Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

Multivariate Data Analysis and Machine Learning in Alzheimer's Disease with a Focus on Structural Magnetic Resonance Imaging

(2018) Farshad Falahati et al.   JOURNAL OF ALZHEIMERS DISEASE

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

(2017) Alexandre Abraham et al.   NEUROIMAGE

Statistical power and prediction accuracy in multisite resting-state fMRI connectivity

(2017) Christian Dansereau et al.   NEUROIMAGE

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

(2017) Saima Rathore et al.   NEUROIMAGE

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

DTI measurements for Alzheimer’s classification

(2017) Tommaso Maggipinto et al.   PHYSICS IN MEDICINE AND BIOLOGY

MRI-Based Classification Models in Prediction of Mild Cognitive Impairment and Dementia in Late-Life Depression

(2017) Aleksandra K. Lebedeva et al.   Frontiers in Aging Neuroscience

Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients

(2017) Seong-Jin Son et al.   PLoS One

The corticospinal tract profile in amyotrophic lateral sclerosis

(2016) Alessia Sarica et al.   HUMAN BRAIN MAPPING

Multimodal Classification of Mild Cognitive Impairment Based on Partial Least Squares

(2016) Pingyue Wang et al.   JOURNAL OF ALZHEIMERS DISEASE

Prediction of Incipient Alzheimer’s Disease Dementia in Patients with Mild Cognitive Impairment

(2016) Babak A. Ardekani et al.   JOURNAL OF ALZHEIMERS DISEASE

The course of depression in late life as measured by the Montgomery and Asberg Depression Rating Scale in an observational study of hospitalized patients

(2015) Tom Borza et al.   BMC Psychiatry

Ensemble Merit Merge Feature Selection for Enhanced Multinomial Classification in Alzheimer’s Dementia

(2015) T. R. Sivapriya et al.   Computational and Mathematical Methods in Medicine

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

(2015) Elaheh Moradi et al.   NEUROIMAGE

Diffusion tensor imaging in Alzheimer's disease: insights into the limbic-diencephalic network and methodological considerations

(2014) Julio Acosta-Cabronero et al.   Frontiers in Aging Neuroscience

Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness

(2014) A.V. Lebedev et al.   NeuroImage-Clinical

Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia

(2013) Paula T. Trzepacz et al.   NEUROBIOLOGY OF AGING

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease

(2012) Katherine R. Gray et al.   NEUROIMAGE

Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers

(2012) Daoqiang Zhang et al.   PLoS One

Comparison of Brief Cognitive Tests and CSF Biomarkers in Predicting Alzheimer’s Disease in Mild Cognitive Impairment: Six-Year Follow-Up Study

(2012) Sebastian Palmqvist et al.   PLoS One

AUC-RF: A New Strategy for Genomic Profiling with Random Forest

(2011) M. Luz Calle et al.   HUMAN HEREDITY

The use of classification trees for bioinformatics

(2011) Xiang Chen et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

The clinical use of structural MRI in Alzheimer disease

(2010) Giovanni B. Frisoni et al.   Nature Reviews Neurology

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

(2009) Bjoern H Menze et al.   BMC BIOINFORMATICS

Appearance modeling of 11C PiB PET images: Characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging

(2008) Jurgen Fripp et al.   NEUROIMAGE