[HTML][HTML] Large-scale brain functional network integration for discrimination of autism using a 3-D deep learning model
M Yang, M Cao, Y Chen, Y Chen, G Fan… - Frontiers in human …, 2021 - frontiersin.org
Goal Brain functional networks (BFNs) constructed using resting-state functional magnetic
resonance imaging (fMRI) have proven to be an effective way to understand aberrant …
resonance imaging (fMRI) have proven to be an effective way to understand aberrant …
Functional connectivity patterns of autism spectrum disorder identified by deep feature learning
H Choi - arXiv preprint arXiv:1707.07932, 2017 - arxiv.org
Autism spectrum disorder (ASD) is regarded as a brain disease with globally disrupted
neuronal networks. Even though fMRI studies have revealed abnormal functional …
neuronal networks. Even though fMRI studies have revealed abnormal functional …
Artificial neural network inspired by neuroimaging connectivity: application in autism spectrum disorder
Distinguishing the autism spectrum disorder (ASD) from typical control (TC) using resting-
state functional magnetic resonance imaging (rs-fMRI) is very difficult because ASD has …
state functional magnetic resonance imaging (rs-fMRI) is very difficult because ASD has …
A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks
N Qiang, J Gao, Q Dong, J Li, S Zhang, H Liang… - Behavioural Brain …, 2023 - Elsevier
Background It has been recently shown that deep learning models exhibited remarkable
performance of representing functional Magnetic Resonance Imaging (fMRI) data for the …
performance of representing functional Magnetic Resonance Imaging (fMRI) data for the …
Improving diagnosis of autism spectrum disorder and disentangling its heterogeneous functional connectivity patterns using capsule networks
Functional connectivity (FC) analysis is an appealing tool to aid diagnosis and elucidate the
neurophysiological underpinnings of autism spectrum disorder (ASD). Many machine …
neurophysiological underpinnings of autism spectrum disorder (ASD). Many machine …
[HTML][HTML] Diagnosing autism spectrum disorder from brain resting-state functional connectivity patterns using a deep neural network with a novel feature selection …
The whole-brain functional connectivity (FC) pattern obtained from resting-state functional
magnetic resonance imaging data are commonly applied to study neuropsychiatric …
magnetic resonance imaging data are commonly applied to study neuropsychiatric …
A convolutional neural network combined with prototype learning framework for brain functional network classification of autism spectrum disorder
Y Liang, B Liu, H Zhang - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
The application of deep learning methods in brain disease diagnosis is becoming a new
research hotspot. This study constructed brain functional networks based on the functional …
research hotspot. This study constructed brain functional networks based on the functional …
[HTML][HTML] Diagnosis of autism spectrum disorders using multi-level high-order functional networks derived from resting-state functional mri
Functional brain networks derived from resting-state functional magnetic resonance imaging
(rs-fMRI) have been widely used for Autism Spectrum Disorder (ASD) diagnosis. Typically …
(rs-fMRI) have been widely used for Autism Spectrum Disorder (ASD) diagnosis. Typically …
Classification of ASD based on fMRI data with deep learning
L Shao, C Fu, Y You, D Fu - Cognitive Neurodynamics, 2021 - Springer
Autism spectrum disorder (ASD) is a neuro-developmental disorder that affects the social
abilities of patients. Studies have shown that a small number of abnormal functional …
abilities of patients. Studies have shown that a small number of abnormal functional …
[HTML][HTML] Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards
Objectives Autism spectrum disorders (ASD) are diagnosed based on early-manifesting
clinical symptoms, including markedly impaired social communication. We assessed the …
clinical symptoms, including markedly impaired social communication. We assessed the …