Identifying Early Mild Cognitive Impairment by Multi-Modality MRI-Based Deep Learning-Reference-Cited by-同舟云学术

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Identifying Early Mild Cognitive Impairment by Multi-Modality MRI-Based Deep Learning

Published:2020-09-04 Issue: Volume:12 Page:
ISSN:1663-4365
Container-title:Frontiers in Aging Neuroscience
language:
Short-container-title:Front. Aging Neurosci.

Author:

Kang Li,Jiang Jingwan,Huang Jianjun,Zhang Tijiang

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Cognitive Neuroscience,Aging

Reference45 articles.

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2. Deep learning reveals Alzheimer's disease onset in MCI subjects: results from an international challenge;Amoroso;J. Neurosci. Methods,2018

3. Discriminative learning for Alzheimer's disease diagnosis via canonical correlation analysis and multimodal fusion;Baiying;Front. Aging Neurosci,2016

4. Analysis of progression toward Alzheimer's disease based on evolutionary weighted random support vector machine cluster;Bi;Front. Neurosci,2018

5. Usefulness and stability of multicenter diffusion tensor imaging as an early marker for subjective cognitive decline and amnestic mild cognitive impairment: first results from the prospective DZNE delcode study;Brueggen;Alzheimers Dement,2017

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