Alzheimer's Disease Neuroimaging Initiative

According to our database1, Alzheimer's Disease Neuroimaging Initiative authored at least 57 papers between 2008 and 2021.

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Bibliography

2021
Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses.
Neurocomputing, 2021

A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging.
Expert Syst. J. Knowl. Eng., 2021

2020
Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks.
Pattern Recognit., 2020

Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression.
NeuroImage, 2020

Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data.
NeuroImage, 2020

Cortical surface registration using unsupervised learning.
NeuroImage, 2020

Estimation of connectional brain templates using selective multi-view network normalization.
Medical Image Anal., 2020

Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling.
J. Biomed. Informatics, 2020

Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD.
J. Biomed. Informatics, 2020

Least squares projection twin support vector clustering (LSPTSVC).
Inf. Sci., 2020

Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer 's disease.
Comput. Stat. Data Anal., 2020

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering.
CoRR, 2020

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI.
CoRR, 2020

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis.
CoRR, 2020

Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE).
Biomed. Signal Process. Control., 2020

Bayesian GWAS with Structured and Non-Local Priors.
Bioinform., 2020

Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier.
Artif. Intell. Medicine, 2020

2019
Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease.
NeuroImage, 2019

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.
NeuroImage, 2019

Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning.
NeuroImage, 2019

Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.
Frontiers Comput. Neurosci., 2019

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion.
CoRR, 2019

Communicability disruption in Alzheimer's disease connectivity networks.
J. Complex Networks, 2019

RNN-based longitudinal analysis for diagnosis of Alzheimer's disease.
Comput. Medical Imaging Graph., 2019

Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data.
BMC Bioinform., 2019

Incorporating spatial-anatomical similarity into the VGWAS framework for AD biomarker detection.
Bioinform., 2019

Texture descriptors and voxels for the early diagnosis of Alzheimer's disease.
Artif. Intell. Medicine, 2019

2018
Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data.
PLoS Comput. Biol., 2018

The EADC-ADNI harmonized protocol for hippocampal segmentation: A validation study.
NeuroImage, 2018

Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification.
NeuroImage, 2018

SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data.
NeuroImage, 2018

Multimodal imaging-based therapeutic fingerprints for optimizing personalized interventions: Application to neurodegeneration.
NeuroImage, 2018

A longitudinal model for functional connectivity networks using resting-state fMRI.
NeuroImage, 2018

A comparison of publicly available linear MRI stereotaxic registration techniques.
NeuroImage, 2018

Learning non-linear patch embeddings with neural networks for label fusion.
Medical Image Anal., 2018

Analysis of ordinal longitudinal data under nonignorable missingness and misreporting: An application to Alzheimer's disease study.
J. Multivar. Anal., 2018

Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET.
Int. J. Biomed. Imaging, 2018

Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images.
Frontiers Neuroinformatics, 2018

Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks.
CoRR, 2018

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data.
CoRR, 2018

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling.
CoRR, 2018

Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization.
Complex., 2018

Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks.
Comput. Medical Imaging Graph., 2018

Adaptive fusion of texture-based grading for Alzheimer's disease classification.
Comput. Medical Imaging Graph., 2018

Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI.
Comput. Biol. Medicine, 2018

Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study.
BMC Medical Imaging, 2018

Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Predictive modelling using neuroimaging data in the presence of confounds.
NeuroImage, 2017

FGWAS: Functional genome wide association analysis.
NeuroImage, 2017

Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging.
NeuroImage, 2017

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.
Frontiers Neuroinformatics, 2017

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.
Frontiers Comput. Neurosci., 2017

2010
Voxelwise genome-wide association study (vGWAS).
NeuroImage, 2010

2009
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, 2009

Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition.
NeuroImage, 2009

Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
NeuroImage, 2009

2008
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.
NeuroImage, 2008


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