Towards an Image-Informed Mathematical Model of In Vivo Response to Fractionated Radiation Therapy von Hormuth, 2nd, David A, Jarrett, Angela M, Davis, Tessa, Yankeelov, Thomas E

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Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer von Kazerouni, Anum S, Hormuth, 2nd, David A, Davis, Tessa, Bloom, Meghan J, Mounho, Sarah, Rahman, Gibraan, Virostko, John, Yankeelov, Thomas E, Sorace, Anna G

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Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data von Hormuth, 2nd, David A, Phillips, Caleb M, Wu, Chengyue, Lima, Ernesto A B F, Lorenzo, Guillermo, Jha, Prashant K, Jarrett, Angela M, Oden, J Tinsley, Yankeelov, Thomas E

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Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities von Jarrett, Angela M, Faghihi, Danial, Ii, David A Hormuth, Lima, Ernesto A B F, Virostko, John, Biros, George, Patt, Debra, Yankeelov, Thomas E

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Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data von Lorenzo, Guillermo, Ahmed, Syed Rakin, HormuthII, David A, Vaughn, Brenna, Kalpathy-Cramer, Jayashree, Solorio, Luis, Yankeelov, Thomas E, Gomez, Hector

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Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth von Liang, Baoshan, Tan, Jingye, Lozenski, Luke, HormuthII, David A, Yankeelov, Thomas E, Villa, Umberto, Faghihi, Danial

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Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas von Chaudhuri, Anirban, Pash, Graham, Hormuth, David A, Lorenzo, Guillermo, Kapteyn, Michael, Wu, Chengyue, Ernesto A B F Lima, Yankeelov, Thomas E, Willcox, Karen

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Quantitative in vivo imaging to enable tumor forecasting and treatment optimization von Lorenzo, Guillermo, HormuthII, David A, Jarrett, Angela M, Lima, Ernesto A. B. F, Subramanian, Shashank, Biros, George, Oden, J. Tinsley, Hughes, Thomas J. R, Yankeelov, Thomas E

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