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EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD


Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis.


Deep learning model reveals potential risk genes for ADHD, especially Ephrin receptor gene EPHA5.



Deep Spatio-Temporal Representation and Ensemble Classification for Attention Deficit/Hyperactivity Disorder



Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.



fMRI Feature Extraction Model for ADHD Classification Using Convolutional Neural Network



ADHD and the power of generalization: exploring the faces of reification



Identifying ADHD Individuals From Resting-State Functional Connectivity Using Subspace Clustering and Binary Hypothesis Testing.


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Adhd Classification Adhd 분류


Adhd Classification Adhd 분류
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