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Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Scientific reports, 2019-02, Vol.9 (1), p.1952, Article 1952

2019

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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images

Scientific reports, 2018-04, Vol.8 (1), p.5697-13, Article 5697

2018

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Random forest prediction of Alzheimer's disease using pairwise selection from time series data

PloS one, 2019-02, Vol.14 (2), p.e0211558

2019

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Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Scientific reports, 2018-03, Vol.8 (1), p.4103-14, Article 4103

2018

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Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Scientific reports, 2019-02, Vol.9 (1), p.2235, Article 2235

2019

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

Frontiers in computational neuroscience, 2019-10, Vol.13, p.72-72

2019

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A concise and persistent feature to study brain resting‐state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative

Human brain mapping, 2019-03, Vol.40 (4), p.1062-1081

2019

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Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Scientific reports, 2017-01, Vol.7 (1), p.39880-39880, Article 39880

2017

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Associations between neuropsychiatric symptoms of affective and vegetative domains and brain morphology in aging people with mild cognitive impairment and Alzheimer's disease

International journal of geriatric psychiatry, 2023-06, Vol.38 (6), p.e5952-n/a

2023

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Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Scientific reports, 2017-03, Vol.7 (1), p.44272, Article 44272

2017

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Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer's Disease

Frontiers in neuroscience, 2019-01, Vol.12, p.1045-1045

2019

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Accuracy and generalization capability of an automatic method for the detection of typical brain hypometabolism in prodromal Alzheimer disease

European journal of nuclear medicine and molecular imaging, 2019-02, Vol.46 (2), p.334-347

2019

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Performing Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion

Frontiers in neuroscience, 2019-07, Vol.13, p.642-642

2019

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New Perspective for Non-invasive Brain Stimulation Site Selection in Mild Cognitive Impairment: Based on Meta- and Functional Connectivity Analyses

Frontiers in aging neuroscience, 2019-08, Vol.11, p.228-228

2019

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A δ Homolog for Dementia Case Finding with Replication in the Alzheimer's Disease Neuroimaging Initiative

Journal of Alzheimer's disease, 2019-01, Vol.67 (1), p.67-79

2019

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Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features

Scientific reports, 2017-08, Vol.7 (1), p.8137-14, Article 8137

2017

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Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative

Frontiers in aging neuroscience, 2017-03, Vol.9, p.46

2017

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A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease

Scientific reports, 2016-06, Vol.6 (1), p.26712-26712, Article 26712

2016

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The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum

Scientific reports, 2016-04, Vol.6 (1), p.24480-24480, Article 24480

2016

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The Influence of Cerebrospinal Fluid Abnormalities and APOE 4 on PHF-Tau Protein: Evidence From Voxel Analysis and Graph Theory

Frontiers in aging neuroscience, 2019-08, Vol.11, p.208-208

2019

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Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease

Frontiers in neuroinformatics, 2017-03, Vol.11, p.19-19

2017

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Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images

Frontiers in aging neuroscience, 2017-09, Vol.9, p.293-293

2017

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Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images

Random forest prediction of Alzheimer's disease using pairwise selection from time series data

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

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

A concise and persistent feature to study brain resting‐state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Associations between neuropsychiatric symptoms of affective and vegetative domains and brain morphology in aging people with mild cognitive impairment and Alzheimer's disease

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer's Disease

Accuracy and generalization capability of an automatic method for the detection of typical brain hypometabolism in prodromal Alzheimer disease

Performing Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion

New Perspective for Non-invasive Brain Stimulation Site Selection in Mild Cognitive Impairment: Based on Meta- and Functional Connectivity Analyses

A δ Homolog for Dementia Case Finding with Replication in the Alzheimer's Disease Neuroimaging Initiative

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features

Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative

A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease

The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum

The Influence of Cerebrospinal Fluid Abnormalities and APOE 4 on PHF-Tau Protein: Evidence From Voxel Analysis and Graph Theory

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease

Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images

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