BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Reiter MA, Jahedi A, Jac Fredo AR, Fishman I, Bailey B, Müller RA. Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity. Neural Comput Appl 2021;33:3299-310. [PMID: 34149191 DOI: 10.1007/s00521-020-05193-y] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Hwang G. Autism Spectrum Disorder: Time to Notice the Individuals More Than the Group. Biol Psychiatry 2022;92:606-8. [PMID: 36137703 DOI: 10.1016/j.biopsych.2022.07.012] [Reference Citation Analysis]
2 Moridian P, Ghassemi N, Jafari M, Salloum-asfar S, Sadeghi D, Khodatars M, Shoeibi A, Khosravi A, Ling SH, Subasi A, Alizadehsani R, Gorriz JM, Abdulla SA, Acharya UR. Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review. Front Mol Neurosci 2022;15:999605. [DOI: 10.3389/fnmol.2022.999605] [Reference Citation Analysis]
3 Dufford AJ, Kimble V, Tejavibulya L, Dadashkarimi J, Ibrahim K, Sukhodolsky DG, Scheinost D. Predicting Transdiagnostic Social Impairments in Childhood using Connectome-based Predictive Modeling.. [DOI: 10.1101/2022.04.07.22273518] [Reference Citation Analysis]
4 Horien C, Floris DL, Greene AS, Noble S, Rolison M, Tejavibulya L, O’connor D, Mcpartland JC, Scheinost D, Chawarska K, Lake EM, Constable RT. Functional connectome-based predictive modelling in autism. Biological Psychiatry 2022. [DOI: 10.1016/j.biopsych.2022.04.008] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
5 Devika K, Mahapatra D, Subramanian R, Oruganti VRM. Outlier-Based Autism Detection Using Longitudinal Structural MRI. IEEE Access 2022;10:27794-808. [DOI: 10.1109/access.2022.3157613] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Feng W, Liu G, Zeng K, Zeng M, Liu Y. A review of methods for classification and recognition of ASD using fMRI data. J Neurosci Methods 2021;:109456. [PMID: 34954253 DOI: 10.1016/j.jneumeth.2021.109456] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
7 Liu M, Li B, Hu D. Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review. Front Neurosci 2021;15:697870. [PMID: 34602966 DOI: 10.3389/fnins.2021.697870] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
8 Canario E, Chen D, Biswal B. A review of resting-state fMRI and its use to examine psychiatric disorders. Psychoradiology 2021;1:42-53. [DOI: 10.1093/psyrad/kkab003] [Cited by in Crossref: 16] [Cited by in F6Publishing: 18] [Article Influence: 8.0] [Reference Citation Analysis]