Article

Influence-driven Sample Selection for Functional Brain Network Classification: Application to Autism Diagnosis

2025-08-06

Abstract excerpt

<title>Abstract</title> <p>The proliferation of non-invasive neuroimaging datasets acquired from different modalities has driven advancements in machine learning models for diagnosing brain disorders. While prior studies have primarily focused on feature engineering and model architecture improvements, they often neglect the impact of low-quality samples in training datasets, which can significantly hinder diagno...

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Literature Corpus work: 46165b7d-5b3f-578f-bb9f-49756da5a31c
DOI: 10.21203/rs.3.rs-7152649/v1

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