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For: Dular L, Špiclin Ž. BASE: Brain Age Standardized Evaluation. Neuroimage 2024;285:120469. [PMID: 38065279 DOI: 10.1016/j.neuroimage.2023.120469] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/31/2023] [Accepted: 11/20/2023] [Indexed: 01/13/2024]  Open
Number Cited by Other Article(s)
1
Zheng J, Wang J, Zhang Z, Li K, Zhao H, Liang P. Brain age prediction based on brain region volume modeling under broad network field of view. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2025;265:108739. [PMID: 40179718 DOI: 10.1016/j.cmpb.2025.108739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 03/12/2025] [Accepted: 03/22/2025] [Indexed: 04/05/2025]
2
Papouli A, Cole JH. Brain age prediction from MRI scans in neurodegenerative diseases. Curr Opin Neurol 2025:00019052-990000000-00247. [PMID: 40396549 DOI: 10.1097/wco.0000000000001383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2025]
3
Azzam M, Xu Z, Liu R, Li L, Meng Soh K, Challagundla KB, Wan S, Wang J. A review of artificial intelligence-based brain age estimation and its applications for related diseases. Brief Funct Genomics 2025;24:elae042. [PMID: 39436320 PMCID: PMC11735757 DOI: 10.1093/bfgp/elae042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 10/02/2024] [Accepted: 10/12/2024] [Indexed: 10/23/2024]  Open
4
Moon S, Lee J, Lee WH. Predicting brain age with global-local attention network from multimodal neuroimaging data: Accuracy, generalizability, and behavioral associations. Comput Biol Med 2025;184:109411. [PMID: 39556917 DOI: 10.1016/j.compbiomed.2024.109411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 11/08/2024] [Accepted: 11/08/2024] [Indexed: 11/20/2024]
5
Gaser C, Kalc P, Cole JH. A perspective on brain-age estimation and its clinical promise. NATURE COMPUTATIONAL SCIENCE 2024;4:744-751. [PMID: 39048692 DOI: 10.1038/s43588-024-00659-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 06/12/2024] [Indexed: 07/27/2024]
6
Li X, Hao Z, Li D, Jin Q, Tang Z, Yao X, Wu T. Brain age prediction via cross-stratified ensemble learning. Neuroimage 2024;299:120825. [PMID: 39214438 DOI: 10.1016/j.neuroimage.2024.120825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 08/06/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]  Open
7
Dular L, Špiclin Ž, for the Alzheimer’s Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing. Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures. Biomedicines 2024;12:2139. [PMID: 39335651 PMCID: PMC11428686 DOI: 10.3390/biomedicines12092139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Revised: 09/12/2024] [Accepted: 09/16/2024] [Indexed: 09/30/2024]  Open
8
Wu Y, Gao H, Zhang C, Ma X, Zhu X, Wu S, Lin L. Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review. Tomography 2024;10:1238-1262. [PMID: 39195728 PMCID: PMC11359833 DOI: 10.3390/tomography10080093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 08/09/2024] [Accepted: 08/09/2024] [Indexed: 08/29/2024]  Open
9
Hanson JL, Adkins DJ, Bacas E, Zhou P. Examining the reliability of brain age algorithms under varying degrees of participant motion. Brain Inform 2024;11:9. [PMID: 38573551 PMCID: PMC10994881 DOI: 10.1186/s40708-024-00223-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 03/18/2024] [Indexed: 04/05/2024]  Open
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