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Cited by in F6Publishing
For: Park SH, Zhang Y, Kwon D, Zhao Q, Zahr NM, Pfefferbaum A, Sullivan EV, Pohl KM. Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals. Sci Rep 2018;8:8297. [PMID: 29844507 DOI: 10.1038/s41598-018-26627-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 0.8] [Reference Citation Analysis]
Number Citing Articles
1 Tapert SF, Eberson-Shumate S. Alcohol and the Adolescent Brain: What We've Learned and Where the Data Are Taking Us. Alcohol Res 2022;42:07. [PMID: 35465194 DOI: 10.35946/arcr.v42.1.07] [Reference Citation Analysis]
2 Shane MS, Denomme WJ. Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer. Personal Neurosci 2021;4:e6. [PMID: 34909565 DOI: 10.1017/pen.2021.2] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Ouyang J, Zhao Q, Sullivan EV, Pfefferbaum A, Tapert SF, Adeli E, Pohl KM. Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. IEEE J Biomed Health Inform 2021;25:2082-92. [PMID: 33270567 DOI: 10.1109/JBHI.2020.3042447] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
4 Morgenstern M, Hansen J, Hanewinkel R. [Alcohol use before the age of 14: marker variable or independent risk factor?]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2021;64:707-13. [PMID: 34023931 DOI: 10.1007/s00103-021-03336-7] [Reference Citation Analysis]
5 Wang X. Brain Structural Consequences of Chronic Cocaine Exposure and Their Effects on Behavior. Biol Psychiatry 2021;89:e11-2. [PMID: 33478682 DOI: 10.1016/j.biopsych.2020.12.002] [Reference Citation Analysis]
6 Zhao Q, Adeli E, Pohl KM. Training confounder-free deep learning models for medical applications. Nat Commun 2020;11:6010. [PMID: 33243992 DOI: 10.1038/s41467-020-19784-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 15] [Article Influence: 1.0] [Reference Citation Analysis]
7 Adeli E, Zhao Q, Zahr NM, Goldstone A, Pfefferbaum A, Sullivan EV, Pohl KM. Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. Neuroimage 2020;223:117293. [PMID: 32841716 DOI: 10.1016/j.neuroimage.2020.117293] [Cited by in Crossref: 6] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]