Joanna M. Wardlaw

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 44

Top Topics

Systematic Review

Multiple Sclerosis

Top Venues

Publications

Ben Philps, Maria del C. Valdés Hernández, Susana Muñoz Maniega, Mark E. Bastin, Eleni Sakka, Una Clancy, Joanna M. Wardlaw, Miguel O. Bernabeu
Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation. MIUA (1) (2024)
Jennifer M. J. Waymont, Maria del C. Valdés Hernández, José Bernal, Roberto Duarte Coello, Rosalind Brown, Francesca M. Chappell, Lucia Ballerini, Joanna M. Wardlaw
Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. NeuroImage 297 (2024)
Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) (2024)
Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. ICML (2023)
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 (2023)
Alessandro Fontanella, Grant Mair, Joanna M. Wardlaw, Emanuele Trucco, Amos J. Storkey
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. CoRR (2023)
Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. CoRR (2023)
Jesse Phitidis, Alison Q. O'Neil, Stewart Wiseman, David Alexander Dickie, Eleni Sakka, Agniete Kampaite, William Whiteley, Miguel O. Bernabeu, Beatrice Alex, Joanna M. Wardlaw, Maria del C. Valdés Hernández
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA (2023)
Bryan M. Li, Leonardo V. Castorina, Maria del C. Valdés Hernández, Una Clancy, Stewart J. Wiseman, Eleni Sakka, Amos J. Storkey, Daniela Jaime Garcia, Yajun Cheng, Fergus Doubal, Michael J. Thrippleton, Michael S. Stringer, Joanna M. Wardlaw
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols. Frontiers Comput. Neurosci. 16 (2022)
José Bernal, William Xu, Maria del C. Valdés Hernández, Javier Escudero, Angela C. C. Jochems, Una Clancy, Fergus N. Doubal, Michael S. Stringer, Michael J. Thrippleton, Rhian M. Touyz, Joanna M. Wardlaw
Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. MIUA (2021)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. PRIME@MICCAI (2021)
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 (2021)
Giorgos Papanastasiou, Mark A. Rodrigues, Chengjia Wang, Kerstin Heurling, Christophe Lucatelli, Rustam Al-Shahi Salman, Joanna M. Wardlaw, Edwin J. R. van Beek, Gerard Thompson
F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept. NeuroImage 225 (2021)
José Bernal, Maria del C. Valdés Hernández, Lucia Ballerini, Javier Escudero, Angela C. C. Jochems, Una Clancy, Fergus N. Doubal, Michael S. Stringer, Michael J. Thrippleton, Rhian M. Touyz, Joanna M. Wardlaw
A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging. MIUA (2020)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna M. Wardlaw, Taku Komura
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. Comput. Medical Imaging Graph. 79 (2020)
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) (2020)
Lucia Ballerini, Ahmed E. Fetit, Stephan Wunderlich, Ruggiero Lovreglio, Sarah McGrory, Maria del Carmen Valdés Hernández, Tom J. MacGillivray, Fergus Doubal, Ian J. Deary, Joanna M. Wardlaw, Emanuele Trucco
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. MIUA (2020)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. 63 (2020)
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 (2019)
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)
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) (2019)
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)
Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdés Hernández, Francesca M. Chappell, Víctor González-Castro, Devasuda Anblagan, Samuel Danso, Susana Muñoz Maniega, Dominic Job, Cyril R. Pernet, Grant Mair, Tom J. MacGillivray, Emanuele Trucco, Joanna M. Wardlaw
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. CoRR (2018)
Susana Muñoz Maniega, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, Jonathan D. Clayden
Reference Tracts and Generative Models for Brain White Matter Tractography. J. Imaging 4 (1) (2018)
