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ORCIDPaul A. Armitage
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2020 – today
- 2024
[c12]Benjamin Jin
, Maria del C. Valdés Hernández, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair:
Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. DEMI@MICCAI 2024: 73-83- 2023
- [j9]Kevin Teh, Paul A. Armitage, Solomon Tesfaye, Dinesh Selvarajah:
Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study. Neuroinformatics 21(1): 35-43 (2023) - [c11]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. NeurIPS 2023 - [i4]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. CoRR abs/2306.00854 (2023) - [i3]Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul A. Armitage, Emanuele Trucco, Joanna M. Wardlaw, Amos J. Storkey:
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT. CoRR abs/2309.17320 (2023) - 2022
- [c10]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. MIDL 2022: 834-846 - [i2]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. CoRR abs/2203.15598 (2022) - 2021
- [j8]Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Reyer Zwiggelaar, Bryan W. Scotney, Paul A. Armitage:
Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images. J. Imaging 7(10): 200 (2021) - [j7]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:
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. NeuroImage 230: 117786 (2021) - 2020
- [j6]José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw:
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 6(6): 43 (2020) - [c9]Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage:
Fetal Brain Segmentation Using Convolutional Neural Networks with Fusion Strategies. ISVC (2) 2020: 113-124
2010 – 2019
- 2019
- [j5]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:
Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. Comput. Medical Imaging Graph. 74: 12-24 (2019) - [j4]Elisabeth Kugler, Karen Plant, Timothy Chico, Paul A. Armitage:
Enhancement and Segmentation Workflow for the Developing Zebrafish Vasculature. J. Imaging 5(1): 14 (2019) - [c8]Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage:
Automated 2D Fetal Brain Segmentation of MR Images Using a Deep U-Net. ACPR (2) 2019: 373-386 - [c7]Elisabeth Kugler, Timothy Chico, Paul A. Armitage:
Validating Segmentation of the Zebrafish Vasculature. MIUA 2019: 270-281 - [c6]José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw:
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. MIUA 2019: 282-293 - 2018
- [c5]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) 2018: 39-47 - [c4]Elisabeth Kugler, Timothy Chico, Paul A. Armitage:
Image Analysis in Light Sheet Fluorescence Microscopy Images of Transgenic Zebrafish Vascular Development. MIUA 2018: 343-353 - [i1]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR abs/1804.02745 (2018) - 2016
- [j3]Anna K. Heye, Michael J. Thrippleton, Paul A. Armitage, Maria del C. Valdés Hernández, Stephen D. Makin, Andreas Glatz, Eleni Sakka, Joanna M. Wardlaw:
Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. NeuroImage 125: 446-455 (2016) - [c3]Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw:
Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words. ICIAR 2016: 642-649 - [c2]Víctor González-Castro, Maria del C. Valdés Hernández, Paul A. Armitage, Joanna M. Wardlaw:
Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI. MIUA 2016: 9-14
2000 – 2009
- 2005
- [j2]Paul A. Armitage, Christian P. Behrenbruch, Michael Brady, Niall Moore:
Extracting and visualizing physiological parameters using dynamic contrast-enhanced magnetic resonance imaging of the breast. Medical Image Anal. 9(4): 315-329 (2005) - 2003
- [j1]Christian P. Behrenbruch, Kostas Marias, Paul A. Armitage, Margaret Yam, Niall Moore, Ruth E. English, Jane Clarke, Michael Brady:
Fusion of contrast-enhanced breast MR and mammographic imaging data. Medical Image Anal. 7(3): 311-340 (2003) - 2000
- [c1]Christian P. Behrenbruch, Kostas Marias, Paul A. Armitage, Margaret Yam, Niall Moore, Ruth E. English, Michael Brady:
MRI-Mammography 2D/3D Data Fusion for Breast Pathology Assessment. MICCAI 2000: 307-316
Coauthor Index
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