ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data

Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data

(2019) Milan N. Parikh et al.   Frontiers in Computational Neuroscience

The Diagnosis of Autism Spectrum Disorder Based on the Random Neural Network Cluster

(2018) Xia-an Bi et al.   Frontiers in Human Neuroscience

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

(2018) Sarah Parisot et al.   MEDICAL IMAGE ANALYSIS

A general prediction model for the detection of ADHD and Autism using structural and functional MRI

(2018) Bhaskar Sen et al.   PLoS One

Identification of autism spectrum disorder using deep learning and the ABIDE dataset

(2018) Anibal Sólon Heinsfeld et al.   NeuroImage-Clinical

Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster

(2018) Xia-an Bi et al.   Frontiers in Genetics

A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes

(2018) Hailong Li et al.   Frontiers in Neuroscience

Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach

(2017) Vigneshwaran Subbaraju et al.   MEDICAL IMAGE ANALYSIS

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

(2017) Alexandre Abraham et al.   NEUROIMAGE

Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method

(2017) Xinyu Guo et al.   Frontiers in Neuroscience

Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis

(2017) Yu Zhang et al.   Scientific Reports

Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework

(2016) Wenbo Liu et al.   Autism Research

Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity—A multi-center study

(2016) Heng Chen et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease

(2015) Ali Khazaee et al.   Brain Imaging and Behavior

Resting state functional magnetic resonance imaging and neural network classified autism and control

(2015) Tetsuya Iidaka   CORTEX

Early Identification of Young Children with Autism Spectrum Disorder

(2015) Robert E. Nickel et al.   INDIAN JOURNAL OF PEDIATRICS

Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data

(2015) Gopikrishna Deshpande et al.   IEEE Transactions on Cybernetics

Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards

(2015) Mark Plitt et al.   NeuroImage-Clinical

Functional brain networks and cognitive deficits in Parkinson's disease

(2014) Hugo-Cesar Baggio et al.   HUMAN BRAIN MAPPING

Multisite functional connectivity MRI classification of autism: ABIDE results

(2013) Jared A. Nielsen et al.   Frontiers in Human Neuroscience

Extreme Learning Machine-Based Classification of ADHD Using Brain Structural MRI Data

(2013) Xiaolong Peng et al.   PLoS One

The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives

(2013) Craddock Cameron et al.   Frontiers in Neuroinformatics

Effects of Different Correlation Metrics and Preprocessing Factors on Small-World Brain Functional Networks: A Resting-State Functional MRI Study

(2012) Xia Liang et al.   PLoS One

A whole brain fMRI atlas generated via spatially constrained spectral clustering

(2011) R. Cameron Craddock et al.   HUMAN BRAIN MAPPING

Functional Network Organization of the Human Brain

(2011) Jonathan D. Power et al.   NEURON

The Statistical Analysis of fMRI Data

(2009) Martin A. Lindquist   STATISTICAL SCIENCE