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 (2018)
Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. 77 (2018)
Clara Alloza, Simon R. Cox, Manuel Blesa Cabez, Paul Redmond, Heather Whalley, Stuart J. Ritchie, Susana Muñoz Maniega, Maria del C. Valdés Hernández, Elliot Tucker-Drob, Stephen M. Lawrie, Joanna M. Wardlaw, Ian J. Deary, Mark E. Bastin
Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. NeuroImage 183 (2018)
Gary J. Lewis, David Alexander Dickie, Simon R. Cox, Sherif Karama, Alan C. Evans, John M. Starr, Mark E. Bastin, Joanna M. Wardlaw, Ian J. Deary
Widespread associations between trait conscientiousness and thickness of brain cortical regions. NeuroImage 176 (2018)
Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger N. Gunn, Alexander Hammers, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. CoRR (2018)
Dominic Edward Job, David Alexander Dickie, David Rodriguez Gonzalez, Andrew Robson, Samuel Danso, Cyril R. Pernet, Mark E. Bastin, James P. Boardman, Alison D. Murray, Trevor S. Ahearn, Gordon D. Waiter, Roger T. Staff, Ian J. Deary, Susan D. Shenkin, Joanna M. Wardlaw
A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS). NeuroImage 144 (2017)
Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdés Hernández, Joel Ramirez, Bradley J. MacIntosh, Sandra E. Black, Joanna M. Wardlaw
Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering. CoRR (2017)
Paul Hoffman, Simon R. Cox, Dominika Dykiert, Susana Muñoz Maniega, Maria del C. Valdés Hernández, Mark E. Bastin, Joanna M. Wardlaw, Ian J. Deary
Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. NeuroImage 156 (2017)
Susana Muñoz Maniega, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, Jonathan D. Clayden
Improved Reference Tracts for Unsupervised Brain White Matter Tractography. MIUA (2017)
Ahmed E. Fetit, Siyamalan Manivannan, Sarah McGrory, Lucia Ballerini, Alexander S. Doney, Thomas J. MacGillivray, Ian J. Deary, Joanna M. Wardlaw, Fergus Doubal, Gareth J. McKay, Stephen J. McKenna, Emanuele Trucco
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. FIFI/OMIA@MICCAI (2017)
David Alexander Dickie, Susan D. Shenkin, Devasuda Anblagan, Juyoung Lee, Manuel Blesa Cabez, David Rodriguez, James P. Boardman, Adam Waldman, Dominic Edward Job, Joanna M. Wardlaw
Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging. Frontiers Neuroinformatics 11 (2017)
Susan D. Shenkin, Cyril R. Pernet, Thomas E. Nichols, Jean-Baptiste Poline, Paul M. Matthews, Aad van der Lugt, Clare E. Mackay, Linda J. Lanyon, Bernard Mazoyer, James P. Boardman, Paul M. Thompson, Nick C. Fox, Daniel S. Marcus, Aziz Sheikh, Simon R. Cox, Devasuda Anblagan, Dominic Job, David Alexander Dickie, David Rodriguez, Joanna M. Wardlaw
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. NeuroImage 153 (2017)
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 (2016)
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)
Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI (2016)
Cyril R. Pernet, Krzysztof J. Gorgolewski, Dominic Job, David Rodriguez, Amos J. Storkey, Ian Whittle, Joanna M. Wardlaw
Evaluation of a pre-surgical functional MRI workflow: From data acquisition to reporting. Int. J. Medical Informatics 86 (2016)
Jae-il Kim, Maria del C. Valdés Hernández, Natalie A. Royle, Susana Muñoz Maniega, Benjamin S. Aribisala, Alan J. Gow, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, Jinah Park
3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model. Comput. Methods Programs Biomed. 129 (2016)
Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdés Hernández, Víctor González-Castro, Susana Muñoz Maniega, Enrico Pellegrini, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw
Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. MIUA (2016)
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)
Samuel Danso, Dominic Edward Job, David Rodriguez Gonzalez, David Alexander Dickie, Jeb Palmer, Jenny Ure, Philip Bath, Peter Sandercock, Joanna M. Wardlaw
Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project. Frontiers ICT 3 (2016)
Linda Viksne, Maria del C. Valdés Hernández, Katie Hoban, Anna K. Heye, Víctor González-Castro, Joanna M. Wardlaw
Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease. MIUA (2015)
Andreas Glatz, Mark E. Bastin, Alexander J. Kiker, Ian J. Deary, Joanna M. Wardlaw, Maria del C. Valdés Hernández
Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities. NeuroImage 105 (2015)
Neda Jahanshad, Peter V. Kochunov, Emma Sprooten, René C. W. Mandl, Thomas E. Nichols, Laura Almasy, John Blangero, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Ravindranath Duggirala, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Nicholas G. Martin, Katie L. McMahon, Sarah E. Medland, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Hilleke E. Hulshoff Pol, Mark E. Bastin, Andrew M. McIntosh, Ian J. Deary, Paul M. Thompson
Corrigendum to "Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group" [NeuroImage 81 (2013) 455-469]. NeuroImage 90 (2014)
Maria del C. Valdés Hernández, Jae-il Kim, Ian Whiteford, Xinyi Qiu, Joanna M. Wardlaw, Jinah Park
Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease. MIUA (2014)
Peter V. Kochunov, Neda Jahanshad, Emma Sprooten, Thomas E. Nichols, René C. W. Mandl, Laura Almasy, Tom Booth, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Rali Dimitrova, Ravindranath Duggirala, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaître, Lorna M. Lopez, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright
Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. NeuroImage 95 (2014)
Neda Jahanshad, Peter V. Kochunov, Thomas E. Nichols, Emma Sprooten, René C. W. Mandl, Laura Almasy, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Rali Dimitrova, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaître, Lorna M. Lopez, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright, Mark E. Bastin, Andrew M. McIntosh, Dorret I. Boomsma, René S. Kahn, Anouk den Braber, Ian J. Deary, Hilleke E. Hulshoff Pol, Douglas Williamson, John Blangero, Dennis van 't Ent, David C. Glahn, Paul M. Thompson
Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group. ISBI (2014)
Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm P. Atkinson, Joanna M. Wardlaw
Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging. IEEE J. Biomed. Health Informatics 17 (5) (2013)
Islem Rekik, Stéphanie Allassonnière, Stanley Durrleman, Trevor Carpenter, Joanna M. Wardlaw
Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. Comput. Math. Methods Medicine 2013 (2013)
Neda Jahanshad, Peter V. Kochunov, Emma Sprooten, René C. W. Mandl, Thomas E. Nichols, Laura Almasy, John Blangero, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Ravindranath Duggirala, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Nicholas G. Martin, Katie McMahon, Sarah E. Medland, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Hilleke E. Hulshoff Pol, Mark E. Bastin, Andrew M. McIntosh, Ian J. Deary, Paul M. Thompson
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group. NeuroImage 81 (2013)
Andreas Glatz, Maria del C. Valdés Hernández, Alexander J. Kiker, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw
Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects. NeuroImage 82 (2013)
Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm P. Atkinson, Joanna M. Wardlaw
Parallel perfusion imaging processing using GPGPU. Comput. Methods Programs Biomed. 108 (3) (2012)
Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm P. Atkinson, Joanna M. Wardlaw
A Parallel Deconvolution Algorithm in Perfusion Imaging. HISB (2011)
Andreas Glatz, Maria del C. Valdés Hernández, Alexander J. Kiker, Mark E. Bastin, Susana Muñoz Maniega, Natalie A. Royle, Ian J. Deary, Joanna M. Wardlaw
Automatic segmentation of basal ganglia iron deposits from structural MRI. MIUA (2011)
