The fMRI preprocessed bold time series data with 122 regions of the Brain using Bootstrap Analysis of Stable Clusters map using Nilearn. This dataset was used in the paper: Alves, Caroline, et al. "Diagnosis of autism spectrum disorder based on functional brain networks and machine learning." (2022).</p
Autism spectrum disorder (ASD) is a neurodevelopmental disorder in which the severity of symptoms va...
Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and neuroscience be...
Includes bibliographical references (pages 29-33).Despite consensus on the neurological nature of au...
Autism spectrum disorder (ASD) is a prevalent and heterogeneous childhood neuro-developmental diseas...
Automatic algorithms for disease diagnosis are being thoroughly researched for use in clinical setti...
Automatic algorithms for disease diagnosis are being thoroughly researched for use in clinical setti...
Developments in magnetic resonance imaging (MRI) provide new non-invasive approach—functional MRI (f...
Machine learning methods have been frequently applied in the field of cognitive neuroscience in the ...
The goal of the present study was to apply deep learning algorithms to identify autism spectrum diso...
While the prevalence of Autism Spectrum Disorder (ASD) is increasing, research continues in an effor...
We designed a modular machine learning program that uses functional magnetic resonance imaging (fMRI...
Autism spectrum disorder (ASD) is a neuro-developmental disorder associated with social impairments,...
Autism spectrum disorder (ASD) is a neuro-developmental disorder associated with social impairments,...
Resting-state functional magnetic resonance imaging (R-fMRI) is dynamic in nature since neural activ...
Autism spectrum disorder (ASD) is a neurodevelopmental disorder in which the severity of symptoms va...
Autism spectrum disorder (ASD) is a neurodevelopmental disorder in which the severity of symptoms va...
Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and neuroscience be...
Includes bibliographical references (pages 29-33).Despite consensus on the neurological nature of au...
Autism spectrum disorder (ASD) is a prevalent and heterogeneous childhood neuro-developmental diseas...
Automatic algorithms for disease diagnosis are being thoroughly researched for use in clinical setti...
Automatic algorithms for disease diagnosis are being thoroughly researched for use in clinical setti...
Developments in magnetic resonance imaging (MRI) provide new non-invasive approach—functional MRI (f...
Machine learning methods have been frequently applied in the field of cognitive neuroscience in the ...
The goal of the present study was to apply deep learning algorithms to identify autism spectrum diso...
While the prevalence of Autism Spectrum Disorder (ASD) is increasing, research continues in an effor...
We designed a modular machine learning program that uses functional magnetic resonance imaging (fMRI...
Autism spectrum disorder (ASD) is a neuro-developmental disorder associated with social impairments,...
Autism spectrum disorder (ASD) is a neuro-developmental disorder associated with social impairments,...
Resting-state functional magnetic resonance imaging (R-fMRI) is dynamic in nature since neural activ...
Autism spectrum disorder (ASD) is a neurodevelopmental disorder in which the severity of symptoms va...
Autism spectrum disorder (ASD) is a neurodevelopmental disorder in which the severity of symptoms va...
Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and neuroscience be...
Includes bibliographical references (pages 29-33).Despite consensus on the neurological nature of au...
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