[HTML][HTML] 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 …
[HTML][HTML] A deep learning model for brain age prediction using minimally preprocessed T1w images as input
Introduction 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 …
have been proposed based on structural magnetic resonance imaging scans (T1-weighted …
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 …
Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power
E Bacas, I Kahhalé, PR Raamana… - Human Brain …, 2023 - Wiley Online Library
The calculation of so‐called “brain age” from structural MRIs has been an emerging
biomarker in aging research. Data suggests that discrepancies between chronological age …
biomarker in aging research. Data suggests that discrepancies between chronological age …
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
Abstract Machine learning analysis of neuroimaging data can accurately predict
chronological age in healthy people. Deviations from healthy brain ageing have been …
chronological age in healthy people. Deviations from healthy brain ageing have been …
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) …
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 …