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Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning
Structural magnetic resonance imaging (sMRI) provides accurate estimates of the brain's structural organization and learning invariant brain representations from sMRI is an enduring issue in neuroscience.
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
In this work, we propose a connectional style contextual representation learning model (CS-CRL) to capture the intrinsic pattern of the brain, used for multiple brain disease diagnosis.
An EEG-based approach for Parkinson's disease diagnosis using Capsule network
However, the cause and mechanism of PD are not clear, and no systematic early diagnosis and treatment of PD have been established.
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