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Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning.
Hu LS, Yoon H, Eschbacher JM, Baxter LC, Dueck AC, Nespodzany A, Smith KA, Nakaji P, Xu Y, Wang L, Karis JP, Hawkins-Daarud AJ, Singleton KW, Jackson PR, Anderies BJ, Bendok BR, Zimmerman RS, Quarles C, Porter-Umphrey AB, Mrugala MM, Sharma A, Hoxworth JM, Sattur MG, Sanai N, Koulemberis PE, Krishna C, Mitchell JR, Wu T, Tran NL, Swanson KR, Li J. Hu LS, et al. Among authors: yoon h. AJNR Am J Neuroradiol. 2019 Mar;40(3):418-425. doi: 10.3174/ajnr.A5981. Epub 2019 Feb 28. AJNR Am J Neuroradiol. 2019. PMID: 30819771 Free PMC article.
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI.
Gaw N, Hawkins-Daarud A, Hu LS, Yoon H, Wang L, Xu Y, Jackson PR, Singleton KW, Baxter LC, Eschbacher J, Gonzales A, Nespodzany A, Smith K, Nakaji P, Mitchell JR, Wu T, Swanson KR, Li J. Gaw N, et al. Among authors: yoon h. Sci Rep. 2019 Jul 11;9(1):10063. doi: 10.1038/s41598-019-46296-4. Sci Rep. 2019. PMID: 31296889 Free PMC article.
7,398 results