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Leah C Henze Bancroft

Showing results (1-10 of 13) with videos related to

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Magnetic Resonance in Medicine|November 14, 2021
Proton density water fraction as a reproducible MR-based measurement of breast densityLeah C Henze Bancroft, Roberta M Strigel, Erin B Macdonald, et al.
Magnetic Resonance in Medicine|May 7, 2015
Utilization of a balanced steady state free precession signal model for improved fat/water decompositionLeah C Henze Bancroft, Roberta M Strigel, Diego Hernando, et al.
Magnetic Resonance in Medicine|February 16, 2018
Feasibility of high spatiotemporal resolution for an abbreviated 3D radial breast MRI protocolJorge E Jimenez, Roberta M Strigel, Kevin M Johnson, et al.
Medical Physics|May 27, 2022
Gadolinium-based contrast agent attenuation does not impact PET quantification in simultaneous dynamic contrast enhanced breast PET/MRTimothy J Allen, Leah C Henze Bancroft, Manoj Kumar, et al.
Tomography (Ann Arbor, Mich.)|June 23, 2022
The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRIPing Ni Wang, Julia V Velikina, Leah C Henze Bancroft, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 21, 2019
Background parenchymal enhancement on breast MRI: A comprehensive reviewGeraldine J Liao, Leah C Henze Bancroft, Roberta M Strigel, et al.
Magnetic Resonance in Medicine|November 15, 2019
T<sub>1</sub> -corrected quantitative chemical shift-encoded MRIXiaoke Wang, Timothy J Colgan, Louis A Hinshaw, et al.
Investigative Radiology|November 30, 2016
Novel High Spatiotemporal Resolution Versus Standard-of-Care Dynamic Contrast-Enhanced Breast MRI: Comparison of Image QualityCourtney K Morrison, Leah C Henze Bancroft, Wendy B DeMartini, et al.
Physics in Medicine and Biology|January 22, 2024
Attenuation correction and truncation completion for breast PET/MR imaging using deep learningXue Li, Jacob M Johnson, Roberta M Strigel, et al.
Tomography (Ann Arbor, Mich.)|May 23, 2023
Automated Placement of Scan and Pre-Scan Volumes for Breast MRI Using a Convolutional Neural NetworkTimothy J Allen, Leah C Henze Bancroft, Kang Wang, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Magnetic Resonance in Medicine|November 14, 2021
Proton density water fraction as a reproducible MR-based measurement of breast densityLeah C Henze Bancroft, Roberta M Strigel, Erin B Macdonald, et al.
Magnetic Resonance in Medicine|May 7, 2015
Utilization of a balanced steady state free precession signal model for improved fat/water decompositionLeah C Henze Bancroft, Roberta M Strigel, Diego Hernando, et al.
Magnetic Resonance in Medicine|February 16, 2018
Feasibility of high spatiotemporal resolution for an abbreviated 3D radial breast MRI protocolJorge E Jimenez, Roberta M Strigel, Kevin M Johnson, et al.
Medical Physics|May 27, 2022
Gadolinium-based contrast agent attenuation does not impact PET quantification in simultaneous dynamic contrast enhanced breast PET/MRTimothy J Allen, Leah C Henze Bancroft, Manoj Kumar, et al.
Tomography (Ann Arbor, Mich.)|June 23, 2022
The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRIPing Ni Wang, Julia V Velikina, Leah C Henze Bancroft, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 21, 2019
Background parenchymal enhancement on breast MRI: A comprehensive reviewGeraldine J Liao, Leah C Henze Bancroft, Roberta M Strigel, et al.
Magnetic Resonance in Medicine|November 15, 2019
T<sub>1</sub> -corrected quantitative chemical shift-encoded MRIXiaoke Wang, Timothy J Colgan, Louis A Hinshaw, et al.
Investigative Radiology|November 30, 2016
Novel High Spatiotemporal Resolution Versus Standard-of-Care Dynamic Contrast-Enhanced Breast MRI: Comparison of Image QualityCourtney K Morrison, Leah C Henze Bancroft, Wendy B DeMartini, et al.
Physics in Medicine and Biology|January 22, 2024
Attenuation correction and truncation completion for breast PET/MR imaging using deep learningXue Li, Jacob M Johnson, Roberta M Strigel, et al.
Tomography (Ann Arbor, Mich.)|May 23, 2023
Automated Placement of Scan and Pre-Scan Volumes for Breast MRI Using a Convolutional Neural NetworkTimothy J Allen, Leah C Henze Bancroft, Kang Wang, et al.
Pageof 2