Matthew D. Blackledge

According to our database, Matthew D. Blackledge authored at least 11 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Signal-based AI-driven software solution for automated quantification of metastatic bone disease and treatment response assessment using Whole-Body Diffusion-Weighted MRI (WB-DWI) biomarkers in Advanced Prostate Cancer.

Antonio Candito, Matthew D. Blackledge, Richard Holbrey, Nuria Porta, Ana Ribeiro, Fabio Zugni, Luca D'Erme, Francesca Castagnoli, Alina Dragan, Ricardo Donners, Christina Messiou, Nina Tunariu, Dow-Mu Koh

CoRR, May, 2025

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, Christina Messiou, Nina Tunariu, Dow-Mu Koh, Matthew D. Blackledge

CoRR, March, 2025

2024

Deep learning assisted atlas-based delineation of the skeleton from Whole-Body Diffusion Weighted MRI in patients with malignant bone disease.

Antonio Candito, Richard Holbrey, Ana Ribeiro, Alina Dragan, Christina Messiou, Nina Tunariu, Matthew D. Blackledge, Dow-Mu Koh

Biomed. Signal Process. Control., 2024

Enhanced-QuickDWI: Achieving Equivalent Clinical Quality by Denoising Heavily Sub-sampled Diffusion-Weighted Imaging Data.

Konstantinos Zormpas-Petridis, Antonio Candito, Christina Messiou, Dow-Mu Koh, Matthew D. Blackledge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Synthesising Whole-Body Diffusion-Weighted Maximum Intensity Projection Images Using Diffusion Model.

Changhyun Kim, Antonio Candito, Arrigo Cattabriga, Dow-Mu Koh, Richard Lee, Matthew D. Blackledge

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

2023

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, Dow-Mu Koh

CoRR, 2023

2022

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. Medicine, 2022

2021

Multi Modal Fusion for Radiogenomics Classification of Brain Tumor.

Timothy Sum Hon Mun, Simon J. Doran, Paul Huang, Christina Messiou, Matthew D. Blackledge

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2018

Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology.

Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2016

T₂-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisation.

Lin Cheng, Matthew D. Blackledge, David J. Collins, Matthew R. Orton, Neil P. Jerome, Thorsten Feiweier, Mihaela Rata, Veronica Morgan, Nina Tunariu, Martin O. Leach, Dow-Mu Koh

Comput. Biol. Medicine, 2016

Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX.

Matthew D. Blackledge, David J. Collins, Dow-Mu Koh, Martin O. Leach

Comput. Biol. Medicine, 2016