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Cited by in F6Publishing
For: Weiss RJ, Bates SV, Song Y, Zhang Y, Herzberg EM, Chen YC, Gong M, Chien I, Zhang L, Murphy SN, Gollub RL, Grant PE, Ou Y. Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy. J Transl Med 2019;17:385. [PMID: 31752923 DOI: 10.1186/s12967-019-2119-5] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Vedmurthy P, Pinto ALR, Lin DDM, Comi AM, Ou Y; BCH-KKI SWS Pre-symptomatic Biomarker Working Group. Study protocol: retrospectively mining multisite clinical data to presymptomatically predict seizure onset for individual patients with Sturge-Weber. BMJ Open 2022;12:e053103. [PMID: 35121603 DOI: 10.1136/bmjopen-2021-053103] [Reference Citation Analysis]
2 Mentzel HJ. [Artificial intelligence in image evaluation and diagnosis]. Monatsschr Kinderheilkd 2021;:1-9. [PMID: 34230692 DOI: 10.1007/s00112-021-01230-9] [Reference Citation Analysis]
3 He S, Pereira D, David Perez J, Gollub RL, Murphy SN, Prabhu S, Pienaar R, Robertson RL, Ellen Grant P, Ou Y. Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan. Med Image Anal 2021;72:102091. [PMID: 34038818 DOI: 10.1016/j.media.2021.102091] [Reference Citation Analysis]
4 Davendralingam N, Sebire NJ, Arthurs OJ, Shelmerdine SC. Artificial intelligence in paediatric radiology: Future opportunities. Br J Radiol 2021;94:20200975. [PMID: 32941736 DOI: 10.1259/bjr.20200975] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
5 Jeong E, Osmundson S, Gao C, Edwards DRV, Malin B, Chen Y. Learning the impact of acute and chronic diseases on forecasting neonatal encephalopathy. Comput Methods Programs Biomed 2021;211:106397. [PMID: 34530389 DOI: 10.1016/j.cmpb.2021.106397] [Reference Citation Analysis]