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/