post-Market Surveillance for ML Models

By Kanishka Ranaweera, PhD, Machine Learning Engineer in Melbourne, Victoria, Australia. hello@kanishkabuilt.me