Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review

Multisite Autism Spectrum Disorder Classification Using Convolutional Neural Network Classifier and Individual Morphological Brain Networks

(2021) Jingjing Gao et al.   Frontiers in Neuroscience

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data

(2021) Fahad Almuqhim et al.   Frontiers in Computational Neuroscience

Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI

(2021) Matthew J. Leming et al.   Molecular Autism

Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases

(2021) Dalin Yang et al.   Frontiers in Neuroscience

A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI

(2021) Faria Zarin Subah et al.   Applied Sciences-Basel

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

(2021) Mehmet Baygin et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals

(2021) Daksh Maheshwari et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Narrowband Resting-State fNIRS Functional Connectivity in Autism Spectrum Disorder

(2021) Weiting Sun et al.   Frontiers in Human Neuroscience

Brain imaging-based machine learning in autism spectrum disorder: methods and applications

(2021) Ming Xu et al.   JOURNAL OF NEUROSCIENCE METHODS

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

Subject sensitive EEG discrimination with fast reconstructable CNN driven by reinforcement learning: A case study of ASD evaluation

(2021) Heyou Dong et al.   NEUROCOMPUTING

A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG

(2021) Md. Nurul Ahad Tawhid et al.   PLoS One

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

(2021) Fahime Khozeimeh et al.   Scientific Reports

Epileptic Seizures Detection Using Deep Learning Techniques: A Review

(2021) Afshin Shoeibi et al.   International Journal of Environmental Research and Public Health

Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine

(2021) Letizia Squarcina et al.   Brain and Behavior

Evaluating deep learning EEG-based mental stress classification in adolescents with autism for breathing entrainment BCI

(2021) Avirath Sundaresan et al.   Brain Informatics

Hyperspectral Image Classification Based on Deep Attention Graph Convolutional Network

(2021) Jing Bai et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Classification of autism spectrum disorder based on sample entropy of spontaneous functional near infra-red spectroscopy signal

(2020) Lingyu Xu et al.   CLINICAL NEUROPHYSIOLOGY

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

(2020) Ke Niu et al.   COMPLEXITY

Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework

(2020) Wei Li et al.   NEUROCOMPUTING

Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals

(2020) The-Hanh Pham et al.   International Journal of Environmental Research and Public Health

Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network

(2020) Zeinab Sherkatghanad et al.   Frontiers in Neuroscience

Exclusion Criteria Used in Early Behavioral Intervention Studies for Young Children with Autism Spectrum Disorder

(2020) Sahr Yazdani et al.   Brain Sciences

The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data

(2020) Jiannan Kang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI

(2020) Quentin Delannoy et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network

(2020) Hu Lu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks

(2020) Benjamin Thyreau et al.   MEDICAL IMAGE ANALYSIS

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

A review on diagnostic autism spectrum disorder approaches based on the Internet of Things and Machine Learning

(2020) Mehdi Hosseinzadeh et al.   JOURNAL OF SUPERCOMPUTING

Brain MRI analysis using a deep learning based evolutionary approach

(2020) Hossein Shahamat et al.   NEURAL NETWORKS

AIMAFE: Autism spectrum disorder identification with multi-atlas deep feature representation and ensemble learning

(2020) Yufei Wang et al.   JOURNAL OF NEUROSCIENCE METHODS

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

(2020) Leonie Henschel et al.   NEUROIMAGE

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

(2020) Afshin Shoeibi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Effects of Non-invasive Neurostimulation on Autism Spectrum Disorder: A Systematic Review

(2020) Ali Khaleghi et al.   Clinical Psychopharmacology and Neuroscience

A Review of Machine Learning Methods of Feature Selection and Classification for Autism Spectrum Disorder

(2020) Md. Mokhlesur Rahman et al.   Brain Sciences

Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification

(2019) Amirali Kazeminejad et al.   Frontiers in Neuroscience

FuNP (Fusion of Neuroimaging Preprocessing) Pipelines: A Fully Automated Preprocessing Software for Functional Magnetic Resonance Imaging

(2019) Bo-yong Park et al.   Frontiers in Neuroinformatics

Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks

(2019) Sheeba J. Sujit et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Can autism be catered with artificial intelligence-assisted intervention technology? A comprehensive survey

(2019) Muhammad Shoaib Jaliaawala et al.   ARTIFICIAL INTELLIGENCE REVIEW

Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing

(2019) Qingchen Zhang et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Identification and Analysis of Behavioral Phenotypes in Autism Spectrum Disorder via Unsupervised Machine Learning

(2019) Elizabeth Stevens et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks

(2019) Maryam Akhavan Aghdam et al.   JOURNAL OF DIGITAL IMAGING

An Efficient Approach for Detection of Autism Spectrum Disorder Using Electroencephalography Signal

(2019) Tulikapriya Sinha et al.   IETE JOURNAL OF RESEARCH

Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans

(2019) Alessa Hering et al.   International Journal of Computer Assisted Radiology and Surgery

Early Autism Screening: A Comprehensive Review

(2019) Fadi Thabtah et al.   International Journal of Environmental Research and Public Health

Classifying ASD children with LSTM based on raw videos

(2019) Jing Li et al.   NEUROCOMPUTING

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

(2019) Meenakshi Khosla et al.   NEUROIMAGE

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

(2019) Taban Eslami et al.   Frontiers in Neuroinformatics

Prediction in Autism by Deep Learning Short-Time Spontaneous Hemodynamic Fluctuations

(2019) Lingyu Xu et al.   Frontiers in Neuroscience

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

(2019) Navid Ghassemi et al.   Biomedical Signal Processing and Control

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

(2019) Jose Dolz et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A diffusion-weighted imaging tract-based spatial statistics study of autism spectrum disorder in preschool-aged children

