Yankeelov TE - Search Results

1

Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.

Hormuth DA 2nd, Phillips CM, Wu C, Lima EABF, Lorenzo G, Jha PK, Jarrett AM, Oden JT, Yankeelov TE. Hormuth DA 2nd, et al. Among authors: yankeelov te. Cancers (Basel). 2021 Jun 16;13(12):3008. doi: 10.3390/cancers13123008. Cancers (Basel). 2021. PMID: 34208448 Free PMC article. Review.

2

Clinically relevant modeling of tumor growth and treatment response.

Yankeelov TE, Atuegwu N, Hormuth D, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V. Yankeelov TE, et al. Sci Transl Med. 2013 May 29;5(187):187ps9. doi: 10.1126/scitranslmed.3005686. Sci Transl Med. 2013. PMID: 23720579 Free PMC article.

3

A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.

Hormuth DA 2nd, Skinner JT, Does MD, Yankeelov TE. Hormuth DA 2nd, et al. Among authors: yankeelov te. Magn Reson Imaging. 2014 May;32(4):397-401. doi: 10.1016/j.mri.2013.12.019. Epub 2014 Jan 7. Magn Reson Imaging. 2014. PMID: 24556502 Free PMC article.

4

Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.

Hormuth DA 2nd, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V, Yankeelov TE. Hormuth DA 2nd, et al. Among authors: yankeelov te. Phys Biol. 2015 Jun 4;12(4):046006. doi: 10.1088/1478-3975/12/4/046006. Phys Biol. 2015. PMID: 26040472 Free PMC article.

5

A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth.

Hormuth DA 2nd, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V, Yankeelov TE. Hormuth DA 2nd, et al. Among authors: yankeelov te. J R Soc Interface. 2017 Mar;14(128):20161010. doi: 10.1098/rsif.2016.1010. J R Soc Interface. 2017. PMID: 28330985 Free PMC article.

6

Selection, calibration, and validation of models of tumor growth.

Lima EABF, Oden JT, Hormuth DA 2nd, Yankeelov TE, Almeida RC. Lima EABF, et al. Among authors: yankeelov te. Math Models Methods Appl Sci. 2016 Nov;26(12):2341-2368. doi: 10.1142/S021820251650055X. Epub 2016 Oct 3. Math Models Methods Appl Sci. 2016. PMID: 28827890 Free PMC article.

7

CCR7 Modulates the Generation of Thymic Regulatory T Cells by Altering the Composition of the Thymic Dendritic Cell Compartment.

Hu Z, Li Y, Van Nieuwenhuijze A, Selden HJ, Jarrett AM, Sorace AG, Yankeelov TE, Liston A, Ehrlich LIR. Hu Z, et al. Among authors: yankeelov te. Cell Rep. 2017 Oct 3;21(1):168-180. doi: 10.1016/j.celrep.2017.09.016. Cell Rep. 2017. PMID: 28978470 Free PMC article.

8

The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains.

Woodall RT, Barnes SL, Hormuth DA 2nd, Sorace AG, Quarles CC, Yankeelov TE. Woodall RT, et al. Among authors: yankeelov te. Magn Reson Med. 2018 Jul;80(1):330-340. doi: 10.1002/mrm.26995. Epub 2017 Nov 8. Magn Reson Med. 2018. PMID: 29115690 Free PMC article.

9

A fully coupled space-time multiscale modeling framework for predicting tumor growth.

Rahman MM, Feng Y, Yankeelov TE, Oden JT. Rahman MM, et al. Among authors: yankeelov te. Comput Methods Appl Mech Eng. 2017 Jun 15;320:261-286. doi: 10.1016/j.cma.2017.03.021. Epub 2017 Mar 21. Comput Methods Appl Mech Eng. 2017. PMID: 29158608 Free PMC article.

10

Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data.

Lima EABF, Oden JT, Wohlmuth B, Shahmoradi A, Hormuth DA 2nd, Yankeelov TE, Scarabosio L, Horger T. Lima EABF, et al. Among authors: yankeelov te. Comput Methods Appl Mech Eng. 2017 Dec 1;327:277-305. doi: 10.1016/j.cma.2017.08.009. Epub 2017 Aug 18. Comput Methods Appl Mech Eng. 2017. PMID: 29269963 Free PMC article.

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