SF-DisenNet: Self-Supervised Function-Guided Disentanglement for Fine-Tuning-Free Brain Representation.
Neuroimaging AI remains constrained by a model-per-disease paradigm-where separate frameworks are trained for individual disorders-limiting knowledge transfer and direct cross-disorder comparisons. While resting-state fMRI provides a powerful subject-specific functional connectivity (FC) fingerprint, it suffers from lo...