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Predicting future cognitive decline with hyperbolic stochastic coding
Jie Zhang
, Qunxi Dong
, Jie Shi
, Qingyang Li
, Cynthia M. Stonnington
, Boris A. Gutman
, Kewei Chen
, Eric M. Reiman
, Richard J. Caselli
, Paul M. Thompson
, Jieping Ye
, Yalin Wang
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
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Keyphrases
Cognitive Decline
100%
Surface Mounting
100%
Predicting the Future
100%
Brain Imaging
100%
Parameter Space
100%
Stochastic Code
100%
Imaging Studies
50%
Alzheimer's Disease Pathology
50%
Brain Morphology
50%
Individualized Treatment
50%
Prognostic Indicator
50%
Statistical Power
50%
Search Methods
50%
Morphological Analysis
50%
Classification Accuracy
50%
Topological Structure
50%
Classification Task
50%
Diagnostic Indicator
50%
Max Pooling
50%
Shape Features
50%
Diffeomorphic
50%
High-dimensional Features
50%
Coordinate Coding
50%
Topological Surface
50%
Ring-shaped Patches
50%
Farthest Point Sampling
50%
Hyperbolic Geometry
50%
Feature Dimension Reduction
50%
Pooling Algorithm
50%
Breadth-first Search
50%
Prediction Research
50%
Computer Science
Parameter Space
100%
Feature Dimension
50%
Experimental Result
50%
Disease Progression
50%
Treatment Strategy
50%
Classification Task
50%
Classification Accuracy
50%
Dimensional Feature
50%
Point Sampling
50%
Topological Structure
50%
Boundary Condition
50%
Neuroscience
Brain Imaging
100%
Alzheimer's Disease
50%