Alzheimer's Disease Neuroimaging Initiative
According to our database1,
Alzheimer's Disease Neuroimaging Initiative
authored at least 110 papers
between 2008 and 2024.
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Bibliography
2024
TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records.
CoRR, 2024
2023
Graph neural network based unsupervised influential sample selection for brain multigraph population fusion.
Comput. Medical Imaging Graph., September, 2023
Enhanced brain efficiency network by integrating the new causality with fMRI and its application for Alzheimer's Disease study.
Biomed. Signal Process. Control., September, 2023
SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer's disease.
Biomed. Signal Process. Control., September, 2023
The Objective Dementia Severity Scale Based on MRI with Contrastive Learning: A Whole Brain Neuroimaging Perspective.
Sensors, August, 2023
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
IEEE Trans. Biomed. Eng., March, 2023
MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling.
NeuroImage, March, 2023
A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification.
Sensors, February, 2023
Neural Networks, February, 2023
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks.
Medical Image Anal., 2023
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis.
Medical Image Anal., 2023
Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images.
Expert Syst. Appl., 2023
Eng. Appl. Artif. Intell., 2023
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models.
CoRR, 2023
Template-based graph registration network for boosting the diagnosis of brain connectivity disorders.
Comput. Medical Imaging Graph., 2023
Classification of cognitively normal controls, mild cognitive impairment and Alzheimer's disease using transfer learning approach.
Biomed. Signal Process. Control., 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Quantifying the reproducibility of graph neural networks using multigraph data representation.
Neural Networks, 2022
Development of high quality T<sub>1</sub>-weighted and diffusion tensor templates of the older adult brain in a common space.
NeuroImage, 2022
NeuroImage, 2022
Development and evaluation of a high resolution 0.5mm isotropic T1-weighted template of the older adult brain.
NeuroImage, 2022
Medical Image Anal., 2022
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis.
Medical Image Anal., 2022
Knowl. Based Syst., 2022
A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer's diagnosis.
Expert Syst. Appl., 2022
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis.
CoRR, 2022
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.
CoRR, 2022
Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image.
Comput. Medical Imaging Graph., 2022
Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data.
Comput. Biol. Chem., 2022
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol.
Sensors, 2021
Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities.
PLoS Comput. Biol., 2021
Neural Networks, 2021
Permutation-based inference for spatially localized signals in longitudinal MRI data.
NeuroImage, 2021
A unified framework for personalized regions selection and functional relation modeling for early MCI identification.
NeuroImage, 2021
Translating amyloid PET of different radiotracers by a deep generative model for interchangeability.
NeuroImage, 2021
Deep recurrent model for individualized prediction of Alzheimer's disease progression.
NeuroImage, 2021
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain.
NeuroImage, 2021
Bloch modelling enables robust T2 mapping using retrospective proton density and T2-weighted images from different vendors and sites.
NeuroImage, 2021
Medical Image Anal., 2021
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis.
Medical Image Anal., 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
Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot.
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
Testing conditional mean through regression model sequence using Yanai's generalized coefficient of determination.
Comput. Stat. Data Anal., 2021
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability.
CoRR, 2021
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease.
Comput. Medical Imaging Graph., 2021
3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data.
Comput. Biol. Medicine, 2021
Fuzzy least squares projection twin support vector machines for class imbalance learning.
Appl. Soft Comput., 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks.
Pattern Recognit., 2020
PLoS Comput. Biol., 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
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
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
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
Identifying Glucose Metabolism Decreased Brain Regions by Independent Component Analysis and Statistical Parametric Mapping to Understand the Aging Processing.
J. Medical Imaging Health Informatics, 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
J. Complex Networks, 2019
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
Artif. Intell. Medicine, 2019
2018
Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data.
PLoS Comput. Biol., 2018
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
NeuroImage, 2018
NeuroImage, 2018
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
Comput. Medical Imaging Graph., 2018
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
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
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