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Enhancing Brain Age Estimation Under Uncertainty: A Spectral-normalized Neural Gaussian Process Approach Utilizing 2.5D Slicing

2025-02-27

Abstract excerpt

Brain age gap, the difference between estimated brain age and chronological age via magnetic resonance imaging, has emerged as a pivotal biomarker in the detection of brain abnormalities. While deep learning is accurate in estimating brain age, the absence of uncertainty estimation may pose risks in clinical use. Moreover, current 3D brain age models are intricate, and using 2D slices hinders comprehensive dimensi...

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Literature Corpus work
9c932e86-f96f-56d3-8cc5-cfbbd408e0ab
DOI
10.1101/2025.02.26.25322983
Open publication

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Enhancing Brain Age Estimation Under Uncertainty: A Spectral-normalized Neural Gaussian Process Approach Utilizing 2.5D SlicingDOI 10.1101/2025.02.26.25322983
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