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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: wang l. 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: wang l. Sci Rep. 2019 Jul 11;9(1):10063. doi: 10.1038/s41598-019-46296-4. Sci Rep. 2019. PMID: 31296889 Free PMC article.
Imaging of intratumoral heterogeneity in high-grade glioma.
Hu LS, Hawkins-Daarud A, Wang L, Li J, Swanson KR. Hu LS, et al. Among authors: wang l. Cancer Lett. 2020 May 1;477:97-106. doi: 10.1016/j.canlet.2020.02.025. Epub 2020 Feb 27. Cancer Lett. 2020. PMID: 32112907 Free PMC article. Review.
Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma.
Hu LS, Wang L, Hawkins-Daarud A, Eschbacher JM, Singleton KW, Jackson PR, Clark-Swanson K, Sereduk CP, Peng S, Wang P, Wang J, Baxter LC, Smith KA, Mazza GL, Stokes AM, Bendok BR, Zimmerman RS, Krishna C, Porter AB, Mrugala MM, Hoxworth JM, Wu T, Tran NL, Swanson KR, Li J. Hu LS, et al. Among authors: wang l, wang j, wang p. Sci Rep. 2021 Feb 16;11(1):3932. doi: 10.1038/s41598-021-83141-z. Sci Rep. 2021. PMID: 33594116 Free PMC article.
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
Wang L, Wang H, D'Angelo F, Curtin L, Sereduk CP, Leon G, Singleton KW, Urcuyo J, Hawkins-Daarud A, Jackson PR, Krishna C, Zimmerman RS, Patra DP, Bendok BR, Smith KA, Nakaji P, Donev K, Baxter LC, Mrugała MM, Ceccarelli M, Iavarone A, Swanson KR, Tran NL, Hu LS, Li J. Wang L, et al. Among authors: wang h. PLoS One. 2024 Apr 3;19(4):e0299267. doi: 10.1371/journal.pone.0299267. eCollection 2024. PLoS One. 2024. PMID: 38568950 Free PMC article.
Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer.
Wang L, Zheng Z, Su Y, Chen K, Weidman D, Wu T, Lo S, Lure F, Li J; Alzheimer’s Disease Neuroimaging Initiative; Australian Imaging Biomarkers and Lifestyle flagship study of ageing. Wang L, et al. IISE Trans Healthc Syst Eng. 2024;14(2):167-177. doi: 10.1080/24725579.2023.2249487. Epub 2023 Aug 29. IISE Trans Healthc Syst Eng. 2024. PMID: 39239251 Free PMC article.
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