CNNG: A Convolutional Neural Networks With Gated Recurrent Units for Autism Spectrum Disorder Classification

Identify abnormal functional connectivity of resting state networks in Autism spectrum disorder and apply to machine learning-based classification

(2021) Jia-Wei Sun et al.   BRAIN RESEARCH

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

(2021) Jinlong Hu et al.   BMC BIOINFORMATICS

WTRPNet: An Explainable Graph Feature Convolutional Neural Network for Epileptic EEG Classification

(2021) Qi Xin et al.   ACM Transactions on Multimedia Computing Communications and Applications

Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging

(2021) Shuaiqi Liu et al.   Biomedical Signal Processing and Control

Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data

(2020) Ke Niu et al.   COMPLEXITY

Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network

(2020) Zeinab Sherkatghanad et al.   Frontiers in Neuroscience

Attentional Connectivity-based Prediction of Autism Using Heterogeneous rs-fMRI Data from CC200 Atlas

(2020) Yaya Liu et al.   Experimental Neurobiology

Graph Fourier Transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging

(2020) Abdelbasset Brahim et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks

(2020) Feng Zhao et al.   Frontiers in Neuroscience

Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks

(2020) Rajat Mani Thomas et al.   Frontiers in Psychiatry

Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework

(2020) N. Chaitra et al.   Biomedical Signal Processing and Control

Multimodal Medical Image Fusion Using Rolling Guidance Filter with CNN and Nuclear Norm Minimization

(2020) Shuaiqi Liu et al.   Current Medical Imaging Reviews

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

(2020) Xiaoxiao Li et al.   MEDICAL IMAGE ANALYSIS

Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction

(2020) Hao Jiang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data

(2020) Manuel Graña et al.   International Journal of Neural Systems

Real‐time presurgical resting‐state fMRI in patients with brain tumors: Quality control and comparison with task‐fMRI and intraoperative mapping

(2019) Kishore Vakamudi et al.   HUMAN BRAIN MAPPING

Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction

(2019) Meenakshi Khosla et al.   NEUROIMAGE

Diffusion Tensor Imaging Denoising Based on Riemannian Geometric Framework and Sparse Bayesian Learning

(2019) Shuaiqi Liu et al.   Journal of Medical Imaging and Health Informatics

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

(2019) Taban Eslami et al.   Frontiers in Neuroinformatics

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation

(2019) Mingliang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SAE-based classification of school-aged children with autism spectrum disorders using functional magnetic resonance imaging

(2018) Zhiyong Xiao et al.   MULTIMEDIA TOOLS AND APPLICATIONS

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

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

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

(2017) Alexandre Abraham et al.   NEUROIMAGE

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

(2015) Mark Plitt et al.   NeuroImage-Clinical

Exploring the brain network: A review on resting-state fMRI functional connectivity

(2010) Martijn P. van den Heuvel et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

Magnetic Resonance Imaging Techniques: fMRI, DWI, and PWI

(2008) Samantha Holdsworth et al.   SEMINARS IN NEUROLOGY