Paul A. Armitage

25 papers A* 1A 1Journal 13Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. DEMI@MICCAI Benjamin Jin, Maria del C. Valdés Hernández, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair
2023	J	`jnl`	Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study. Neuroinformatics Kevin Teh, Paul A. Armitage, Solomon Tesfaye, Dinesh Selvarajah
2023	J	`jnl`	Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT. CoRR Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul A. Armitage, Emanuele Trucco, Joanna M. Wardlaw, Amos J. Storkey
2023	A*	`conf`	Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. NeurIPS Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2023	J	`jnl`	Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. CoRR Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2022	—	`conf`	Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. MIDL Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2022	J	`jnl`	Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. CoRR Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2021	J	`jnl`	A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. NeuroImage 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
2021	J	`jnl`	Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images. J. Imaging Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Reyer Zwiggelaar, Bryan W. Scotney, Paul A. Armitage
2020	J	`jnl`	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. J. Imaging José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw
2020	—	`conf`	Fetal Brain Segmentation Using Convolutional Neural Networks with Fusion Strategies. ISVC (2) Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage
2019	—	`conf`	Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. MIUA José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw
2019	—	`conf`	Automated 2D Fetal Brain Segmentation of MR Images Using a Deep U-Net. ACPR (2) Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage
2019	J	`jnl`	Enhancement and Segmentation Workflow for the Developing Zebrafish Vasculature. J. Imaging Elisabeth Kugler, Karen Plant, Timothy Chico, Paul A. Armitage
2019	J	`jnl`	Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. Comput. Medical Imaging Graph. 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
2019	—	`conf`	Validating Segmentation of the Zebrafish Vasculature. MIUA Elisabeth Kugler, Timothy Chico, Paul A. Armitage
2018	—	`conf`	Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze
2018	J	`jnl`	Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze
2018	—	`conf`	Image Analysis in Light Sheet Fluorescence Microscopy Images of Transgenic Zebrafish Vascular Development. MIUA Elisabeth Kugler, Timothy Chico, Paul A. Armitage
2016	—	`conf`	Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words. ICIAR Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw
2016	—	`conf`	Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI. MIUA Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw
2016	J	`jnl`	Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. NeuroImage Anna K. Heye, Michael J. Thrippleton, Paul A. Armitage, Maria del C. Valdés Hernández, Stephen D. Makin, Andreas Glatz, Eleni Sakka, Joanna M. Wardlaw
2005	J	`jnl`	Extracting and visualizing physiological parameters using dynamic contrast-enhanced magnetic resonance imaging of the breast. Medical Image Anal. Paul A. Armitage, Christian P. Behrenbruch, Michael Brady, Niall Moore
2003	J	`jnl`	Fusion of contrast-enhanced breast MR and mammographic imaging data. Medical Image Anal. Christian P. Behrenbruch, Kostas Marias, Paul A. Armitage, Margaret Yam, Niall Moore, Ruth E. English, Jane Clarke, Michael Brady
2000	A	`conf`	MRI-Mammography 2D/3D Data Fusion for Breast Pathology Assessment. MICCAI Christian P. Behrenbruch, Kostas Marias, Paul A. Armitage, Margaret Yam, Niall Moore, Ruth E. English, Michael Brady