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Mark Muzi

Showing results (81-90 of 89) with videos related to

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Translational Oncology|April 29, 2014
Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challengeWei Huang, Xin Li, Yiyi Chen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 13, 2017
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging NetworkDavid C Newitt, Dariya Malyarenko, Thomas L Chenevert, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) ChallengeLaura C Bell, Natenael Semmineh, Hongyu An, et al.
Tomography (Ann Arbor, Mich.)|May 21, 2016
The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis ChallengeWei Huang, Yiyi Chen, Andriy Fedorov, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)Laura C Bell, Natenael Semmineh, Hongyu An, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part IIWei Huang, Yiyi Chen, Andriy Fedorov, et al.
Journal of Magnetic Resonance Imaging : JMRI|November 12, 2021
Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer AggressivenessSean D McGarry, Michael Brehler, John D Bukowy, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Pageof 9

Showing results (81-90 of 89) with videos related to

Sort By:
Pageof 9
You have reached the last page of results.This site can display upto 89 results.
Translational Oncology|April 29, 2014
Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challengeWei Huang, Xin Li, Yiyi Chen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 13, 2017
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging NetworkDavid C Newitt, Dariya Malyarenko, Thomas L Chenevert, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) ChallengeLaura C Bell, Natenael Semmineh, Hongyu An, et al.
Tomography (Ann Arbor, Mich.)|May 21, 2016
The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis ChallengeWei Huang, Yiyi Chen, Andriy Fedorov, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)Laura C Bell, Natenael Semmineh, Hongyu An, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part IIWei Huang, Yiyi Chen, Andriy Fedorov, et al.
Journal of Magnetic Resonance Imaging : JMRI|November 12, 2021
Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer AggressivenessSean D McGarry, Michael Brehler, John D Bukowy, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
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