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Thomas E Yankeelov

Showing results (11-20 of 272) with videos related to

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Computer Methods in Applied Mechanics and Engineering|January 3, 2017
Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant TherapyJared A Weis, Michael I Miga, Thomas E Yankeelov
Physics in Medicine and Biology|April 8, 2010
The integration of quantitative multi-modality imaging data into mathematical models of tumorsNkiruka C Atuegwu, John C Gore, Thomas E Yankeelov
Cancer|December 11, 2019
Reply to Appropriate considerations of "rural" in National Cancer Data Base analysesJohn Virostko, Anna Capasso, Thomas E Yankeelov, et al.
Cancer|July 23, 2019
Recent trends in the age at diagnosis of colorectal cancer in the US National Cancer Data Base, 2004-2015John Virostko, Anna Capasso, Thomas E Yankeelov, et al.
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
Plos One|October 3, 2014
Modeling the effect of intra-voxel diffusion of contrast agent on the quantitative analysis of dynamic contrast enhanced magnetic resonance imagingStephanie L Barnes, C Chad Quarles, 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.
Seminars in Oncology Nursing|September 21, 2017
Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant SettingAnna G Sorace, Sara Harvey, Anum Syed, et al.
Cancer Research|January 17, 2015
Toward a science of tumor forecasting for clinical oncologyThomas E Yankeelov, Vito Quaranta, Katherine J Evans, et al.
Pageof 28

Showing results (11-20 of 272) with videos related to

Sort By:
Pageof 28
Computer Methods in Applied Mechanics and Engineering|January 3, 2017
Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant TherapyJared A Weis, Michael I Miga, Thomas E Yankeelov
Physics in Medicine and Biology|April 8, 2010
The integration of quantitative multi-modality imaging data into mathematical models of tumorsNkiruka C Atuegwu, John C Gore, Thomas E Yankeelov
Cancer|December 11, 2019
Reply to Appropriate considerations of "rural" in National Cancer Data Base analysesJohn Virostko, Anna Capasso, Thomas E Yankeelov, et al.
Cancer|July 23, 2019
Recent trends in the age at diagnosis of colorectal cancer in the US National Cancer Data Base, 2004-2015John Virostko, Anna Capasso, Thomas E Yankeelov, et al.
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
Plos One|October 3, 2014
Modeling the effect of intra-voxel diffusion of contrast agent on the quantitative analysis of dynamic contrast enhanced magnetic resonance imagingStephanie L Barnes, C Chad Quarles, 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.
Seminars in Oncology Nursing|September 21, 2017
Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant SettingAnna G Sorace, Sara Harvey, Anum Syed, et al.
Cancer Research|January 17, 2015
Toward a science of tumor forecasting for clinical oncologyThomas E Yankeelov, Vito Quaranta, Katherine J Evans, et al.
Pageof 28