dGAMLSS: Privacy-Preserving Federated Brain Chart Modeling

TissUnet extends quantitative MRI analysis beyond the brain, segmenting skull bone, subcutaneous fat, and muscle from routine T1-weighted scans across all ages and pathologies, achieving an 89% acceptance rate in healthy and brain tumor cohorts.

Brain growth charts reveal dynamic extra-axial CSF trajectories in clinical pediatric MRI, enabling automated macrocephaly diagnosis and challenging fixed-measurement guidelines.

Regional brain centile scores predict cognitive performance and discriminate Alzheimer's disease from matched controls, extending to frontotemporal lobar degeneration and validating individual-level clinical applicability across neurodegenerative conditions.