Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

Highlights• We demonstrate a flexible deep-learning-based harmonisation framework. • Applied to age prediction and segmentation tasks in a range of datasets. • Scanner information is removed, maintaining performance and improving generalisability. • The framework can be used with any feedforward network architecture. • It successfully removes additional confounds and works with varied distributions.