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Achieving state-of-the-art segmentation performance without task-specific fine-tuning, UniMedSeg unifies disparate paradigms into a single scalable model.
PIME leverages prototype-guided Monte Carlo Tree Search to extract compact, neuroscientifically-validated brain subnetworks predictive of disorder, outperforming standard deep learning approaches in both accuracy and interpretability.
