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Cited by in F6Publishing
For: Kazerouni AS, Gadde M, Gardner A, Hormuth DA 2nd, Jarrett AM, Johnson KE, Lima EABF, Lorenzo G, Phillips C, Brock A, Yankeelov TE. Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology. iScience 2020;23:101807. [PMID: 33299976 DOI: 10.1016/j.isci.2020.101807] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Hormuth DA 2nd, Phillips CM, Wu C, Lima EABF, Lorenzo G, Jha PK, Jarrett AM, Oden JT, Yankeelov TE. Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data. Cancers (Basel) 2021;13:3008. [PMID: 34208448 DOI: 10.3390/cancers13123008] [Reference Citation Analysis]
2 Hormuth DA 2nd, Farhat M, Christenson C, Curl B, Chad Quarles C, Chung C, Yankeelov TE. Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy. Adv Drug Deliv Rev 2022;187:114367. [PMID: 35654212 DOI: 10.1016/j.addr.2022.114367] [Reference Citation Analysis]
3 Lima EABF, Faghihi D, Philley R, Yang J, Virostko J, Phillips CM, Yankeelov TE. Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth. PLoS Comput Biol 2021;17:e1008845. [PMID: 34843457 DOI: 10.1371/journal.pcbi.1008845] [Reference Citation Analysis]
4 Liu J, Hormuth DA, Yang J, Yankeelov TE. A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data. Front Oncol 2022;12:811415. [DOI: 10.3389/fonc.2022.811415] [Reference Citation Analysis]