Published in PLoS One on March 22, 2012
The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception. Alzheimers Dement (2013) 2.32
Random forest-based similarity measures for multi-modal classification of Alzheimer's disease. Neuroimage (2012) 1.71
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis. Neuroimage (2014) 1.36
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification. Neuroimage (2013) 1.27
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis. Neuroimage (2014) 1.13
Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans. Brain Struct Funct (2015) 1.06
Locally linear embedding (LLE) for MRI based Alzheimer's disease classification. Neuroimage (2013) 1.02
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. Neuroinformatics (2015) 1.01
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. Neuroimage (2013) 0.99
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest. Neurobiol Aging (2016) 0.98
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Med Image Anal (2015) 0.92
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. Neuroimage (2016) 0.92
Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification. Brain Imaging Behav (2016) 0.91
Learning to rank atlases for multiple-atlas segmentation. IEEE Trans Med Imaging (2014) 0.89
Domain Transfer Learning for MCI Conversion Prediction. IEEE Trans Biomed Eng (2015) 0.89
Clinical applicability and cutoff values for an unstructured neuropsychological assessment protocol for older adults with low formal education. PLoS One (2013) 0.87
Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification. Hum Brain Mapp (2013) 0.87
A focus on structural brain imaging in the Alzheimer's disease neuroimaging initiative. Biol Psychiatry (2013) 0.86
Subclass-based multi-task learning for Alzheimer's disease diagnosis. Front Aging Neurosci (2014) 0.84
Prognostic classification of mild cognitive impairment and Alzheimer's disease: MRI independent component analysis. Psychiatry Res (2014) 0.84
Prediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET images. Med Phys (2015) 0.83
State-space model with deep learning for functional dynamics estimation in resting-state fMRI. Neuroimage (2016) 0.83
Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis. Neuroinformatics (2014) 0.82
Role of cerebrospinal fluid biomarkers in clinical trials for Alzheimer's disease modifying therapies. Korean J Physiol Pharmacol (2014) 0.81
The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function. Neuroimage (2014) 0.81
Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning. IEEE Trans Med Imaging (2014) 0.81
BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE. Ann Appl Stat (2015) 0.80
Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis. Brain Struct Funct (2015) 0.80
Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals. PLoS One (2014) 0.80
Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease. J Alzheimers Dis (2015) 0.80
Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder. Brain Imaging Behav (2016) 0.80
Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction. Front Aging Neurosci (2014) 0.80
Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease. Sci Rep (2017) 0.79
Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification. PLoS One (2016) 0.78
Latent information in fluency lists predicts functional decline in persons at risk for Alzheimer disease. Cortex (2014) 0.78
COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer's disease. Sci Rep (2016) 0.78
Integrated (18)F-fluorodeoxyglucose positron emission tomography magnetic resonance imaging ((18)F-FDG PET/MRI), a multimodality approach for comprehensive evaluation of dementia patients: A pictorial essay. Indian J Radiol Imaging (2016) 0.77
Sparse multivariate autoregressive modeling for mild cognitive impairment classification. Neuroinformatics (2014) 0.77
Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP Data. J Alzheimers Dis (2015) 0.76
Multimodal manifold-regularized transfer learning for MCI conversion prediction. Brain Imaging Behav (2015) 0.75
Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning. Front Aging Neurosci (2017) 0.75
Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration. Biometrics (2015) 0.75
Prediction and classification of Alzheimer disease based on quantification of MRI deformation. PLoS One (2017) 0.75
Detection of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Longitudinal Brain MRI. Front Neuroinform (2017) 0.75
Identification of potential or preclinical cognitive impairment and the implications of sophisticated screening with biomarkers and cognitive testing: does it really matter? Biomed Res Int (2013) 0.75
Deriving statistical significance maps for support vector regression using medical imaging data. Int Workshop Pattern Recognit Neuroimaging (2013) 0.75
Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans Biomed Eng (2016) 0.75
Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review. PLoS One (2017) 0.75
Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer's disease. Stat Methods Med Res (2017) 0.75
Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease. Stat Med (2017) 0.75
A Systematic Review of Longitudinal Studies Which Measure Alzheimer's Disease Biomarkers. J Alzheimers Dis (2017) 0.75
Fast robust automated brain extraction. Hum Brain Mapp (2002) 41.79
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging (2001) 25.22
A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging (1998) 23.54
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects. Ann Neurol (2009) 14.42
Forecasting the global burden of Alzheimer's disease. Alzheimers Dement (2007) 10.01
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment. Neurology (1999) 9.86
Mild cognitive impairment represents early-stage Alzheimer disease. Arch Neurol (2001) 8.88
CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA (2009) 7.29
Magnetic resonance image tissue classification using a partial volume model. Neuroimage (2001) 5.87
Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage (2011) 5.24
Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database. Neuroimage (2010) 4.28
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. Neuroimage (2008) 3.74
Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population. Neuroimage (2010) 3.58
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. Neuroimage (2011) 3.47
Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment. Neuroreport (2002) 3.31
Hippocampal formation glucose metabolism and volume losses in MCI and AD. Neurobiol Aging (2001) 3.25
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiol Aging (2010) 3.16
Imaging cerebral atrophy: normal ageing to Alzheimer's disease. Lancet (2004) 2.81
Atrophy of the medial occipitotemporal, inferior, and middle temporal gyri in non-demented elderly predict decline to Alzheimer's disease. Neurobiol Aging (2000) 2.80
Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. Brain (2007) 2.72
Specific hippocampal volume reductions in individuals at risk for Alzheimer's disease. Neurobiol Aging (1997) 2.66
Predicting clinical scores from magnetic resonance scans in Alzheimer's disease. Neuroimage (2010) 2.33
CSF biomarkers in prediction of cerebral and clinical change in mild cognitive impairment and Alzheimer's disease. J Neurosci (2010) 2.18
Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index. Brain (2009) 2.05
Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM. Med Image Comput Comput Assist Interv (2005) 2.05
Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping. Neuroimage (2004) 1.90
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. Neuroimage (2006) 1.85
Learning-based deformable registration of MR brain images. IEEE Trans Med Imaging (2006) 1.65
High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables. Neuroimage (2010) 1.60
Longitudinal changes of CSF biomarkers in memory clinic patients. Neurology (2007) 1.57
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features. Neurobiol Aging (2011) 1.55
Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression. Med Image Comput Comput Assist Interv (2011) 1.54
Hippocampal atrophy in normal aging. An association with recent memory impairment. Arch Neurol (1993) 1.49
Longitudinal CSF isoprostane and MRI atrophy in the progression to AD. J Neurol (2007) 1.41
Unaffected family members and schizophrenia patients share brain structure patterns: a high-dimensional pattern classification study. Biol Psychiatry (2007) 1.40
Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data. Neuroimage (2011) 1.38
Relating one-year cognitive change in mild cognitive impairment to baseline MRI features. Neuroimage (2009) 1.34
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels. IEEE Trans Med Imaging (2004) 1.22
Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis. Radiology (2011) 1.13
Increasing power to predict mild cognitive impairment conversion to Alzheimer's disease using hippocampal atrophy rate and statistical shape models. Med Image Comput Comput Assist Interv (2010) 1.05
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects. Ann Neurol (2009) 14.42
Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease. Nat Genet (2011) 9.23
Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease. Brain (2009) 7.20
Episodic memory loss is related to hippocampal-mediated beta-amyloid deposition in elderly subjects. Brain (2008) 6.29
Comparing predictors of conversion and decline in mild cognitive impairment. Neurology (2010) 5.69
Diagnosis-independent Alzheimer disease biomarker signature in cognitively normal elderly people. Arch Neurol (2010) 5.53
Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage (2011) 5.24
Protective variant for hippocampal atrophy identified by whole exome sequencing. Ann Neurol (2015) 5.10
MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers. Brain (2009) 4.51
Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer's disease. Brain (2010) 4.39
Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database. Neuroimage (2010) 4.28
Relationships between biomarkers in aging and dementia. Neurology (2009) 4.16
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. Neuroimage (2007) 4.07
Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiol Aging (2009) 3.97
The Alzheimer's disease neuroimaging initiative: progress report and future plans. Alzheimers Dement (2010) 3.85
Identification of common variants associated with human hippocampal and intracranial volumes. Nat Genet (2012) 3.73
COMPARE: classification of morphological patterns using adaptive regional elements. IEEE Trans Med Imaging (2007) 3.72
MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change. Neurology (2009) 3.72
Plasma multianalyte profiling in mild cognitive impairment and Alzheimer disease. Neurology (2012) 3.58
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. Neuroimage (2011) 3.47
Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects. Neuroimage (2008) 3.40
The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core. Alzheimers Dement (2010) 3.30
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. Neuroimage (2010) 3.27
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging. Neurobiol Aging (2006) 3.26
Fast and robust multi-atlas segmentation of brain magnetic resonance images. Neuroimage (2009) 3.13
Morphological classification of brains via high-dimensional shape transformations and machine learning methods. Neuroimage (2004) 3.13
Clinical Core of the Alzheimer's Disease Neuroimaging Initiative: progress and plans. Alzheimers Dement (2010) 3.11
Blood-based protein biomarkers for diagnosis of Alzheimer disease. Arch Neurol (2012) 3.03
Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects. Proc Natl Acad Sci U S A (2009) 2.91
Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment. Radiology (2009) 2.90
Update on the magnetic resonance imaging core of the Alzheimer's disease neuroimaging initiative. Alzheimers Dement (2010) 2.88
Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease. PLoS One (2009) 2.85
Amyloid deposition, hypometabolism, and longitudinal cognitive decline. Ann Neurol (2012) 2.84
