Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models-Reference-Cited by-同舟云学术

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Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models

Published:2024-05 Issue: Volume:173 Page:108320
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Dular Lara^ORCID,Pernuš Franjo,Špiclin Žiga^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. Ten years of BrainAGE as a neuroimaging biomarker of brain aging: What insights have we gained?;Franke;Front. Neurol.,2019

2. Longitudinal changes in individual BrainAGE in healthy aging, mild cognitive impairment, and Alzheimer’s disease;Franke;GeroPsych,2012

3. Cross-sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis;Høgestøl;Front. Neurol.,2019

4. Longitudinal assessment of multiple sclerosis with the brain-age paradigm;Cole;Ann. Neurol.,2020

5. Advanced BrainAGE in older adults with type 2 diabetes mellitus;Franke;Front. Aging Neurosci.,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review;Tomography;2024-08-12

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