Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2020
Source ID
10.1109/jbhi.2019.2914970

Entities

People

  • Andrés Ortíz
  • Diego Castillo-Barnes
  • Francisco J Martínez-Murcia
  • Javier Ramírez
  • Juan M. Gorriz

Organizations

  • AbbVie
  • Alzheimer's Association
  • Alzheimer's Disease Neuroimaging Initiative
  • Alzheimer's Drug Discovery Foundation
  • BioClinica
  • Biogen
  • Bristol-Myers Squibb
  • Chiron Corporation
  • Eli Lilly and Company
  • GE HealthCare
  • Hoffmann-La Roche
  • Innogenetics
  • Laboratoires Servier
  • Lundbeck
  • Meso Scale Diagnostics (United States)
  • Ministry of Science of Spain
  • National Institute of Biomedical Imaging and Bioengineering
  • National Institute on Aging
  • National Institutes of Health
  • Pfizer
  • Roche (United States)
  • Takeda Pharmaceutical Company
  • United States Department of Defense

Tags

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks