Joanna M. Wardlaw

80 papers A* 1A 1B 2Journal 49Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI. CoRR Jesse Phitidis, Alison Q. Smithard, William Whiteley, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2025	J	`jnl`	AI-based deformable hippocampal mesh reflects hippocampal morphological characteristics in relation to cognition in healthy older adults. NeuroImage Wonjung Park, Maria del C. Valdés Hernández, Jaeil Kim, Susana Muñoz Maniega, Fraser N. Sneden, Karen J. Ferguson, Mark E. Bastin, Joanna M. Wardlaw, Simon R. Cox, Jinah Park
2025	J	`jnl`	Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. Comput. Methods Programs Biomed. Jesse Phitidis, Alison Q. O'Neil, William Whiteley, Beatrice Alex, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2025	—	`conf`	Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. DEMI@MICCAI Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2025	J	`jnl`	Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. CoRR Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2025	J	`jnl`	Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. IEEE Trans. Medical Imaging Alessandro Fontanella, Grant Mair, Joanna M. Wardlaw, Emanuele Trucco, Amos Storkey
2025	—	`conf`	Robust Windowing Harmonisation for Improved Cross-Scanner Generalisation of White Matter Hypoattenuation Segmentation in Brain CT Clinical Scans. AIiH (2) Nada Alamoudi, Maria del C. Valdés Hernández, Sohan Seth, Joanna M. Wardlaw, Miguel O. Bernabeu
2025	J	`jnl`	Standardized Evaluation of Automatic Methods for Perivascular Spaces Segmentation in MRI - MICCAI 2024 Challenge Results. CoRR Yilei Wu, Yichi Zhang, Zijian Dong, Fang Ji, An Sen Tan, Gifford Tan, Sizhao Tang, Huijuan Chen, Zijiao Chen, Eric Kwun Kei Ng, José Bernal, Hang Min, Ying Xia, Ines Vati, Liz Cooper, Xiaoyu Hu, Yuchen Pei, Yutao Ma, Victor Nozais, Ami Tsuchida, Pierre-Yves Hervé, Philippe Boutinaud, Marc Joliot, Junghwa Kang, Wooseung Kim, Dayeon Bak, Rachika E. Hamadache, Valeriia Abramova, Xavier Lladó, Yuntao Zhu, Zhenyu Gong, Xin Chen, John McFadden, Pek Lan Khong, Roberto Duarte Coello, Hongwei Bran Li, Woon Puay Koh, Christopher Chen, Joanna M. Wardlaw, Maria del C. Valdés Hernández, Juan Helen Zhou
2025	J	`jnl`	Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. Medical Image Anal. Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu
2024	J	`jnl`	Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. CoRR Jesse Phitidis, Alison Q. O'Neil, William Whiteley, Beatrice Alex, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria del C. Valdés Hernández
2024	—	`conf`	Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil
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
2024	—	`conf`	Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation. MIUA (1) Ben Philps, Maria del C. Valdés Hernández, Susana Muñoz Maniega, Mark E. Bastin, Eleni Sakka, Una Clancy, Joanna M. Wardlaw, Miguel O. Bernabeu
2024	J	`jnl`	Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. NeuroImage Jennifer M. J. Waymont, Maria del C. Valdés Hernández, José Bernal, Roberto Duarte Coello, Rosalind Brown, Francesca M. Chappell, Lucia Ballerini, Joanna M. Wardlaw
2024	J	`jnl`	Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. CoRR Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu, Alzheimer's Disease Neuroimaging Initiative
2023	A*	`conf`	ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. ICML Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey
2023	J	`jnl`	ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. CoRR Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey
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	J	`jnl`	Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. CoRR Alessandro Fontanella, Grant Mair, Joanna M. Wardlaw, Emanuele Trucco, Amos J. Storkey
2023	—	`conf`	Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA 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
2022	J	`jnl`	Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols. Frontiers Comput. Neurosci. 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
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`	Pharmacokinetic modelling for the simultaneous assessment of perfusion and NeuroImage 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
2021	—	`conf`	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 Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe
2021	—	`conf`	Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. MIUA 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
2020	—	`conf`	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 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
2020	J	`jnl`	Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
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	J	`jnl`	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. 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
2020	—	`conf`	Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. MIUA 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
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	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`	Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura
2018	J	`jnl`	A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
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	J	`jnl`	GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. CoRR 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
2018	J	`jnl`	Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. CoRR 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
2018	J	`jnl`	Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. NeuroImage 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
2018	J	`jnl`	Reference Tracts and Generative Models for Brain White Matter Tractography. J. Imaging Susana Muñoz Maniega, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, Jonathan D. Clayden
2018	J	`jnl`	Widespread associations between trait conscientiousness and thickness of brain cortical regions. NeuroImage 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
2017	J	`jnl`	A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS). NeuroImage 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
