Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging

Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging

IntroductionCombining many types of imaging data—especially structural MRI (sMRI) and functional MRI (fMRI)—may greatly assist in the diagnosis and treatment of brain disorders like Alzheimer’s. Current approaches are less helpful for forecasting, however, as they do not always blend spatial and tem...

Full description

Saved in:
Bibliographic Details
Main Authors: Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Human Neuroscience
Subjects:
multimodal imaging
structural MRI (sMRI)
functional MRI (fMRI)
neurological disorders
deep learning framework
data fusion
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1552178/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2025.1552178/full

Similar Items