3DCNN predicting brain age using diffusion tensor imaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-023-02915-x.pdf
Reference54 articles.
1. O’Sullivan M et al (2001) Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline. Neurology 57:4. https://doi.org/10.1212/WNL.57.4.632
2. Greicius MD et al (2018) Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceed Nat Acad Sci United States of America 100(1):253–258. https://doi.org/10.1073/pnas.0135058100
3. Davis SW et al (2009) Assessing the effects of age on long white matter tracts using diffusion tensor tractography. Neuroimage 46(2):530–541. https://doi.org/10.1016/j.neuroimage.2009.01.068
4. Cole JH et al (2019) Brain age and other bodily “ages”: implications for neuropsychiatry. Molecular Psychiatry 24:266–281. https://doi.org/10.1038/s41380-018-0098-1
5. Huang TW et al (2017) Age estimation from brain MRI images using deep learning. in IEEE International Symposium on Biomedical Imaging. https://doi.org/10.1109/ISBI.2017.7950650
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