Photo from archive.org
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.•… Click to show full abstract
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.
Keywords:
deep learning;
harmonisation;
learning based;
unlearning dataset;
based unlearning
Journal Title: Neuroimage
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Neuroimage
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!