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cs.LG2025
A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis
Xinglin Zhao, Yanwen Wang, Xiaobo Liu +3
Computer-aided diagnosis (CAD) systems play a crucial role in analyzing neuroimaging data for neurological and psychiatric disorders. However, small-sample studies suffer from low…
cs.LG2025
Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis
Xin Wen, Shijie Guo, Wenbo Ning +4
Neuro-developmental disorders are manifested as dysfunctions in cognition, communication, behaviour and adaptability, and deep learning-based computer-aided diagnosis (CAD) can all…
cs.LG2025
A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification
Xin Wen, Shijie Guo, Wenbo Ning +6
In open data sets of functional magnetic resonance imaging (fMRI), the heterogeneity of the data is typically attributed to a combination of factors, including differences in scann…