Transfer learning‐trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progression
Abstract
Genome‐wide association studies (GWAS) for late onset Alzheimer's disease (AD) may miss genetic variants relevant for delineating disease stages when using clinically defined case/control as a phenotype due to its loose definition and heterogeneity.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2021
- Source ID
- 10.1002/dad2.12140
Entities
People
- Annat Haber
- Asli Uyar
- Benjamin A. Logsdon
- Cai John
- Christoph Preuss
- Gregory W. Carter
- Hongtian Stanley Yang
- R. Krishna Murthy Karuturi
- The Alzheimer’s Disease Neuroimaging Initiative*
- Vivek Philip
- Yi Li
Organizations
- Jackson Laboratory
- National Institute of Biomedical Imaging and Bioengineering
- National Institute on Aging
- National Institutes of Health
- Sage Bionetworks
- United States Department of Defense