Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Matthew D Blackledge

Showing results (21-30 of 38) with videos related to

Pageof 4
Sort By:
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|July 1, 2026
Predictive imaging biomarkers on whole-body diffusion-weighted MRI (WB-DWMRI) and [<sup>68</sup>Ga]GaPSMA-PET/CT for [<sup>177</sup>Lu]LuPSMA therapy in metastatic prostate cancer (mCRPC)Minal Padden-Modi, Jan Taprogge, Peter Dutey-Magni, et al.
Frontiers in Oncology|October 26, 2019
Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue SarcomaMatthew D Blackledge, Jessica M Winfield, Aisha Miah, et al.
Computers in Biology and Medicine|October 23, 2016
T<sub>2</sub>-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisationLin Cheng, Matthew D Blackledge, David J Collins, et al.
Physics in Medicine and Biology|October 30, 2025
AI-driven software for automated quantification of skeletal metastases and treatment response evaluation using whole-body diffusion-weighted MRI (WB-DWI) in advanced prostate cancerAntonio Candito, Matthew D Blackledge, Richard Holbrey, et al.
Frontiers in Oncology|May 28, 2020
Noise-Corrected, Exponentially Weighted, Diffusion-Weighted MRI (niceDWI) Improves Image Signal Uniformity in Whole-Body Imaging of Metastatic Prostate CancerMatthew D Blackledge, Nina Tunariu, Fabio Zungi, et al.
Radiology|January 26, 2016
Volume of Bone Metastasis Assessed with Whole-Body Diffusion-weighted Imaging Is Associated with Overall Survival in Metastatic Castration-resistant Prostate CancerRaquel Perez-Lopez, David Lorente, Matthew D Blackledge, et al.
Scientific Reports|July 17, 2025
Deep learning models for deriving optimised measures of fat and muscle mass from MRIBelvin Thomas, M Adam Ali, Fatima M H Ali, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 6, 2026
Quantitative Real-Time MRI for the Assessment of Gastric MotilityLydia Neubauer, Leonie Forstreuter, Fabian Winter, et al.
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.
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.
Pageof 4

Showing results (21-30 of 38) with videos related to

Sort By:
Pageof 4
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|July 1, 2026
Predictive imaging biomarkers on whole-body diffusion-weighted MRI (WB-DWMRI) and [<sup>68</sup>Ga]GaPSMA-PET/CT for [<sup>177</sup>Lu]LuPSMA therapy in metastatic prostate cancer (mCRPC)Minal Padden-Modi, Jan Taprogge, Peter Dutey-Magni, et al.
Frontiers in Oncology|October 26, 2019
Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue SarcomaMatthew D Blackledge, Jessica M Winfield, Aisha Miah, et al.
Computers in Biology and Medicine|October 23, 2016
T<sub>2</sub>-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisationLin Cheng, Matthew D Blackledge, David J Collins, et al.
Physics in Medicine and Biology|October 30, 2025
AI-driven software for automated quantification of skeletal metastases and treatment response evaluation using whole-body diffusion-weighted MRI (WB-DWI) in advanced prostate cancerAntonio Candito, Matthew D Blackledge, Richard Holbrey, et al.
Frontiers in Oncology|May 28, 2020
Noise-Corrected, Exponentially Weighted, Diffusion-Weighted MRI (niceDWI) Improves Image Signal Uniformity in Whole-Body Imaging of Metastatic Prostate CancerMatthew D Blackledge, Nina Tunariu, Fabio Zungi, et al.
Radiology|January 26, 2016
Volume of Bone Metastasis Assessed with Whole-Body Diffusion-weighted Imaging Is Associated with Overall Survival in Metastatic Castration-resistant Prostate CancerRaquel Perez-Lopez, David Lorente, Matthew D Blackledge, et al.
Scientific Reports|July 17, 2025
Deep learning models for deriving optimised measures of fat and muscle mass from MRIBelvin Thomas, M Adam Ali, Fatima M H Ali, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 6, 2026
Quantitative Real-Time MRI for the Assessment of Gastric MotilityLydia Neubauer, Leonie Forstreuter, Fabian Winter, et al.
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.
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.
Pageof 4