ArticleHuman brain mapping2024
Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting.
Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Open diffusion magnetic resonance imaging and connectivity data for epilepsy and surgery: The IDEAS II release.Epilepsia · 2026Article
- Increased Brain-Age Gap in Young Adults With Psychotic Experiences.Biological psychiatry global open science · 2026Article
- Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study).Radiology. Artificial intelligence · 2026Article
- Ultra-fast MRI for brain-age prediction in a real-world cognitive disorders clinic.Frontiers in aging neuroscience · 2026Article
- Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports.European radiology · 2025Article
- Current challenges and future directions for brain age prediction in children and adolescents.Nature communications · 2025Review
- Mind the Gap: Does Brain Age Improve Alzheimer's Disease Prediction?Human brain mapping · 2025Article
- Brain age prediction from MRI scans in neurodegenerative diseases.Current opinion in neurology · 2025Review
- Association between shift work and brain age gap: a neuroimaging study using MRI-based brain age prediction algorithms.Frontiers in aging neuroscience · 2025Article
- BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting.Human brain mapping · 2024Article
- Translating phenotypic prediction models from big to small anatomical MRI data using meta-matching.Imaging neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
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 datasets, along with the complexity of managing heterogeneous MRI data, presents significant barriers to the development of accurate and generalisable models appropriate for clinical use. Here, we present a deep learning framework trained on routine clinical data (N up to 18,890, age range 18-96 years). We trained five separate models for accurate brain age prediction (all with mean absolute error ≤4.0 years, R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.