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Cited by in F6Publishing
For: Chen M, Li H, Wang J, Yuan W, Altaye M, Parikh NA, He L. Early Prediction of Cognitive Deficit in Very Preterm Infants Using Brain Structural Connectome With Transfer Learning Enhanced Deep Convolutional Neural Networks. Front Neurosci 2020;14:858. [PMID: 33041749 DOI: 10.3389/fnins.2020.00858] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Brenner RG, Wheelock MD, Neil JJ, Smyser CD. Structural and functional connectivity in premature neonates. Semin Perinatol 2021;45:151473. [PMID: 34452753 DOI: 10.1016/j.semperi.2021.151473] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 He L, Li H, Chen M, Wang J, Altaye M, Dillman JR, Parikh NA. Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants. Front Neurosci 2021;15:753033. [PMID: 34675773 DOI: 10.3389/fnins.2021.753033] [Reference Citation Analysis]
3 Adle-Biassette H. Neurodevelopmental Sequelae of Preterm Infants: Scientific Challenges. J Neuropathol Exp Neurol 2021;80:390-2. [PMID: 33842955 DOI: 10.1093/jnen/nlab035] [Reference Citation Analysis]