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Joanna M. Wardlaw
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2020 – today
- 2024
- [j33]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: 120685 (2024) - [c28]Ben Philps
Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation. MIUA (1) 2024: 34-53 - [c27]Jesse Phitidis
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) 2024: 227-241 - 2023
- [c26]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: 10153-10169 - [c25]Jesse Phitidis
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA 2023: 3-17 - [i7]Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. CoRR abs/2303.15421 (2023) - [i6]Alessandro Fontanella, Grant Mair
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. CoRR abs/2308.02062 (2023) - [i5]Alessandro Fontanella, Wenwen Li, Grant Mair
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT. CoRR abs/2309.17320 (2023) - 2022
- [j32]Bryan M. Li
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols. Frontiers Comput. Neurosci. 16 (2022) - 2021
- [j31]Giorgos Papanastasiou
Pharmacokinetic modelling for the simultaneous assessment of perfusion and 18F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept. NeuroImage 225: 117482 (2021) - [j30]José Bernal, Maria del C. Valdés Hernández
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. NeuroImage 230: 117786 (2021) - [c24]Muhammad Febrian Rachmadi
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: 168-180 - [c23]José Bernal
Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. MIUA 2021: 151-164 - 2020
- [j29]Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li
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: 101685 (2020) - [j28]José Bernal
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) - [j27]Muhammad Febrian Rachmadi
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. Medical Image Anal. 63: 101712 (2020) - [c22]José Bernal
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: 171-183 - [c21]Lucia Ballerini
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. MIUA 2020: 400-409
2010 – 2019
- 2019
- [j26]Rafael Ortiz-Ramon
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) - [c20]Muhammad Febrian Rachmadi
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. MICCAI (3) 2019: 146-154 - [c19]José Bernal
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. MIUA 2019: 282-293 - 2018
- [j25]Susana Muñoz Maniega
Reference Tracts and Generative Models for Brain White Matter Tractography. J. Imaging 4(1): 8 (2018) - [j24]Gary J. Lewis, David Alexander Dickie
Widespread associations between trait conscientiousness and thickness of brain cortical regions. NeuroImage 176: 22-28 (2018) - [j23]Clara Alloza
Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. NeuroImage 183: 884-896 (2018) - [j22]Chen Qin
A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. 77: 150-159 (2018) - [c18]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 - [i4]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 abs/1804.01961 (2018) - [i3]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) - [i2]Christopher Bowles
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. CoRR abs/1810.10863 (2018) - 2017
- [j21]David Alexander Dickie
Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging. Frontiers Neuroinformatics 11: 1 (2017) - [j20]Dominic Edward Job
A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS). NeuroImage 144: 299-304 (2017) - [j19]Susan D. Shenkin
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. NeuroImage 153: 399-409 (2017) - [j18]Paul Hoffman
Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. NeuroImage 156: 394-402 (2017) - [c17]Ahmed E. Fetit, Siyamalan Manivannan
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. FIFI/OMIA@MICCAI 2017: 150-158 - [c16]Susana Muñoz Maniega
Improved Reference Tracts for Unsupervised Brain White Matter Tractography. MIUA 2017: 425-435 - [i1]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 abs/1704.07699 (2017) - 2016
- [j17]Jae-il Kim, Maria del C. Valdés Hernández, Natalie A. Royle, Susana Muñoz Maniega
3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model. Comput. Methods Programs Biomed. 129: 51-62 (2016) - [j16]Samuel Danso, Dominic Edward Job, David Rodriguez Gonzalez
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: 32 (2016) - [j15]Cyril R. Pernet
Evaluation of a pre-surgical functional MRI workflow: From data acquisition to reporting. Int. J. Medical Informatics 86: 37-42 (2016) - [j14]Anna K. Heye, Michael J. Thrippleton
Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. NeuroImage 125: 446-455 (2016) - [c15]Víctor González-Castro
Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words. ICIAR 2016: 642-649 - [c14]Christopher Bowles
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI 2016: 87-96 - [c13]Víctor González-Castro
Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI. MIUA 2016: 9-14 - [c12]Lucia Ballerini, Ruggiero Lovreglio
Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. MIUA 2016: 61-67 - 2015
- [j13]Andreas Glatz, Mark E. Bastin
Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities. NeuroImage 105: 332-346 (2015) - [c11]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: 66-71 - 2014
- [j12]Neda Jahanshad, Peter V. Kochunov, Emma Sprooten
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: 470-471 (2014) - [j11]Peter V. Kochunov, Neda Jahanshad, Emma Sprooten
Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. NeuroImage 95: 136-150 (2014) - [c10]Neda Jahanshad, Peter V. Kochunov, Thomas E. Nichols
Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group. ISBI 2014: 1234-1238 - [c9]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: 33-38 - 2013
- [j10]Islem Rekik, Stéphanie Allassonnière
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: 283593:1-283593:13 (2013) - [j9]Neda Jahanshad, Peter V. Kochunov, Emma Sprooten
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group. NeuroImage 81: 455-469 (2013) - [j8]Andreas Glatz, Maria del C. Valdés Hernández, Alexander J. Kiker, Mark E. Bastin
Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects. NeuroImage 82: 470-480 (2013) - [j7]Fan Zhu, David Rodriguez Gonzalez
Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging. IEEE J. Biomed. Health Informatics 17(5): 950-958 (2013) - 2012
- [j6]Fan Zhu, David Rodriguez Gonzalez
Parallel perfusion imaging processing using GPGPU. Comput. Methods Programs Biomed. 108(3): 1012-1021 (2012) - 2011
- [c8]Fan Zhu, David Rodriguez Gonzalez
A Parallel Deconvolution Algorithm in Perfusion Imaging. HISB 2011: 278-283 - [c7]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: 105-110 - 2010
- [j5]Viktoria-Eleni Gountouna
Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task. NeuroImage 49(1): 552-560 (2010) - [j4]Mark E. Bastin
Quantifying the effects of normal ageing on white matter structure using unsupervised tract shape modelling. NeuroImage 51(1): 1-10 (2010) - [c6]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: 507-514
2000 – 2009
- 2009
- [j3]T. William J. Moorhead, Viktoria-Eleni Gountouna
Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data. BMC Medical Imaging 9: 8 (2009) - [j2]Jenny Ure, Rob Procter, Yuwei Lin, Mark Hartswood, Stuart Anderson
The Development of Data Infrastructures for eHealth: A Socio-Technical Perspective. J. Assoc. Inf. Syst. 10(5): 3 (2009) - 2007
- [c5]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: 144-153 - 2006
- [c4]John R. Geddes
The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences. CBMS 2006: 81-86 - [c3]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: 336-347 - 2005
- [c2]John R. Geddes
NeuroGrid: Using Grid Technology to Advance Neuroscience. CBMS 2005: 570-572 - 2004
- [j1]Ian J. Deary, Enrico Simonotto, Martin Meyer
The functional anatomy of inspection time: an event-related fMRI study. NeuroImage 22(4): 1466-1479 (2004) - 2001
- [c1]Éric Bardinet, Alan C. F. Colchester, Alexis Roche
Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient. MICCAI 2001: 957-965
Coauthor Index
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