Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning

Machine learning methodologies have been profoundly researched in the realm of autism spectrum disorder (ASD) diagnosis. Nonetheless, owing to the ambiguity of ASD severity labels and individual differences in ASD severity, current fMRI-based methods for identifying ASD severity still do not achieve...

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Egile Nagusiak:	Junling Du, Shangyu Wang, Rentong Chen, Shaoping Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2025-01-01
Saila:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Gaiak:	Autism spectrum disorder functional magnetic resonance imaging high-level brain functional network label distribution learning
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10821533/
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