Evidence for ordering of Alzheimer disease biomarkers. Arch Neurol (2011) 2.83
MRI and CSF biomarkers in normal, MCI, and AD subjects: diagnostic discrimination and cognitive correlations. Neurology (2009) 2.83
Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Neuroimage (2009) 2.80
Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans. Alzheimers Dement (2010) 2.79
Spatial normalization of diffusion tensor fields. Magn Reson Med (2003) 2.70
Voxelwise genome-wide association study (vGWAS). Neuroimage (2010) 2.69
Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects. Alzheimers Dement (2010) 2.68
Hierarchical active shape models, using the wavelet transform. IEEE Trans Med Imaging (2003) 2.67
Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease. Brain (2009) 2.61
Combining MR imaging, positron-emission tomography, and CSF biomarkers in the diagnosis and prognosis of Alzheimer disease. AJNR Am J Neuroradiol (2010) 2.61
Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities. Arch Gen Psychiatry (2005) 2.59
Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve. Brain (2009) 2.51
Longitudinal change of biomarkers in cognitive decline. Arch Neurol (2011) 2.51
Bias in tensor based morphometry Stat-ROI measures may result in unrealistic power estimates. Neuroimage (2011) 2.50
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. Neuroimage (2009) 2.47
Automatic quality assessment in structural brain magnetic resonance imaging. Magn Reson Med (2009) 2.43
Qualification of the analytical and clinical performance of CSF biomarker analyses in ADNI. Acta Neuropathol (2011) 2.41
3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry. Neuroimage (2008) 2.40
Subregional neuroanatomical change as a biomarker for Alzheimer's disease. Proc Natl Acad Sci U S A (2009) 2.37
Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease. Neuroimage (2010) 2.32
The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception. Alzheimers Dement (2013) 2.32
Multi-modal imaging predicts memory performance in normal aging and cognitive decline. Neurobiol Aging (2008) 2.31
Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls. Neuroimage (2008) 2.30
Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database. Brain (2008) 2.28
Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjects. Neuroimage (2009) 2.28
Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. Hum Brain Mapp (2009) 2.28
Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach. Neuroimage (2010) 2.27
CLASSIC: consistent longitudinal alignment and segmentation for serial image computing. Neuroimage (2005) 2.27
Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. Neuroimage (2008) 2.25
Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine. Acad Radiol (2008) 2.25
Structural MRI biomarkers for preclinical and mild Alzheimer's disease. Hum Brain Mapp (2009) 2.24
Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: an illustration in ADNI 3 T MRI data. Neuroimage (2009) 2.22
Serial MRI and CSF biomarkers in normal aging, MCI, and AD. Neurology (2010) 2.20
Regional rates of neocortical atrophy from normal aging to early Alzheimer disease. Neurology (2009) 2.18
CSF biomarkers in prediction of cerebral and clinical change in mild cognitive impairment and Alzheimer's disease. J Neurosci (2010) 2.18
Effect of apolipoprotein E on biomarkers of amyloid load and neuronal pathology in Alzheimer disease. Ann Neurol (2010) 2.16
Neonatal brain image segmentation in longitudinal MRI studies. Neuroimage (2009) 2.14
Boosting power for clinical trials using classifiers based on multiple biomarkers. Neurobiol Aging (2010) 2.13
A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly. Proc Natl Acad Sci U S A (2010) 2.12
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models. Neuroimage (2012) 2.11
LEAP: learning embeddings for atlas propagation. Neuroimage (2009) 2.09
The Alzheimer's Disease Neuroimaging Initiative: Annual change in biomarkers and clinical outcomes. Alzheimers Dement (2010) 2.09
Infant brain atlases from neonates to 1- and 2-year-olds. PLoS One (2011) 2.08
MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults. Neurology (2011) 2.08
Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM. Med Image Comput Comput Assist Interv (2005) 2.05
Multiscale Adaptive Regression Models for Neuroimaging Data. J R Stat Soc Series B Stat Methodol (2011) 2.04
Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition. Neuroimage (2009) 2.03
Amyloid and APOE ε4 interact to influence short-term decline in preclinical Alzheimer disease. Neurology (2014) 2.03
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. Neuroimage (2009) 1.95
Utility of combinations of biomarkers, cognitive markers, and risk factors to predict conversion from mild cognitive impairment to Alzheimer disease in patients in the Alzheimer's disease neuroimaging initiative. Arch Gen Psychiatry (2011) 1.94
Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative. Arch Neurol (2010) 1.94
Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. Neuroimage (2010) 1.94
Puberty-related influences on brain development. Mol Cell Endocrinol (2006) 1.93
Segmenting CT prostate images using population and patient-specific statistics for radiotherapy. Med Phys (2010) 1.90
Robust deformable-surface-based skull-stripping for large-scale studies. Med Image Comput Comput Assist Interv (2011) 1.88
Genome-wide association study of Alzheimer's disease. Transl Psychiatry (2012) 1.88
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters. Neuroimage (2010) 1.87
Hippocampal atrophy rates and CSF biomarkers in elderly APOE2 normal subjects. Neurology (2010) 1.86
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. Neuroimage (2006) 1.85
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping. Med Image Anal (2006) 1.85
Ensemble sparse classification of Alzheimer's disease. Neuroimage (2012) 1.84
Nonlinear registration of longitudinal images and measurement of change in regions of interest. Med Image Anal (2011) 1.82
Enriched white matter connectivity networks for accurate identification of MCI patients. Neuroimage (2010) 1.79