Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks

NeuroImage Clinical ◽

10.1016/j.nicl.2018.101645 ◽

2019 ◽

Vol 21 ◽

pp. 101645 ◽

Cited By ~ 49

Author(s):

Silvia Basaia ◽

Federica Agosta ◽

Luca Wagner ◽

Elisa Canu ◽

Giuseppe Magnani ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Neural Networks ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Deep Neural Networks ◽

Automated Classification

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Different multivariate techniques for automated classification of MRI data in Alzheimer’s disease and mild cognitive impairment

Psychiatry Research Neuroimaging ◽

10.1016/j.pscychresns.2012.11.005 ◽

2013 ◽

Vol 212 (2) ◽

pp. 89-98 ◽

Cited By ~ 60

Author(s):

Carlos Aguilar ◽

Eric Westman ◽

J-Sebastian Muehlboeck ◽

Patrizia Mecocci ◽

Bruno Vellas ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Multivariate Techniques ◽

Automated Classification

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Classification of subjects of Mild Cognitive Impairment and Alzheimer’s Disease through Neuroimaging modalities and Convolutional Neural Networks

2020 8th International Conference on Information and Communication Technology (ICoICT) ◽

10.1109/icoict49345.2020.9166286 ◽

2020 ◽

Author(s):

Ahsan Bin Tufail ◽

Yongkui Ma ◽

Qiu-Na Zhang

Keyword(s):

Alzheimer’S Disease ◽

Neural Networks ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Convolutional Neural Networks

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Classification of Alzheimer's disease and mild cognitive impairment by pattern recognition of EEG power and coherence

2010 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2010.5495193 ◽

2010 ◽

Cited By ~ 8

Author(s):

Kwaku Akrofi ◽

Ranadip Pal ◽

Mary C. Baker ◽

Brian S. Nutter ◽

Randolph W. Schiffer

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Pattern Recognition ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Eeg Power

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Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Normal Based on Neuropsychological Data via Supervised Learning

TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON) ◽

10.1109/tencon.2019.8929443 ◽

2019 ◽

Author(s):

Gwo Giun Lee ◽

Po-Wei Huang ◽

Yi-Ru Xie ◽

Ming-Chyi Pai

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Supervised Learning ◽

Cognitively Normal

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Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

Frontiers in Neuroscience ◽

10.3389/fnins.2018.00777 ◽

2018 ◽

Vol 12 ◽

Cited By ~ 53

Author(s):

Weiming Lin ◽

Tong Tong ◽

Qinquan Gao ◽

Di Guo ◽

Xiaofeng Du ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Neural Networks ◽

Alzheimer's Disease ◽

Image Analysis ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Convolutional Neural Networks ◽

Disease Prediction ◽

Mri Image

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Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images

Frontiers in Neuroscience ◽

10.3389/fnins.2017.00056 ◽

2017 ◽

Vol 11 ◽

Cited By ~ 17

Author(s):

Ashkan Ebadi ◽

Josué L. Dalboni da Rocha ◽

Dushyanth B. Nagaraju ◽

Fernanda Tovar-Moll ◽

Ivanei Bramati ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Diffusion Tensor ◽

Ensemble Classification ◽

Complex Graph ◽

Diffusion Tensor Images

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Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging

Alzheimer s & Dementia ◽

10.1016/j.jalz.2012.10.001 ◽

2012 ◽

Vol 9 (5) ◽

pp. 529-537 ◽

Cited By ~ 138

Author(s):

David R. Roalf ◽

Paul J. Moberg ◽

Sharon X. Xie ◽

David A. Wolk ◽

Stephen T. Moelter ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Healthy Aging ◽

Screening Instruments

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Classification of Alzheimer’s Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data

Proceedings of the 12th International Joint Conference on Computational Intelligence ◽

10.5220/0010143304390446 ◽

2020 ◽

Cited By ~ 1

Author(s):

Ibrahim Almubark ◽

Samah Alsegehy ◽

Xiong Jiang ◽

Lin-Ching Chang

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Test Data ◽

Multilayer Perceptron ◽

Neuropsychological Test ◽

Normal Controls

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A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm.2015.7359909 ◽

2015 ◽

Cited By ~ 3

Author(s):

Alexander Luke Spedding ◽

Giuseppe Di Fatta ◽

Mario Cannataro

Keyword(s):

Alzheimer’S Disease ◽

Genetic Algorithm ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Structural Mri ◽

Mri Features ◽

Selection Of

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Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2011.6091962 ◽

2011 ◽

Cited By ~ 4

Author(s):

J. Escudero ◽

J. P. Zajicek ◽

E. Ifeachor

Keyword(s):

Machine Learning ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Clinical Trials ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Sample Size ◽

Machine Learning Classification ◽

Mri Features

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