Publications by authors named "Matthew D Blackledge"

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A weakly-supervised deep learning model for fast localisation and delineation of the skeleton, internal organs, and spinal canal on whole-body diffusion-weighted MRI (WB-DWI).
Antonio Candito, Alina Dragan, Richard Holbrey, Ana Ribeiro, Ricardo Donners, Matthew D Blackledge

Comput Methods Programs Biomed· December 2025

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AI-driven software for automated quantification of skeletal metastases and treatment response evaluation using whole-body diffusion-weighted MRI (WB-DWI) in advanced prostate cancer.
Antonio Candito, Matthew D Blackledge, Richard Holbrey, Nuria Porta, Ana Ribeiro

Phys Med Biol· November 2025

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OsiriXGPT: An Innovative AI Co-pilot Plug-In for Seamless Deployment of Generative AI Models in Scan-to-Scan Reporting Workflows.
Antonio Candito, Timothy Sum-Hon Mun, Richard Holbrey, Simon Doran, Christina Messiou, Matthew D Blackledge

J Imaging Inform Med· October 2025

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An open-source repository-based tool for quality control of imaging protocol compliance: demonstration in a multicentre MRI study.
Sam Keaveney, Damien J McHugh, Mihaela Rata, Alina Dragan, Jessica M Winfield, Matthew D Blackledge

Br J Radiol· August 2025

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Deep learning models for deriving optimised measures of fat and muscle mass from MRI.
Belvin Thomas, M Adam Ali, Fatima M H Ali, Anthony Chung, Manjiri Joshi, Matthew D Blackledge

Sci Rep· July 2025

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Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers.
Reza Kalantar, Manasi Ingle, Romelie Rieu, Sebastian Curcean, Jessica Mary Winfield, Matthew David Blackledge

Adv Radiat Oncol· April 2025

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Inter- and Intra-Patient Repeatability of Radiomic Features from Multiparametric Whole-Body MRI in Patients with Metastatic Prostate Cancer.
Ricardo Donners, Antonio Candito, Mihaela Rata, Adam Sharp, Christina Messiou, Matthew D Blackledge

Cancers (Basel)· April 2024

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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 metastases.
Ricardo Donners, Nina Tunariu, Holly Tovey, Emma Hall, Sue Chua, Matthew D Blackledge

Eur Radiol· February 2024

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Deep Learning for Delineation of the Spinal Canal in Whole-Body Diffusion-Weighted Imaging: Normalising Inter- and Intra-Patient Intensity Signal in Multi-Centre Datasets.
Antonio Candito, Richard Holbrey, Ana Ribeiro, Christina Messiou, Nina Tunariu, Matthew D Blackledge

Bioengineering (Basel)· January 2024

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Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging.
Reza Kalantar, Sebastian Curcean, Jessica M Winfield, Gigin Lin, Christina Messiou, Matthew D Blackledge

Diagnostics (Basel)· November 2023

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Radium-223 in metastatic castration-resistant prostate cancer: whole-body diffusion-weighted magnetic resonance imaging scanning to assess response.
Chris Parker, Nina Tunariu, Holly Tovey, Roberto Alonzi, Matthew D Blackledge

JNCI Cancer Spectr· October 2023

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Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.
Reza Kalantar, Sumeet Hindocha, Benjamin Hunter, Bhupinder Sharma, Nasir Khan, Matthew D Blackledge

Sci Rep· June 2023

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Optimisation of b-values for the accurate estimation of the apparent diffusion coefficient (ADC) in whole-body diffusion-weighted MRI in patients with metastatic melanoma.
Annemarie K Knill, Matthew D Blackledge, Andra Curcean, James Larkin, Samra Turajlic

Eur Radiol· February 2023

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Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI.
Konstantinos Zormpas-Petridis, Nina Tunariu, David J Collins, Christina Messiou, Dow-Mu Koh, Matthew D Blackledge

Comput Biol Med· October 2022

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Virtual Biopsy in Soft Tissue Sarcoma. How Close Are We?
Amani Arthur, Edward W Johnston, Jessica M Winfield, Matthew D Blackledge, Robin L Jones

Front Oncol· July 2022

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Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy.
Imogen Thrussell, Jessica M Winfield, Matthew R Orton, Aisha B Miah, Shane H Zaidi, Matthew D Blackledge

Front Oncol· July 2022

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Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges.
Reza Kalantar, Gigin Lin, Jessica M Winfield, Christina Messiou, Susan Lalondrelle, Matthew D Blackledge

Diagnostics (Basel)· October 2021

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Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image Filters.
Konstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, Christina Messiou, Sebastian Curcean, Matthew D Blackledge

Radiol Artif Intell· September 2021

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Whole-body diffusion-weighted MRI in lymphoma-comparison of global apparent diffusion coefficient histogram parameters for differentiation of diseased nodes of lymphoma patients from normal lymph nodes of healthy individuals.
Ricardo Donners, Raphael Shih Zhu Yiin, Dow-Mu Koh, Katja De Paepe, Ian Chau, Matthew D Blackledge

Quant Imaging Med Surg· August 2021

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CT-Based Pelvic T-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN).
Reza Kalantar, Christina Messiou, Jessica M Winfield, Alexandra Renn, Arash Latifoltojar, Matthew D Blackledge

Front Oncol· July 2021

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Noninvasive MRI Native T Mapping Detects Response to -targeted Therapies in the Th- Model of Neuroblastoma.
Konstantinos Zormpas-Petridis, Evon Poon, Matthew Clarke, Neil P Jerome, Jessica K R Boult, Matthew D Blackledge

Cancer Res· August 2020

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Noise-Corrected, Exponentially Weighted, Diffusion-Weighted MRI (niceDWI) Improves Image Signal Uniformity in Whole-Body Imaging of Metastatic Prostate Cancer.
Matthew D Blackledge, Nina Tunariu, Fabio Zungi, Richard Holbrey, Matthew R Orton

Front Oncol· May 2020

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Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma.
Matthew D Blackledge, Jessica M Winfield, Aisha Miah, Dirk Strauss, Khin Thway

Front Oncol· October 2019

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MRI Imaging of the Hemodynamic Vasculature of Neuroblastoma Predicts Response to Antiangiogenic Treatment.
Konstantinos Zormpas-Petridis, Neil P Jerome, Matthew D Blackledge, Fernando Carceller, Evon Poon

Cancer Res· June 2019

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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, Frédéric E Lecouvet, Lia A Moulopoulos, Matthew D Blackledge

Radiology· April 2019

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