[HTML][HTML] Feasibility of brain age predictions from clinical T1-weighted MRIs
PA Valdes-Hernandez, CL Nodarse, JH Cole… - Brain Research …, 2023 - Elsevier
An individual's brain predicted age minus chronological age (brain-PAD) obtained from
MRIs could become a biomarker of disease in research studies. However, brain age reports …
MRIs could become a biomarker of disease in research studies. However, brain age reports …
Considerations on brain age predictions from repeatedly sampled data across time
M Korbmacher, MY Wang, R Eikeland… - Brain and …, 2023 - Wiley Online Library
Introduction Brain age, the estimation of a person's age from magnetic resonance imaging
(MRI) parameters, has been used as a general indicator of health. The marker requires …
(MRI) parameters, has been used as a general indicator of health. The marker requires …
Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting
Estimated age from brain MRI data has emerged as a promising biomarker of neurological
health. However, the absence of large, diverse, and clinically representative training …
health. However, the absence of large, diverse, and clinically representative training …
Predicting the Age of the Brain with Minimally Processed T1-weighted MRI Data
In the last few years, several models trying to calculate the biological brain age have been
proposed based on structural magnetic resonance imaging scans (T1-weighted MRIs, T1w) …
proposed based on structural magnetic resonance imaging scans (T1-weighted MRIs, T1w) …
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide
Deep learning has emerged as a powerful approach to constructing imaging signatures of
normal brain ageing as well as of various neuropathological processes associated with …
normal brain ageing as well as of various neuropathological processes associated with …
Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging
Numerous studies have established that estimated brain age constitutes a valuable
biomarker that is predictive of cognitive decline and various neurological diseases. In this …
biomarker that is predictive of cognitive decline and various neurological diseases. In this …
Estimating brain age based on a healthy population with deep learning and structural MRI
Numerous studies have established that estimated brain age, as derived from statistical
models trained on healthy populations, constitutes a valuable biomarker that is predictive of …
models trained on healthy populations, constitutes a valuable biomarker that is predictive of …
Analysing race and sex bias in brain age prediction
Brain age prediction from MRI has become a popular imaging biomarker associated with a
wide range of neuropathologies. The datasets used for training, however, are often skewed …
wide range of neuropathologies. The datasets used for training, however, are often skewed …
BASE: Brain Age Standardized Evaluation
L Dular, Ž Špiclin… - NeuroImage, 2024 - Elsevier
Brain age, most commonly inferred from T1-weighted magnetic resonance images (T1w
MRI), is a robust biomarker of brain health and related diseases. Superior accuracy in brain …
MRI), is a robust biomarker of brain health and related diseases. Superior accuracy in brain …
Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages
Brain age prediction algorithms using structural magnetic resonance imaging (MRI) aim to
assess the biological age of the human brain. The difference between a person's …
assess the biological age of the human brain. The difference between a person's …