Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer’s Disease Pathology Identification-Reference-Cited by-同舟云学术

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Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer’s Disease Pathology Identification

Published:2024-05-27 Issue: Volume:33 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Yang Zhangsihao¹,Su Yi²,Rouhi Rahimeh³,Farazi Mohammad¹,Zhu Wenhui¹,Chen Yanxi¹,Reiman Eric M²,Caselli Richard J⁴,Chen Kewei²,Wang Yalin¹,Lepore Natasha³

Affiliation:

1. Arizona State University,School of Computing and Augmented Intelligence,AZ,USA

2. Banner Alzheimer’s Institute,Phoenix,AZ,USA

3. Children’s Hospital Los Angeles,CIBORG Lab,Department of Radiology,Los Angeles,CA,USA

4. Mayo Clinic Arizona,Department of Neurology,Scottsdale,AZ,USA

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635797.pdf?arnumber=10635797

Reference22 articles.

1. Forecasting the global burden of Alzheimer's disease

2. Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approach

3. Amyloid-Dependent and Amyloid-Independent Stages of Alzheimer Disease

4. PLASMA BIOMARKERS OF AD EMERGING AS ESSENTIAL TOOLS FOR DRUG DEVELOPMENT: AN EU/US CTAD TASK FORCE REPORT

5. Plasma P-tau181 in Alzheimer’s disease: relationship to other biomarkers, differential diagnosis, neuropathology and longitudinal progression to Alzheimer’s dementia

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