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D Blackledge

Showing results (41-50 of 63) with videos related to

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European Radiology|August 24, 2023
The value of baseline 18F-sodium fluoride and 18F-choline PET activity for identifying responders to radium-223 treatment in castration-resistant prostate cancer bone metastasesRicardo Donners, Nina Tunariu, Holly Tovey, et al.
Frontiers in Oncology|August 16, 2021
CT-Based Pelvic T<sub>1</sub>-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)Reza Kalantar, Christina Messiou, Jessica M Winfield, et al.
Scientific Reports|June 29, 2023
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19Reza Kalantar, Sumeet Hindocha, Benjamin Hunter, et al.
Radiology. Artificial Intelligence|October 7, 2021
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image FiltersKonstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, et al.
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.
Pageof 7

Showing results (41-50 of 63) with videos related to

Sort By:
Pageof 7
European Radiology|August 24, 2023
The value of baseline 18F-sodium fluoride and 18F-choline PET activity for identifying responders to radium-223 treatment in castration-resistant prostate cancer bone metastasesRicardo Donners, Nina Tunariu, Holly Tovey, et al.
Frontiers in Oncology|August 16, 2021
CT-Based Pelvic T<sub>1</sub>-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)Reza Kalantar, Christina Messiou, Jessica M Winfield, et al.
Scientific Reports|June 29, 2023
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19Reza Kalantar, Sumeet Hindocha, Benjamin Hunter, et al.
Radiology. Artificial Intelligence|October 7, 2021
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image FiltersKonstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, et al.
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.
Pageof 7