Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement

Evaluating neurological impairments post-stroke is essential for assessing treatment efficacy and managing subsequent disabilities. Conventional clinical assessment methods depend largely on clinicians’ visual and physical evaluations, resulting in coarse rating systems that frequently mi...

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Bibliographic Details

Published in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Main Authors:	Faranak Akbarifar, Sean P. Dukelow, Albert Jin, Parvin Mousavi, Stephen H. Scott
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Stroke assessment deep learning Kinarm transient ischemic attack uncertainty estimation
Online Access:	https://ieeexplore.ieee.org/document/10845886/