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 …
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 …
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 …
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 …
Robust Brain Age Estimation via Regression Models and MRI-derived Features
The determination of biological brain age is a crucial biomarker in the assessment of
neurological disorders and understanding of the morphological changes that occur during …
neurological disorders and understanding of the morphological changes that occur during …
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 …
[HTML][HTML] Openbhb: a large-scale multi-site brain mri data-set for age prediction and debiasing
Prediction of chronological age from neuroimaging in the healthy population is an important
issue because the deviations from normal brain age may highlight abnormal trajectories …
issue because the deviations from normal brain age may highlight abnormal trajectories …
Brain Age Prediction: Deep Models Need a Hand to Generalize
In the pursuit of studying brain aging, numerous models to predict brain age from T1-
weighted MRI have been developed. Recently, many of these models take advantage of …
weighted MRI have been developed. Recently, many of these models take advantage of …
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 …
Contrastive learning for regression in multi-site brain age prediction
Building accurate Deep Learning (DL) models for brain age prediction is a very relevant
topic in neuroimaging, as it could help better understand neurodegenerative disorders and …
topic in neuroimaging, as it could help better understand neurodegenerative disorders and …