Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET-Reference-Cited by-同舟云学术

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Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET

Published:2008-05 Issue: Volume: Page:
ISSN:
Container-title:2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
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Author:

Sadeghi N.,Foster N. L.,Wang A. Y.,Minoshima S.,Lieberman A. P.,Tasdizen T.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4534844/4540908/04541019.pdf?arnumber=4541019

Cited by 12 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. A 3D convolutional neural network to classify subjects as Alzheimer's disease, frontotemporal dementia or healthy controls using brain 18F-FDG PET;NeuroImage;2024-03

2. A comprehensive review on detection and classification of dementia using neuroimaging and machine learning;Multimedia Tools and Applications;2023-11-13

3. On the detection of Alzheimer’s disease using fuzzy logic based majority voter classifier;Multimedia Tools and Applications;2022-05-21

4. The quantitative analysis of neurodegenerative disease: classification, noda, constellations, and multivariate geometry;Folia Neuropathologica;2018

5. Metabolic connectivity for differential diagnosis of dementing disorders;Journal of Cerebral Blood Flow & Metabolism;2016-07-22

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