Multi-parametric classification of Alzheimer's disease and mild cognitive impairment: The impact of quantitative magnetization transfer MR imaging

Claus Kiefer; Lisa Brockhaus; Katja Cattapan-Ludewig; Pietro Ballinari; Yuliya Burren; Gerhard Schroth; Roland Wiest

doi:10.1016/j.neuroimage.2009.07.005

Multi-parametric classification of Alzheimer's disease and mild cognitive impairment: The impact of quantitative magnetization transfer MR imaging

NeuroImage ◽

10.1016/j.neuroimage.2009.07.005 ◽

2009 ◽

Vol 48 (4) ◽

pp. 657-667 ◽

Cited By ~ 27

Author(s):

Claus Kiefer ◽

Lisa Brockhaus ◽

Katja Cattapan-Ludewig ◽

Pietro Ballinari ◽

Yuliya Burren ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Mr Imaging ◽

Magnetization Transfer ◽

Parametric Classification ◽

The Impact

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Supplemental Material for The Impact of Time and Repeated Exposure on Famous Person Knowledge in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease

Neuropsychology ◽

10.1037/neu0000387.supp ◽

2017 ◽

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Amnestic Mild Cognitive Impairment ◽

Repeated Exposure ◽

Famous Person ◽

The Impact

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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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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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Critical evaluation of self-rated quality of life in mild cognitive impairment and Alzheimer’s disease — Further evidence for the impact of anosognosia and global cognitive impairment

The journal of nutrition health & aging ◽

10.1007/s12603-009-0063-4 ◽

2009 ◽

Vol 13 (3) ◽

pp. 226-230 ◽

Cited By ~ 41

Author(s):

Martin Berwig ◽

H. Leicht ◽

H. J. Gertz

Keyword(s):

Quality Of Life ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Critical Evaluation ◽

The Impact

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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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Pattern of cerebral hypoperfusion in Alzheimer's disease and mild cognitive impairment measured with arterial spin-labeling MR imaging: Initial experience

International Congress Series ◽

10.1016/j.ics.2006.04.009 ◽

2006 ◽

Vol 1290 ◽

pp. 108-122 ◽

Cited By ~ 2

Author(s):

Nathan A. Johnson ◽

Geon-Ho Jahng ◽

Michael W. Weiner ◽

Bruce L. Miller ◽

Helena C. Chui ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Mr Imaging ◽

Arterial Spin Labeling ◽

Spin Labeling ◽

Cerebral Hypoperfusion ◽

Initial Experience

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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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