Identification and Classification of Alzheimer’s Disease Patients Using Novel Fractional Motion Model-Reference-Cited by-同舟云学术

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Identification and Classification of Alzheimer’s Disease Patients Using Novel Fractional Motion Model

Published:2020-09-17 Issue: Volume:14 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Du Lei,Xu Boyan,Zhao Zifang,Han Xiaowei,Gao Wenwen,Shi Sumin,Liu Xiuxiu,Chen Yue,Wang Yige,Sun Shilong,Zhang Lu,Gao Jiahong,Ma Guolin

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference54 articles.

1. In vivo quantitative susceptibility mapping (QSM) in Alzheimer’s disease.;Acosta-Cabronero;PLoS One,2013

2. On the path to 2025: understanding the Alzheimer’s disease continuum.;Aisen;Alzheimers Res. Ther.,2017

3. 2016 Alzheimer’s disease facts and figures.;Alzheimers Dement.,2016

4. The basis of anisotropic water diffusion in the nervous system - a technical review.;Beaulieu;NMR Biomed.,2002

5. Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model.;Bennett;Magn. Reson. Med.,2003

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anisotropy of Anomalous Diffusion Improves the Accuracy of Differentiating and Grading Alzheimer's Disease Using Novel Fractional Motion Model;Frontiers in Aging Neuroscience;2020-11-19

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