Article

Biomarker fidelity score: A quantitative framework for individual-level validation of explainability methods in 3D Alzheimer’s disease MRI classification

2026-08-20

Abstract excerpt

Explainability methods applied to deep learning models for Alzheimer’s disease neuroimaging produce attribution maps that vary substantially across methods and architectures, yet no validated quantitative framework exists for determining which method most faithfully localises attribution signal within established AD neuroimaging biomarker anatomy at the individual subject level. Existing validation approaches rely...

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Literature Corpus work: fd65af10-0e1a-5069-b759-f6d2126bb4aa
DOI: 10.64898/2026.08.15.744687

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