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Brain network analysis is essential for diagnosing and intervention forAlzheimer's disease (AD). However, previous research relied primarily onspecific time-consuming and subjective toolkits. Only few tools can obtain thestructural brain networks from brain diffusion tensor images (DTI). In thispaper, we propose a diffusion based end-to-end brain network generative modelBrain Diffuser that directly shapes the structural brain networks from DTI.Compared to existing toolkits, Brain Diffuser exploits more structuralconnectivity features and disease-related information by analyzing disparitiesin structural brain networks across subjects. For the case of Alzheimer'sdisease, the proposed model performs better than the results from existingtoolkits on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline