A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain-Reference-Cited by-同舟云学术

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A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

Published:2019-02 Issue:2 Volume:290 Page:456-464
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Ding Yiming,Sohn Jae Ho^ORCID,Kawczynski Michael G.,Trivedi Hari,Harnish Roy,Jenkins Nathaniel W.,Lituiev Dmytro,Copeland Timothy P.,Aboian Mariam S.,Mari Aparici Carina,Behr Spencer C.,Flavell Robert R.,Huang Shih-Ying,Zalocusky Kelly A.,Nardo Lorenzo,Seo Youngho,Hawkins Randall A.,Hernandez Pampaloni Miguel,Hadley Dexter,Franc Benjamin L.

Funder

Foundation for the National Institutes of Health

National Institutes of Health

U.S. Department of Defense

University of California, San Francisco

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018180958

Reference27 articles.

1. Introduction to the recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

2. The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

3. Alzheimer's disease

4. The role of neuroimaging in mild cognitive impairment

5. Multicenter Standardized 18F-FDG PET Diagnosis of Mild Cognitive Impairment, Alzheimer's Disease, and Other Dementias

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1. Alzheimer’s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis;Biomedical Signal Processing and Control;2024-11

2. A multi-scale feature selection module based architecture for the diagnosis of Alzheimer’s disease on [18F]FDG PET;International Journal of Medical Informatics;2024-11

3. Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review;Artificial Intelligence Review;2024-09-05

4. 18F-FDG-PET-based deep learning for predicting cognitive decline in non-demented elderly across the Alzheimer’s disease clinical spectrum;Radiology Advances;2024-08-10

5. Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI;NeuroImage;2024-08

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