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David A Hormuth

Showing results (1-10 of 72) with videos related to

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Computational Mechanics|March 19, 2019
An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imagingXinzeng Feng, David A Hormuth, Thomas E Yankeelov
Radiation Oncology (London, England)|January 4, 2020
Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modelingDavid A Hormuth, Angela M Jarrett, Thomas E Yankeelov
Cancers|October 29, 2025
Investigating the Limits of Predictability of Magnetic Resonance Imaging-Based Mathematical Models of Tumor GrowthMegan F LaMonica, Thomas E Yankeelov, David A Hormuth
Frontiers in Oncology|February 21, 2022
A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized <i>via</i> Time-Resolved Microscopy DataJunyan Liu, David A Hormuth, Jianchen Yang, et al.
Cancers|April 30, 2021
Towards an Image-Informed Mathematical Model of In Vivo Response to Fractionated Radiation TherapyDavid A Hormuth, Angela M Jarrett, Tessa Davis, et al.
Mathematical Biosciences and Engineering : MBE|January 18, 2023
A data assimilation framework to predict the response of glioma cells to radiationJunyan Liu, David A Hormuth Ii, Jianchen Yang, et al.
Annals of Biomedical Engineering|April 10, 2019
Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRIDavid A Hormuth, Angela M Jarrett, Xinzeng Feng, et al.
Cancer Research|October 30, 2025
Speaking Mathematical Models into ExistenceErnesto A B F Lima, David A Hormuth, Thomas E Yankeelov
Magnetic Resonance Imaging|February 22, 2014
A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in ratsDavid A Hormuth, Jack T Skinner, Mark D Does, et al.
Arxiv|June 4, 2025
Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in OncologyGraham Pash, Umberto Villa, David A Hormuth, et al.
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
Computational Mechanics|March 19, 2019
An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imagingXinzeng Feng, David A Hormuth, Thomas E Yankeelov
Radiation Oncology (London, England)|January 4, 2020
Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modelingDavid A Hormuth, Angela M Jarrett, Thomas E Yankeelov
Cancers|October 29, 2025
Investigating the Limits of Predictability of Magnetic Resonance Imaging-Based Mathematical Models of Tumor GrowthMegan F LaMonica, Thomas E Yankeelov, David A Hormuth
Frontiers in Oncology|February 21, 2022
A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized <i>via</i> Time-Resolved Microscopy DataJunyan Liu, David A Hormuth, Jianchen Yang, et al.
Cancers|April 30, 2021
Towards an Image-Informed Mathematical Model of In Vivo Response to Fractionated Radiation TherapyDavid A Hormuth, Angela M Jarrett, Tessa Davis, et al.
Mathematical Biosciences and Engineering : MBE|January 18, 2023
A data assimilation framework to predict the response of glioma cells to radiationJunyan Liu, David A Hormuth Ii, Jianchen Yang, et al.
Annals of Biomedical Engineering|April 10, 2019
Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRIDavid A Hormuth, Angela M Jarrett, Xinzeng Feng, et al.
Cancer Research|October 30, 2025
Speaking Mathematical Models into ExistenceErnesto A B F Lima, David A Hormuth, Thomas E Yankeelov
Magnetic Resonance Imaging|February 22, 2014
A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in ratsDavid A Hormuth, Jack T Skinner, Mark D Does, et al.
Arxiv|June 4, 2025
Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in OncologyGraham Pash, Umberto Villa, David A Hormuth, et al.
Pageof 8