Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal

Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal

Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. While deep learning models offer superior performance through their non-linear ca...

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Bibliographic Details
Main Authors: Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Brain Sciences
Subjects:
interpretability
explainability
schizophrenia
fMRI
pretraining
self-supervised
Online Access:https://www.mdpi.com/2076-3425/15/1/60
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