Mark E. Bastin, Susana Muñoz Maniega, Karen J. Ferguson, Laura J. E. Brown, Joanna M. Wardlaw, Alasdair M. J. MacLullich, Jonathan D. Clayden
Quantifying the effects of normal ageing on white matter structure using unsupervised tract shape modelling. NeuroImage 51 (1) (2010)
Maria del C. Valdés Hernández, Joanna M. Wardlaw, Sean Murphy
A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data. BIOSIGNALS (2010)
Viktoria-Eleni Gountouna, Dominic Job, Andrew M. McIntosh, T. William J. Moorhead, G. Katherine S. Lymer, Heather Whalley, Jeremy Hall, Gordon D. Waiter, David Brennan, David J. McGonigle, Trevor S. Ahearn, Jonathan Cavanagh, Barrie Condon, Donald M. Hadley, Ian Marshall, Alison D. Murray, J. Douglas Steele, Joanna M. Wardlaw, Stephen M. Lawrie
Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task. NeuroImage 49 (1) (2010)
Jenny Ure, Rob Procter, Yuwei Lin, Mark Hartswood, Stuart Anderson, Sharon Lloyd, Joanna M. Wardlaw, Horacio González-Vélez, Kate Ho
The Development of Data Infrastructures for eHealth: A Socio-Technical Perspective. J. Assoc. Inf. Syst. 10 (5) (2009)
T. William J. Moorhead, Viktoria-Eleni Gountouna, Dominic Job, Andrew M. McIntosh, Liana Romaniuk, G. Katherine S. Lymer, Heather Whalley, Gordon D. Waiter, David Brennan, Trevor S. Ahearn, Jonathan Cavanagh, Barrie Condon, J. Douglas Steele, Joanna M. Wardlaw, Stephen M. Lawrie
Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data. BMC Medical Imaging 9 (2009)
Jenny Ure, Rob Procter, Maryann E. Martone, David Porteous, Sharon Lloyd, Stephen M. Lawrie, Dominic Job, Richard A. Baldock, Alistair Philp, Dave Liewald, Frank Rakebrandt, Alan Blaikie, Clare McKay, Stuart Anderson, John D. Ainsworth, Jano I. van Hemert, Ignacio Blanquer, Richard O. Sinnott, Christian Barillot, Bernard Gibaud, Alan R. Williams, Mark Hartswood, Paul Watson, Leslie Smith, Albert Burger, Jessie B. Kennedy, Horacio González-Vélez, Robert Stevens, Óscar Corcho, Robin Morton, Pamela Linksted, Mylene Deschenes, Mark M. McGilchrist, Paul Johnson, Alex Voss, Renate Gertz, Joanna M. Wardlaw
Data Integration in eHealth: A Domain/Disease Specific Roadmap. HealthGrid (2007)
John R. Geddes, Clare E. Mackay, Sharon Lloyd, Andrew C. Simpson, David J. Power, Douglas Russell, Marina Jirotka, Mila Katzarova, Martin Rossor, Nick C. Fox, Jonathon Fletcher, Derek L. G. Hill, Kate McLeish, Yu Chen, Joseph V. Hajnal, Stephen M. Lawrie, Dominic Job, Andrew M. McIntosh, Joanna M. Wardlaw, Peter Sandercock, Jeb Palmer, Dave Perry, Rob Procter, Jenny Ure, Mark Hartswood, Roger Slack, Alex Voss, Kate Ho, Philip Bath, Wim Clarke, Graham Watson
Designing for e-Health: Recurring Scenarios in Developing Grid-based Medical Imaging Systems. HealthGrid (2006)
John R. Geddes, Clare E. Mackay, Sharon Lloyd, Andrew Simpson, David J. Power, Douglas Russell, Mila Katzarova, Martin Rossor, Nick C. Fox, Jonathon Fletcher, Derek L. G. Hill, Kate McLeish, Joseph V. Hajnal, Stephen M. Lawrie, Dominic Job, Andrew M. McIntosh, Joanna M. Wardlaw, Peter Sandercock, Jeb Palmer, Dave Perry, Rob Procter, Jenny Ure, Philip Bath, Graham Watson
The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences. CBMS (2006)
John R. Geddes, Sharon Lloyd, Andrew Simpson, Martin Rossor, Nick C. Fox, Derek L. G. Hill, Joseph V. Hajnal, Stephen M. Lawrie, Andrew M. McIntosh, Eve C. Johnstone, Joanna M. Wardlaw, Dave Perry, Rob Procter, Philip Bath, Edward T. Bullmore
NeuroGrid: Using Grid Technology to Advance Neuroscience. CBMS (2005)
Ian J. Deary, Enrico Simonotto, Martin Meyer, Alan Marshall, Ian Marshall, Nigel H. Goddard, Joanna M. Wardlaw
The functional anatomy of inspection time: an event-related fMRI study. NeuroImage 22 (4) (2004)
Éric Bardinet, Alan C. F. Colchester, Alexis Roche, Yonggen Zhu, Yang He, Sébastien Ourselin, Bill Nailon, S. Ali Hojjat, James Ironside, Safa Al-Sarraj, Nicholas Ayache, Joanna M. Wardlaw
Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient. MICCAI (2001)