Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction

Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction

Abstract Background Magnetic resonance imaging (MRI), combined with artificial intelligence techniques, has improved our understanding of brain structural change and enabled the estimation of brain age. Neurodegenerative disorders, such as Alzheimer’s disease (AD), have been linked to accelerated br...

Full description

Saved in:
Bibliographic Details
Main Authors: Chenxi Wang, Weiwei Zhang, Ming Ni, Qiong Wang, Chang Liu, Linbin Dai, Mengguo Zhang, Yong Shen, Feng Gao
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Alzheimer’s Research & Therapy
Subjects:
Brain aging
Alzheimer’ s disease
Deep learning
MRI
Transfer learning
Pattern recognition
Online Access:https://doi.org/10.1186/s13195-025-01773-z
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items