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An explainable attention-based multimodal MRI framework for Parkinson’s disease classification: a pilot feasibility and internal validation study

2026-06-05

Abstract excerpt

<title>Abstract</title> <p>Background Early diagnosis of Parkinson’s disease (PD) is challenging due to clinical heterogeneity and subtle MRI changes. This study explored the feasibility of an attention-enhanced hybrid deep learning (DL) framework integrating structural MRI, neuromelanin-sensitive MRI (NM-MRI), and arterial spin labeling (ASL) perfusion to diagnose PD. Methods In this retrospective study, 54 pa...

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Literature Corpus work: dcc91e2a-69a6-56c4-a4b6-0f9c028b7b98
DOI: 10.21203/rs.3.rs-9570147/v1

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