Analysis of Alzheimer’s Disease Based on the Random Neural Network Cluster in fMRI

Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease

(2018) Xia-an Bi et al.   PLoS One

Early identification of MCI converting to AD: a FDG PET study

(2017) Marco Pagani et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Alzheimer disease classification using KPCA, LDA, and multi-kernel learning SVM

(2017) Saruar Alam et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Slowing of Hippocampal Activity Correlates with Cognitive Decline in Early Onset Alzheimer’s Disease. An MEG Study with Virtual Electrodes

(2016) Marjolein M. A. Engels et al.   Frontiers in Human Neuroscience

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

(2016) Marios Anthimopoulos et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

(2016) Andrés Ortiz et al.   International Journal of Neural Systems

State-space model with deep learning for functional dynamics estimation in resting-state fMRI

(2016) Heung-Il Suk et al.   NEUROIMAGE

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

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

A Comparative Study on Parkinson's Disease Diagnosis Using Neural Networks and Artificial Immune System

(2016) Orhan Er et al.   Journal of Medical Imaging and Health Informatics

(99M)TC-HMPAO spect perfusion imaging predicts Alzheimer’s disease cerebrospinal fluid biomarker status

(2015) Angus Prosser et al.   Alzheimers & Dementia

Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study

(2015) Marjolein MA Engels et al.   BMC Neurology

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

Identifying patients with Alzheimer’s disease using resting-state fMRI and graph theory

(2015) Ali Khazaee et al.   CLINICAL NEUROPHYSIOLOGY

Effective artifact removal in resting state fMRI data improves detection of DMN functional connectivity alteration in Alzheimer's disease

(2015) Ludovica Griffanti et al.   Frontiers in Human Neuroscience

Dimension Reduction Using Spatial and Spectral Regularized Local Discriminant Embedding for Hyperspectral Image Classification

(2015) Yicong Zhou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Computer-Aided Diagnosis of Parkinson’s Disease Using Enhanced Probabilistic Neural Network

(2015) Thomas J. Hirschauer et al.   JOURNAL OF MEDICAL SYSTEMS

Reconsidering harbingers of dementia: progression of parietal lobe white matter hyperintensities predicts Alzheimer's disease incidence

(2015) Adam M. Brickman et al.   NEUROBIOLOGY OF AGING

Gaussian process classification of Alzheimer's disease and mild cognitive impairment from resting-state fMRI

(2015) Edward Challis et al.   NEUROIMAGE

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

(2015) Elaheh Moradi et al.   NEUROIMAGE

Implementation of a new parcellation of the orbitofrontal cortex in the automated anatomical labeling atlas

(2015) Edmund T. Rolls et al.   NEUROIMAGE

Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning

(2015) Yudong Zhang et al.   Frontiers in Computational Neuroscience

Participation in cognitively-stimulating activities is associated with brain structure and cognitive function in preclinical Alzheimer’s disease

(2014) Stephanie A. Schultz et al.   Brain Imaging and Behavior

Non-invasive brain stimulation of the right inferior frontal gyrus may improve attention in early Alzheimer's disease: A pilot study

(2014) Ilona Eliasova et al.   JOURNAL OF THE NEUROLOGICAL SCIENCES

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

(2014) Heung-Il Suk et al.   NEUROIMAGE

CLASSIFICATION OF ALZHEIMER DISEASE BASED ON STRUCTURAL MAGNETIC RESONANCE IMAGING BY KERNEL SUPPORT VECTOR MACHINE DECISION TREE

(2014) Yudong Zhang et al.   Progress in Electromagnetics Research-PIER

Dimensionality reduction of medical big data using neural-fuzzy classifier

(2014) Ahmad Taher Azar et al.   SOFT COMPUTING

Idiopathic normal-pressure hydrocephalus, cortical thinning, and the cerebrospinal fluid tap test

(2013) Kyunghun Kang et al.   JOURNAL OF THE NEUROLOGICAL SCIENCES

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease

(2013) Andrés Ortiz et al.   PATTERN RECOGNITION LETTERS

Interhemispheric Functional Connectivity and Its Relationships with Clinical Characteristics in Major Depressive Disorder: A Resting State fMRI Study

(2013) Li Wang et al.   PLoS One

Disruption of functional organization within the primary motor cortex in children with autism

(2012) Mary Beth Nebel et al.   HUMAN BRAIN MAPPING

Resting state fMRI in Alzheimer's disease: beyond the default mode network

(2011) Federica Agosta et al.   NEUROBIOLOGY OF AGING

Resting-state fMRI changes in Alzheimer's disease and mild cognitive impairment

(2011) Maja A.A. Binnewijzend et al.   NEUROBIOLOGY OF AGING

Dimensionality reduction of fMRI time series data using locally linear embedding

(2010) Peter Mannfolk et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI

(2010) Masaya Misaki et al.   NEUROIMAGE