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David A Hormuth

Showing results (21-30 of 73) with videos related to

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Plos One|July 13, 2021
An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell linesJianchen Yang, Jack Virostko, David A Hormuth, et al.
Physics in Medicine and Biology|April 27, 2018
Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical resultsAngela M Jarrett, David A Hormuth, Stephanie L Barnes, et al.
Medical Image Analysis|July 30, 2021
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantomChengyue Wu, David A Hormuth, Ty Easley, et al.
Advanced Drug Delivery Reviews|June 2, 2022
Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapyDavid A Hormuth, Maguy Farhat, Chase Christenson, et al.
International Journal of Radiation Oncology, Biology, Physics|February 6, 2018
Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain CancerDavid A Hormuth, Jared A Weis, Stephanie L Barnes, et al.
Magnetic Resonance in Medicine|November 9, 2017
The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domainsRyan T Woodall, Stephanie L Barnes, David A Hormuth, et al.
Journal of Computational Science|April 30, 2025
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decompositionChase Christenson, Chengyue Wu, David A Hormuth, et al.
JCO Clinical Cancer Informatics|February 27, 2019
Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging DataDavid A Hormuth, Angela M Jarrett, Ernesto A B F Lima, et al.
Journal of the Royal Society, Interface|March 24, 2017
A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict <i>in vivo</i> glioma growthDavid A Hormuth, Jared A Weis, Stephanie L Barnes, et al.
Annual Review of Biomedical Engineering|April 10, 2024
Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big DataGuillermo Lorenzo, Syed Rakin Ahmed, David A Hormuth, et al.
Pageof 8

Showing results (21-30 of 73) with videos related to

Sort By:
Pageof 8
Plos One|July 13, 2021
An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell linesJianchen Yang, Jack Virostko, David A Hormuth, et al.
Physics in Medicine and Biology|April 27, 2018
Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical resultsAngela M Jarrett, David A Hormuth, Stephanie L Barnes, et al.
Medical Image Analysis|July 30, 2021
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantomChengyue Wu, David A Hormuth, Ty Easley, et al.
Advanced Drug Delivery Reviews|June 2, 2022
Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapyDavid A Hormuth, Maguy Farhat, Chase Christenson, et al.
International Journal of Radiation Oncology, Biology, Physics|February 6, 2018
Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain CancerDavid A Hormuth, Jared A Weis, Stephanie L Barnes, et al.
Magnetic Resonance in Medicine|November 9, 2017
The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domainsRyan T Woodall, Stephanie L Barnes, David A Hormuth, et al.
Journal of Computational Science|April 30, 2025
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decompositionChase Christenson, Chengyue Wu, David A Hormuth, et al.
JCO Clinical Cancer Informatics|February 27, 2019
Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging DataDavid A Hormuth, Angela M Jarrett, Ernesto A B F Lima, et al.
Journal of the Royal Society, Interface|March 24, 2017
A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict <i>in vivo</i> glioma growthDavid A Hormuth, Jared A Weis, Stephanie L Barnes, et al.
Annual Review of Biomedical Engineering|April 10, 2024
Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big DataGuillermo Lorenzo, Syed Rakin Ahmed, David A Hormuth, et al.
Pageof 8