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 001 (MICCAI, 2000)

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 001 (Medical Image Anal., 2003)

Extracting and visualizing physiological parameters using dynamic contrast-enhanced magnetic resonance imaging of the breast. - Paul A. Armitage; Christian P. Behrenbruch; Michael Brady 001; Niall Moore (Medical Image Anal., 2005)

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 (ICIAR, 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 (MIUA, 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)

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 001; Bjoern H. Menze (MICCAI (1), 2018)

Image Analysis in Light Sheet Fluorescence Microscopy Images of Transgenic Zebrafish Vascular Development. - Elisabeth Kugler; Timothy Chico; Paul A. Armitage (MIUA, 2018)

Automated 2D Fetal Brain Segmentation of MR Images Using a Deep U-Net. - Andrik Rampun; Deborah Jarvis; Paul D. Griffiths; Paul A. Armitage (ACPR (2), 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 (MIUA, 2019)

Validating Segmentation of the Zebrafish Vasculature. - Elisabeth Kugler; Timothy Chico; Paul A. Armitage (MIUA, 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)

Enhancement and Segmentation Workflow for the Developing Zebrafish Vasculature. - Elisabeth Kugler; Karen Plant; Timothy Chico; Paul A. Armitage (J. Imaging, 2019)

Fetal Brain Segmentation Using Convolutional Neural Networks with Fusion Strategies. - Andrik Rampun; Deborah Jarvis; Paul D. Griffiths; Paul A. Armitage (ISVC (2), 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)

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)

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)

Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. - Matthew Lyon; Paul A. Armitage; Mauricio A. Álvarez (MIDL, 2022)

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. - Matthew Lyon; Paul A. Armitage; Mauricio A. Álvarez (NeurIPS, 2023)

Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT. - Alessandro Fontanella; Wenwen Li 003; Grant Mair; Antreas Antoniou; Eleanor Platt; Paul A. Armitage; Emanuele Trucco; Joanna M. Wardlaw; Amos J. Storkey (CoRR, 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, 2023)

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 003; Eleanor Platt; Paul A. Armitage; Amos J. Storkey; Joanna M. Wardlaw; Grant Mair (DEMI@MICCAI, 2024)