A perspective on brain-age estimation and its clinical promise
Brain-age estimation has gained increased attention in the neuroscientific community owing
to its potential use as a biomarker of brain health. The difference between estimated and …
to its potential use as a biomarker of brain health. The difference between estimated and …
[HTML][HTML] Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review
Y Wu, H Gao, C Zhang, X Ma, X Zhu, S Wu, L Lin - Tomography, 2024 - mdpi.com
The concept of 'brain age', derived from neuroimaging data, serves as a crucial biomarker
reflecting cognitive vitality and neurodegenerative trajectories. In the past decade, machine …
reflecting cognitive vitality and neurodegenerative trajectories. In the past decade, machine …
[HTML][HTML] The effect of head motion on brain age prediction using deep convolutional neural networks
P Vakli, B Weiss, D Rozmann, G Erőss, Á Nárai… - NeuroImage, 2024 - Elsevier
Deep learning can be used effectively to predict participants' age from brain magnetic
resonance imaging (MRI) data, and a growing body of evidence suggests that the difference …
resonance imaging (MRI) data, and a growing body of evidence suggests that the difference …
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
Brain age is a critical measure that reflects the biological ageing process of the brain. The
gap between brain age and chronological age, referred to as brain PAD (Predicted Age …
gap between brain age and chronological age, referred to as brain PAD (Predicted Age …
[PDF][PDF] SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
UK Hatfield - iplab.dmi.unict.it
Brain age is a critical measure that reflects the biological ageing process of the brain. The
gap between brain age and chronological age, referred to as brain PAD (Predicted Age …
gap between brain age and chronological age, referred to as brain PAD (Predicted Age …