Paul A. Armitage

According to our database, Paul A. Armitage authored at least 22 papers between 2000 and 2024.

Collaborative distances:

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

2024

Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation.

Benjamin Jin, Maria del C. Valdés Hernández, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

2023

Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study.

Kevin Teh, Paul A. Armitage, Solomon Tesfaye, Dinesh Selvarajah

Neuroinformatics, January, 2023

Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT.

Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul A. Armitage, Emanuele Trucco, Joanna M. Wardlaw, Amos J. Storkey

CoRR, 2023

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI.

Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder.

Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.

José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Anna K. Heye, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw, Michael J. Thrippleton

NeuroImage, 2021

Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images.

Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Reyer Zwiggelaar, Bryan W. Scotney, Paul A. Armitage

J. Imaging, 2021

2020

Examining the Relationship between Semiquantitative Methods Analysing Concentration-Time and Enhancement-Time Curves from Dynamic-Contrast Enhanced Magnetic Resonance Imaging and Cerebrovascular Dysfunction in Small Vessel Disease.

José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw

J. Imaging, 2020

Fetal Brain Segmentation Using Convolutional Neural Networks with Fusion Strategies.

Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019

Enhancement and Segmentation Workflow for the Developing Zebrafish Vasculature.

Elisabeth Kugler, Karen Plant, Timothy Chico, Paul A. Armitage

J. Imaging, 2019

Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images.

Rafael Ortiz-Ramon, Maria del C. Valdés Hernández, Víctor González-Castro, Stephen D. Makin, Paul A. Armitage, Benjamin S. Aribisala, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, David Moratal

Comput. Medical Imaging Graph., 2019

Validating Segmentation of the Zebrafish Vasculature.

Elisabeth Kugler, Timothy Chico, Paul A. Armitage

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.

José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Automated 2D Fetal Brain Segmentation of MR Images Using a Deep U-Net.

Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Image Analysis in Light Sheet Fluorescence Microscopy Images of Transgenic Zebrafish Vascular Development.

Elisabeth Kugler, Timothy Chico, Paul A. Armitage

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss.

Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2016

Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability.

Anna K. Heye, Michael J. Thrippleton, Paul A. Armitage, Maria del C. Valdés Hernández, Stephen D. Makin, Andreas Glatz, Eleni Sakka, Joanna M. Wardlaw

NeuroImage, 2016

Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI.

Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words.

Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2005

Extracting and visualizing physiological parameters using dynamic contrast-enhanced magnetic resonance imaging of the breast.

Paul A. Armitage, Christian P. Behrenbruch, Michael Brady, Niall Moore

Medical Image Anal., 2005

2003

Fusion of contrast-enhanced breast MR and mammographic imaging data.

Christian P. Behrenbruch, Kostas Marias, Paul A. Armitage, Margaret Yam, Niall Moore, Ruth E. English, Jane Clarke, Michael Brady

Medical Image Anal., 2003

2000

MRI-Mammography 2D/3D Data Fusion for Breast Pathology Assessment.

Christian P. Behrenbruch, Kostas Marias, Paul A. Armitage, Margaret Yam, Niall Moore, Ruth E. English, Michael Brady

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000