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A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction
April 17, 2026 Β· Grace Period Β· + Add venue
Authors
Dingyi Zhang, Ruiying Liu, Yun Wang
arXiv ID
2604.16655
Category
eess.IV: Image & Video Processing
Cross-listed
cs.AI,
cs.CV
Citations
0
Abstract
The accurate quantification of brain age from MRI has emerged as an important biomarker of brain health. However, existing approaches are often restricted to narrow age ranges and single-modality MRI data, limiting their capacity to capture the coordinated macro- and microstructural changes that unfold across the human lifespan. To address these limitations, we developed a multi-modal brain age framework to characterize the integrated evolution of brain morphology and white matter organization. Our model adopts a two-stage architecture, where modalities are processed independently and integrated via late fusion in both stages: first to classify each subject into one of six developmental stages, and then to estimate age within the predicted stage. This design enables a unified and lifespan-spanning assessment of brain maturity across diverse developmental periods.
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