ArticleHuman brain mapping2023
An artificial-intelligence-based age-specific template construction framework for brain structural analysis using magnetic resonance images.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 15 citations in OpenAlex.
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- Creation of structural MRI brain templates for middle to late adulthood in the Thai population using single and multi-scanner data.Quantitative imaging in medicine and surgery · 2025Article
- Automated MRI-Based Classification of Parkinsonism: A Deep Learning Approach to Distinguish PD From PSP.CNS neuroscience & therapeutics · 2025Article
- Utility of Deep Learning to Address Missing Modalities from Multi-Modal Medical Imaging Studies: A Systematic Review.Artificial intelligence and applications (Commerce, Calif.) · 2025Article
- Association between perivascular spaces, DTI-derived Indices, and choroid plexus with ventriculomegaly and white matter hyperintensity in idiopathic normal pressure hydrocephalus.Neurosurgical review · 2025Article
- Construction of a Structurally Unbiased Brain Template with High Image Quality from MRI Scans of Saudi Adult Females.Bioengineering (Basel, Switzerland) · 2025Article
- Precision TMS through the integration of neuroimaging and machine learning: optimizing stimulation targets for personalized treatment.Frontiers in human neuroscience · 2025Review
- A Review of Advanced Multifunctional Magnetic Nanostructures for Cancer Diagnosis and Therapy Integrated into an Artificial Intelligence Approach.Pharmaceutics · 2023Review
- An artificial-intelligence-based age-specific template construction framework for brain structural analysis using magnetic resonance images.Human brain mapping · 2023Article
- A Cogitation on the ChatGPT Craze from the Perspective of Psychological Algorithm Aversion and Appreciation.Psychology research and behavior management · 2023Article
- uRP: An integrated research platform for one-stop analysis of medical images.Frontiers in radiology · 2023Article
- Automatic Detection of Cognitive Impairment in Patients With White Matter Hyperintensity Using Deep Learning and Radiomics.American journal of Alzheimer's disease and other dementiasArticle
Corrections and comments
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Authors and funding
26 authors at 8 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is an essential task to construct brain templates and analyze their anatomical structures in neurological and cognitive science. Generally, templates constructed from magnetic resonance imaging (MRI) of a group of subjects can provide a standard reference space for analyzing the structural and functional characteristics of the group. With recent development of artificial intelligence (AI) techniques, it is desirable to explore AI registration methods for quantifying age-specific brain variations and tendencies across different ages. In this article, we present an AI-based age-specific template construction (called ASTC) framework for longitudinal structural brain analysis using T1-weighted MRIs of 646 subjects from 18 to 82 years old collected from four medical centers. Altogether, 13 longitudinal templates were constructed at a 5-year age interval using ASTC, and tissue segmentation and substructure parcellation were performed for analysis across different age groups. The results indicated consistent changes in brain structures along with aging and demonstrated the capability of ASTC for longitudinal neuroimaging study.
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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.