Matthew D. Blackledge

13 papers Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
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).
CoRR
Antonio Candito, Alina Dragan, Richard Holbrey, Ana Ribeiro, Ricardo Donners, Christina Messiou, Nina Tunariu, Dow-Mu Koh, Matthew D. Blackledge
2025 J jnl
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).
Comput. Methods Programs Biomed.
Antonio Candito, Alina Dragan, Richard Holbrey, Ana Ribeiro, Ricardo Donners, Christina Messiou, Nina Tunariu, Dow-Mu Koh, Matthew D. Blackledge
2025 J jnl
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.
CoRR
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
2024 J jnl
Deep learning assisted atlas-based delineation of the skeleton from Whole-Body Diffusion Weighted MRI in patients with malignant bone disease.
Biomed. Signal Process. Control.
Antonio Candito, Richard Holbrey, Ana Ribeiro, Alina Dragan, Christina Messiou, Nina Tunariu, Matthew D. Blackledge, Dow-Mu Koh
2024 — conf
Enhanced-QuickDWI: Achieving Equivalent Clinical Quality by Denoising Heavily Sub-sampled Diffusion-Weighted Imaging Data.
MICCAI (3)
Konstantinos Zormpas-Petridis, Antonio Candito, Christina Messiou, Dow-Mu Koh, Matthew D. Blackledge
2024 — conf
Synthesising Whole-Body Diffusion-Weighted Maximum Intensity Projection Images Using Diffusion Model.
MICAD
Changhyun Kim, Antonio Candito, Arrigo Cattabriga, Dow-Mu Koh, Richard Lee, Matthew D. Blackledge
2023 J jnl
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging.
CoRR
Reza Kalantar, Sebastian Curcean, Jessica M. Winfield, Gigin Lin, Christina Messiou, Matthew D. Blackledge, Dow-Mu Koh
2022 J jnl
Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI.
Comput. Biol. Medicine
Konstantinos Zormpas-Petridis, Nina Tunariu, David J. Collins, Christina Messiou, Dow-Mu Koh, Matthew D. Blackledge
2021 — conf
Multi Modal Fusion for Radiogenomics Classification of Brain Tumor.
BrainLes@MICCAI (1)
Timothy Sum Hon Mun, Simon J. Doran, Paul Huang, Christina Messiou, Matthew D. Blackledge
2018 — conf
Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology.
COMPAY/OMIA@MICCAI
Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan
2018 J jnl
Capturing global spatial context for accurate cell classification in skin cancer histology.
CoRR
Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan
2016 J jnl
Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX.
Comput. Biol. Medicine
Matthew D. Blackledge, David J. Collins, Dow-Mu Koh, Martin O. Leach
2016 J jnl
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Comput. Biol. Medicine
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