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David A Hormuth

Showing results (61-70 of 73) with videos related to

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Neoplasia (New York, N.Y.)|November 16, 2020
Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging dataAngela M Jarrett, David A Hormuth, Chengyue Wu, et al.
Medical Physics|November 21, 2021
Disposable point-of-care portable perfusion phantom for quantitative DCE-MRIMartin D Holland, Andres Morales, Sean Simmons, et al.
BMC Cancer|July 29, 2025
A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiationHugo J M Miniere, David A Hormuth, Ernesto A B F Lima, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 2, 2025
Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiationKhushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, et al.
Npj Imaging|April 14, 2025
A critical assessment of artificial intelligence in magnetic resonance imaging of cancerChengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, et al.
NPJ Systems Biology and Applications|June 10, 2026
Integrating imaging and mathematical modeling to predict and optimize patient outcomes in oncologyReshmi J S Patel, Ayesha Das, Aliya Anil, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 30, 2019
Translating preclinical MRI methods to clinical oncologyDavid A Hormuth, Anna G Sorace, John Virostko, et al.
Tomography (Ann Arbor, Mich.)|April 27, 2023
Toward Practical Integration of Omic and Imaging Data in Co-Clinical TrialsEmel Alkim, Heidi Dowst, Julie DiCarlo, et al.
Physics in Medicine and Biology|April 9, 2026
The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmapJie Deng, Sirisha Tadimalla, Tyler Seibert, et al.
Tomography (Ann Arbor, Mich.)|April 27, 2023
An Online Repository for Pre-Clinical Imaging Protocols (PIPs)Seth T Gammon, Allison S Cohen, Adrienne L Lehnert, et al.
Pageof 8

Showing results (61-70 of 73) with videos related to

Sort By:
Pageof 8
Neoplasia (New York, N.Y.)|November 16, 2020
Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging dataAngela M Jarrett, David A Hormuth, Chengyue Wu, et al.
Medical Physics|November 21, 2021
Disposable point-of-care portable perfusion phantom for quantitative DCE-MRIMartin D Holland, Andres Morales, Sean Simmons, et al.
BMC Cancer|July 29, 2025
A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiationHugo J M Miniere, David A Hormuth, Ernesto A B F Lima, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 2, 2025
Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiationKhushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, et al.
Npj Imaging|April 14, 2025
A critical assessment of artificial intelligence in magnetic resonance imaging of cancerChengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, et al.
NPJ Systems Biology and Applications|June 10, 2026
Integrating imaging and mathematical modeling to predict and optimize patient outcomes in oncologyReshmi J S Patel, Ayesha Das, Aliya Anil, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 30, 2019
Translating preclinical MRI methods to clinical oncologyDavid A Hormuth, Anna G Sorace, John Virostko, et al.
Tomography (Ann Arbor, Mich.)|April 27, 2023
Toward Practical Integration of Omic and Imaging Data in Co-Clinical TrialsEmel Alkim, Heidi Dowst, Julie DiCarlo, et al.
Physics in Medicine and Biology|April 9, 2026
The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmapJie Deng, Sirisha Tadimalla, Tyler Seibert, et al.
Tomography (Ann Arbor, Mich.)|April 27, 2023
An Online Repository for Pre-Clinical Imaging Protocols (PIPs)Seth T Gammon, Allison S Cohen, Adrienne L Lehnert, et al.
Pageof 8