A semi-supervised autoencoder for autism disease diagnosis

ESA☆: A generic framework for semi-supervised inductive learning

(2021) Shuyi Yang et al.   NEUROCOMPUTING

A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer’s disease

(2020) Gerard Martí-Juan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Machine learning in resting-state fMRI analysis

(2019) Meenakshi Khosla et al.   MAGNETIC RESONANCE IMAGING

Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex

(2019) Kuan Han et al.   NEUROIMAGE

Applications of Deep Learning to Neuro-Imaging Techniques

(2019) Guangming Zhu et al.   Frontiers in Neurology

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

(2019) Taban Eslami et al.   Frontiers in Neuroinformatics

Transfer learning of deep neural network representations for fMRI decoding

(2019) Michele Svanera et al.   JOURNAL OF NEUROSCIENCE METHODS

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

(2018) Yazhou Kong et al.   NEUROCOMPUTING

Semisupervised Autoencoders for Speech Emotion Recognition

(2018) Jun Deng et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

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

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

Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI

(2018) Ling-Li Zeng et al.   EBioMedicine

A Review of the Autoencoder and Its Variants: A Comparative Perspective from Target Recognition in Synthetic-Aperture Radar Images

(2018) Ganggang Dong et al.   IEEE Geoscience and Remote Sensing Magazine

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

(2018) Omar Dekhil et al.   PLoS One

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

(2017) Ronghui Ju et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

Premature mortality in autism spectrum disorder

(2016) Tatja Hirvikoski et al.   BRITISH JOURNAL OF PSYCHIATRY

Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia

(2016) Junghoe Kim et al.   NEUROIMAGE

Deep learning for neuroimaging: a validation study

(2014) Sergey M. Plis et al.   Frontiers in Neuroscience

Multisite functional connectivity MRI classification of autism: ABIDE results

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

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

(2013) Craddock Cameron et al.   Frontiers in Neuroinformatics

The future of FMRI connectivity

(2012) Stephen M. Smith   NEUROIMAGE

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

Functional Network Organization of the Human Brain

(2011) Jonathan D. Power et al.   NEURON

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

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

Resting-state functional connectivity in neuropsychiatric disorders

(2009) Michael Greicius   CURRENT OPINION IN NEUROLOGY

Disease state prediction from resting state functional connectivity

(2009) R. Cameron Craddock et al.   MAGNETIC RESONANCE IN MEDICINE

Complex brain networks: graph theoretical analysis of structural and functional systems

(2009) Ed Bullmore et al.   NATURE REVIEWS NEUROSCIENCE