2017	J	`jnl`	Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. NeuroImage Paul Hoffman, Simon R. Cox, Dominika Dykiert, Susana Muñoz Maniega, Maria del C. Valdés Hernández, Mark E. Bastin, Joanna M. Wardlaw, Ian J. Deary
2017	—	`conf`	Improved Reference Tracts for Unsupervised Brain White Matter Tractography. MIUA Susana Muñoz Maniega, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, Jonathan D. Clayden
2017	J	`jnl`	Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. NeuroImage 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
2017	J	`jnl`	Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering. CoRR Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdés Hernández, Joel Ramirez, Bradley J. MacIntosh, Sandra E. Black, Joanna M. Wardlaw
2017	—	`conf`	Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. FIFI/OMIA@MICCAI 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
2017	J	`jnl`	Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging. Frontiers Neuroinformatics 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
2016	J	`jnl`	3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model. Comput. Methods Programs Biomed. 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
2016	—	`conf`	Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. MIUA 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
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	J	`jnl`	Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project. Frontiers ICT Samuel Danso, Dominic Edward Job, David Rodriguez Gonzalez, David Alexander Dickie, Jeb Palmer, Jenny Ure, Philip Bath, Peter Sandercock, Joanna M. Wardlaw
2016	J	`jnl`	Evaluation of a pre-surgical functional MRI workflow: From data acquisition to reporting. Int. J. Medical Informatics Cyril R. Pernet, Krzysztof J. Gorgolewski, Dominic Job, David Rodriguez, Amos J. Storkey, Ian Whittle, Joanna M. Wardlaw
2016	—	`conf`	Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI 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
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
2015	J	`jnl`	Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities. NeuroImage Andreas Glatz, Mark E. Bastin, Alexander J. Kiker, Ian J. Deary, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2015	—	`conf`	Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease. MIUA Linda Viksne, Maria del C. Valdés Hernández, Katie Hoban, Anna K. Heye, Víctor González-Castro, Joanna M. Wardlaw
2014	—	`conf`	Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease. MIUA Maria del C. Valdés Hernández, Jae-il Kim, Ian Whiteford, Xinyi Qiu, Joanna M. Wardlaw, Jinah Park
2014	—	`conf`	Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group. ISBI 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
2014	J	`jnl`	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 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
2014	J	`jnl`	Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. NeuroImage 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
2013	J	`jnl`	Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects. NeuroImage Andreas Glatz, Maria del C. Valdés Hernández, Alexander J. Kiker, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw
2013	J	`jnl`	Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging. IEEE J. Biomed. Health Informatics Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm P. Atkinson, Joanna M. Wardlaw
2013	J	`jnl`	Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group. NeuroImage 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
2013	J	`jnl`	Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. Comput. Math. Methods Medicine Islem Rekik, Stéphanie Allassonnière, Stanley Durrleman, Trevor Carpenter, Joanna M. Wardlaw
2012	J	`jnl`	Parallel perfusion imaging processing using GPGPU. Comput. Methods Programs Biomed. Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm P. Atkinson, Joanna M. Wardlaw
2011	—	`conf`	A Parallel Deconvolution Algorithm in Perfusion Imaging. HISB Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm P. Atkinson, Joanna M. Wardlaw
2011	—	`conf`	Automatic segmentation of basal ganglia iron deposits from structural MRI. MIUA 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
2010	—	`conf`	A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data. BIOSIGNALS Maria del C. Valdés Hernández, Joanna M. Wardlaw, Sean Murphy
2010	J	`jnl`	Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task. NeuroImage 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
2010	J	`jnl`	Quantifying the effects of normal ageing on white matter structure using unsupervised tract shape modelling. NeuroImage Mark E. Bastin, Susana Muñoz Maniega, Karen J. Ferguson, Laura J. E. Brown, Joanna M. Wardlaw, Alasdair M. J. MacLullich, Jonathan D. Clayden
2009	J	`jnl`	Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data. BMC Medical Imaging 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
2009	J	`jnl`	The Development of Data Infrastructures for eHealth: A Socio-Technical Perspective. J. Assoc. Inf. Syst. Jenny Ure, Rob Procter, Yuwei Lin, Mark Hartswood, Stuart Anderson, Sharon Lloyd, Joanna M. Wardlaw, Horacio González-Vélez, Kate Ho
2007	—	`conf`	Data Integration in eHealth: A Domain/Disease Specific Roadmap. HealthGrid 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
2006	—	`conf`	Designing for e-Health: Recurring Scenarios in Developing Grid-based Medical Imaging Systems. HealthGrid 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
2006	B	`conf`	The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences. CBMS 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
2005	B	`conf`	NeuroGrid: Using Grid Technology to Advance Neuroscience. CBMS 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
2004	J	`jnl`	The functional anatomy of inspection time: an event-related fMRI study. NeuroImage Ian J. Deary, Enrico Simonotto, Martin Meyer, Alan Marshall, Ian Marshall, Nigel H. Goddard, Joanna M. Wardlaw
2001	A	`conf`	Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient. MICCAI 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