2 papers
eess.IV2022
Comparative study of machine learning and deep learning methods on ASD classification
Ramchandra Rimal, Mitchell Brannon, Yingxin Wang +1
The autism dataset is studied to identify the differences between autistic and healthy groups. For this, the resting-state Functional Magnetic Resonance Imaging (rs-fMRI) data of t…
q-bio.NC2021
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning
Xin Yang, Ning Zhang, Donglin Wang
The objective of this study is to derive functional networks for the autism spectrum disorder (ASD) population using the group ICA and dictionary learning model together and to cla…