Biomedical Research Imaging Center
Yes
University of North Carolina at Chapel Hill
NITRC
Unsupervised Cross-Domain Functional MRI Adaptation
Yes
This unsupervised functional MRI adaptation tool (called UFA-Net) is designed to model spatio-temporal fMRI patterns of labeled source and unlabeled target samples via an attention-guided graph convolution module, and also leverage a maximum mean discrepancy constrained module for unsupervised cross-site feature alignment between two domains. This facilitates unsupervised functional MRI adaptation/harmonization for multi-site research.
Unsupervised Cross-Domain Functional MRI Adaptation
MR, Computational Neuroscience, Bipolar Disorder
http://www.nitrc.org/projects/ufa-net/