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Angela M Jarrett

Showing results (31-40 of 36) with videos related to

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Journal of Magnetic Resonance Imaging : JMRI|March 24, 2018
Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology settingAnna G Sorace, Chengyue Wu, Stephanie L Barnes, et al.
Nature Protocols|September 23, 2021
Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community settingAngela M Jarrett, Anum S Kazerouni, Chengyue Wu, et al.
Physical Biology|November 20, 2020
Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancerKaitlyn E Johnson, Grant R Howard, Daylin Morgan, et al.
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.
Cancer Research|August 1, 2022
MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast CancerChengyue Wu, Angela M Jarrett, Zijian Zhou, et al.
Physical Biology|April 17, 2019
The 2019 mathematical oncology roadmapRussell C Rockne, Andrea Hawkins-Daarud, Kristin R Swanson, et al.
Pageof 4

Showing results (31-40 of 36) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 36 results.
Journal of Magnetic Resonance Imaging : JMRI|March 24, 2018
Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology settingAnna G Sorace, Chengyue Wu, Stephanie L Barnes, et al.
Nature Protocols|September 23, 2021
Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community settingAngela M Jarrett, Anum S Kazerouni, Chengyue Wu, et al.
Physical Biology|November 20, 2020
Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancerKaitlyn E Johnson, Grant R Howard, Daylin Morgan, et al.
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.
Cancer Research|August 1, 2022
MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast CancerChengyue Wu, Angela M Jarrett, Zijian Zhou, et al.
Physical Biology|April 17, 2019
The 2019 mathematical oncology roadmapRussell C Rockne, Andrea Hawkins-Daarud, Kristin R Swanson, et al.
Pageof 4