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David J Collins

Showing results (161-170 of 178) with videos related to

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Radiology|February 27, 2019
Guidelines for Acquisition, Interpretation, and Reporting of Whole-Body MRI in Myeloma: Myeloma Response Assessment and Diagnosis System (MY-RADS)Christina Messiou, Jens Hillengass, Stefan Delorme, et al.
European Radiology|March 23, 2016
Repeatability of derived parameters from histograms following non-Gaussian diffusion modelling of diffusion-weighted imaging in a paediatric oncological cohortNeil P Jerome, Keiko Miyazaki, David J Collins, et al.
European Urology|June 19, 2016
METastasis Reporting and Data System for Prostate Cancer: Practical Guidelines for Acquisition, Interpretation, and Reporting of Whole-body Magnetic Resonance Imaging-based Evaluations of Multiorgan Involvement in Advanced Prostate CancerAnwar R Padhani, Frederic E Lecouvet, Nina Tunariu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|December 20, 2021
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastasesMihaela Rata, Khurum Khan, David J Collins, et al.
Magma (New York, N.Y.)|January 5, 2011
A Bayesian hierarchical model for DCE-MRI to evaluate treatment response in a phase II study in advanced squamous cell carcinoma of the head and neckBrandon Whitcher, Volker J Schmid, David J Collins, et al.
Frontiers in Oncology|December 19, 2017
Non-Invasive Prostate Cancer Characterization with Diffusion-Weighted MRI: Insight from <i>In silico</i> Studies of a Transgenic Mouse ModelDeborah K Hill, Andreas Heindl, Konstantinos Zormpas-Petridis, et al.
Nature|October 31, 2024
Dynamic interface printingCallum Vidler, Michael Halwes, Kirill Kolesnik, et al.
Frontiers in Oncology|May 21, 2019
Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With HistopathologyJessica M Winfield, Aisha B Miah, Dirk Strauss, et al.
Magma (New York, N.Y.)|May 24, 2025
Quantitative image quality metrics enable resource-efficient quality control of clinically applied AI-based reconstructions in MRIOwen A White, Joshua Shur, Francesca Castagnoli, et al.
Frontiers in Oncology|August 4, 2022
Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After RadiotherapyImogen Thrussell, Jessica M Winfield, Matthew R Orton, et al.
Pageof 18

Showing results (161-170 of 178) with videos related to

Sort By:
Pageof 18
Radiology|February 27, 2019
Guidelines for Acquisition, Interpretation, and Reporting of Whole-Body MRI in Myeloma: Myeloma Response Assessment and Diagnosis System (MY-RADS)Christina Messiou, Jens Hillengass, Stefan Delorme, et al.
European Radiology|March 23, 2016
Repeatability of derived parameters from histograms following non-Gaussian diffusion modelling of diffusion-weighted imaging in a paediatric oncological cohortNeil P Jerome, Keiko Miyazaki, David J Collins, et al.
European Urology|June 19, 2016
METastasis Reporting and Data System for Prostate Cancer: Practical Guidelines for Acquisition, Interpretation, and Reporting of Whole-body Magnetic Resonance Imaging-based Evaluations of Multiorgan Involvement in Advanced Prostate CancerAnwar R Padhani, Frederic E Lecouvet, Nina Tunariu, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|December 20, 2021
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastasesMihaela Rata, Khurum Khan, David J Collins, et al.
Magma (New York, N.Y.)|January 5, 2011
A Bayesian hierarchical model for DCE-MRI to evaluate treatment response in a phase II study in advanced squamous cell carcinoma of the head and neckBrandon Whitcher, Volker J Schmid, David J Collins, et al.
Frontiers in Oncology|December 19, 2017
Non-Invasive Prostate Cancer Characterization with Diffusion-Weighted MRI: Insight from <i>In silico</i> Studies of a Transgenic Mouse ModelDeborah K Hill, Andreas Heindl, Konstantinos Zormpas-Petridis, et al.
Nature|October 31, 2024
Dynamic interface printingCallum Vidler, Michael Halwes, Kirill Kolesnik, et al.
Frontiers in Oncology|May 21, 2019
Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With HistopathologyJessica M Winfield, Aisha B Miah, Dirk Strauss, et al.
Magma (New York, N.Y.)|May 24, 2025
Quantitative image quality metrics enable resource-efficient quality control of clinically applied AI-based reconstructions in MRIOwen A White, Joshua Shur, Francesca Castagnoli, et al.
Frontiers in Oncology|August 4, 2022
Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After RadiotherapyImogen Thrussell, Jessica M Winfield, Matthew R Orton, et al.
Pageof 18