ArticleFrontiers in aging neuroscience2018
Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction.
Article in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024Pooled it
- Optimization of a Q.Clear PET image reconstruction based on bayesian optimization in oncology and neurology applications.Physical and engineering sciences in medicine · 2026Article
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps.Brain communications · 2026Article
- Network Occlusion Sensitivity Analysis Identifies Regional Contributions to Brain Age Prediction.Human brain mapping · 2025Article
- Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach.Human brain mapping · 2025Article
- A review of artificial intelligence-based brain age estimation and its applications for related diseases.Briefings in functional genomics · 2025Review
- Low-Rank Tensor Fusion for Enhanced Deep Learning-Based Multimodal Brain Age Estimation.Brain sciences · 2024Article
- Application of deep learning with bivariate models for genomic prediction of sow lifetime productivity-related traits.Animal bioscience · 2024Article
- Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms.Scientific reports · 2023Article
- MRI-based brain age prediction model for children under 3 years old using deep residual network.Brain structure & function · 2023Article
- Bayesian reconstruction of magnetic resonance images using Gaussian processes.Scientific reports · 2023Article
- Article
- Prediction of East Asian Brain Age using Machine Learning Algorithms Trained With Community-based Healthy Brain MRI.Dementia and neurocognitive disorders · 2022Article
- Tissue volume estimation and age prediction using rapid structural brain scans.Scientific reports · 2022Article
- Rapid processing and quantitative evaluation of structural brain scans for adaptive multimodal imaging.Human brain mapping · 2022Article
- Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI.Frontiers in computational neuroscience · 2022Article
- Using artificial intelligence to automate meat cut identification from the semimembranosus muscle on beef boning lines.Journal of animal science · 2021Article
- Pitfalls in brain age analyses.Human brain mapping · 2021Article
- Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data.Human brain mapping · 2021Article
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4 authors.
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Abstract
Neuroimaging-based age prediction using machine learning is proposed as a biomarker of brain aging, relating to cognitive performance, health outcomes and progression of neurodegenerative disease. However, even leading age-prediction algorithms contain measurement error, motivating efforts to improve experimental pipelines. T1-weighted MRI is commonly used for age prediction, and the pre-processing of these scans involves normalization to a common template and resampling to a common voxel size, followed by spatial smoothing. Resampling parameters are often selected arbitrarily. Here, we sought to improve brain-age prediction accuracy by optimizing resampling parameters using Bayesian optimization. Using data on
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