(2019) Derek Sayre Andrews et al.   Journal of Neurodevelopmental Disorders

Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy

(2019) Lingyu Xu et al.   JOURNAL OF NEUROSCIENCE METHODS

Generative adversarial network in medical imaging: A review

(2019) Xin Yi et al.   MEDICAL IMAGE ANALYSIS

Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network

(2019) Xue Dong et al.   RADIOTHERAPY AND ONCOLOGY

Electroencephalography (EEG) signal processing for epilepsy and autism spectrum disorder diagnosis

(2018) Sutrisno Ibrahim et al.   Biocybernetics and Biomedical Engineering

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

(2018) Tran Minh Quan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Machine learning in autistic spectrum disorder behavioral research: A review and ways forward

(2018) Fadi Thabtah   Informatics for Health & Social Care

EEG-based multi-feature fusion assessment for autism

(2018) Jiannan Kang et al.   JOURNAL OF CLINICAL NEUROSCIENCE

Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network

(2018) Maryam Akhavan Aghdam et al.   JOURNAL OF DIGITAL IMAGING

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

(2018) Sarah Parisot et al.   MEDICAL IMAGE ANALYSIS

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

Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier

(2018) Yazhou Kong et al.   NEUROCOMPUTING

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

(2018) Nastaran Mohammadian Rad et al.   SIGNAL PROCESSING

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

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

Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI

(2018) Bogdan Alexandru Cociu et al.   IEEE Transactions on Cognitive and Developmental Systems

A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective

(2018) Alex M. Pagnozzi et al.   INTERNATIONAL JOURNAL OF DEVELOPMENTAL NEUROSCIENCE

Autism spectrum disorder

(2018) Catherine Lord et al.   LANCET

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

(2018) Hailong Li et al.   Frontiers in Neuroscience

Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study

(2018) Walter H. L. Pinaya et al.   HUMAN BRAIN MAPPING

Using resting state functional MRI to build a personalized autism diagnosis system

(2018) Omar Dekhil et al.   PLoS One

Improving motor skill acquisition through analogy in children with autism spectrum disorders

(2018) Andy C.Y. Tse et al.   PSYCHOLOGY OF SPORT AND EXERCISE

The Neuro Bureau ADHD-200 Preprocessed repository

(2017) Pierre Bellec et al.   NEUROIMAGE

Screening of autism based on task-free fMRI using graph theoretical approach

(2017) Masoumeh Sadeghi et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

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

3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI

(2017) Liang Zou et al.   IEEE Access

Multimodal Diffusion-MRI and MEG Assessment of Auditory and Language System Development in Autism Spectrum Disorder

(2016) Jeffrey I. Berman et al.   Frontiers in Neuroanatomy

Maturation of auditory neural processes in autism spectrum disorder — A longitudinal MEG study

(2016) Russell G. Port et al.   NeuroImage-Clinical

Transcranial magnetic stimulation in autism spectrum disorder: Challenges, promise, and roadmap for future research

(2015) Lindsay M. Oberman et al.   Autism Research

Machine Learning in Medicine

(2015) R. C. Deo   CIRCULATION

MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

(2015) Ivana Despotović et al.   Computational and Mathematical Methods in Medicine

Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, neurochemical, and white matter correlates

(2015) Lauren E. Libero et al.   CORTEX

National Database for Autism Research (NDAR): Big Data Opportunities for Health Services Research and Health Technology Assessment

(2015) Nalin Payakachat et al.   PHARMACOECONOMICS

Transcranial direct current stimulation for hyperactivity and noncompliance in autistic disorder

(2015) Giordano D’Urso et al.   WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY

A Connectome Computation System for discovery science of brain

(2015) Ting Xu et al.   Science Bulletin

Effect of Anodal Transcranial Direct Current Stimulation on Autism: A Randomized Double-Blind Crossover Trial

(2014) Anuwat Amatachaya et al.   BEHAVIOURAL NEUROLOGY

BOLD matches neuronal activity at the mm scale: A combined 7T fMRI and ECoG study in human sensorimotor cortex

(2014) Jeroen C.W. Siero et al.   NEUROIMAGE

Automated diagnosis of autism: in search of a mathematical marker

(2014) Shreya Bhat et al.   REVIEWS IN THE NEUROSCIENCES

Autism: cause factors, early diagnosis and therapies

(2014) Shreya Bhat et al.   REVIEWS IN THE NEUROSCIENCES

Autism spectrum disorders: an overview on diagnosis and treatment

(2013) Helena Brentani et al.   REVISTA BRASILEIRA DE PSIQUIATRIA

Autism in DSM-5: progress and challenges

(2013) Fred R Volkmar et al.   Molecular Autism

Diffusion Tensor Imaging in Autism Spectrum Disorder: A Review

(2012) Brittany G. Travers et al.   Autism Research

Diagnosis: Redefining autism

(2012) Emily Singer   NATURE

Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis

(2012) V. Popescu et al.   NEUROIMAGE

FreeSurfer

(2012) Bruce Fischl   NEUROIMAGE

A Multisite Study of the Clinical Diagnosis of Different Autism Spectrum Disorders

(2011) Catherine Lord   ARCHIVES OF GENERAL PSYCHIATRY

A whole brain fMRI atlas generated via spatially constrained spectral clustering

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

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE

A Systematic Review of Early Intensive Intervention for Autism Spectrum Disorders

(2011) Z. Warren et al.   PEDIATRICS

Prediction of Individual Brain Maturity Using fMRI

(2010) Nico U. F. Dosenbach et al.   SCIENCE

Computational anatomy with the SPM software

(2009) John Ashburner   MAGNETIC RESONANCE IMAGING

Advances in autism genetics: on the threshold of a new neurobiology

(2008) Brett S. Abrahams et al.   NATURE REVIEWS GENETICS