Joanna M. Wardlaw
Orcid: 0000-0002-9812-6642
According to our database1,
Joanna M. Wardlaw
authored at least 67 papers
between 2001 and 2024.
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Bibliography
2024
Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain.
NeuroImage, 2024
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
2023
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT.
CoRR, 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images.
CoRR, 2023
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging.
Proceedings of the International Conference on Machine Learning, 2023
2022
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols.
Frontiers Comput. Neurosci., 2022
2021
Pharmacokinetic modelling for the simultaneous assessment of perfusion and <sup>18</sup>F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept.
NeuroImage, 2021
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.
NeuroImage, 2021
Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
2020
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks.
Medical Image Anal., 2020
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, 2020
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., 2020
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.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
2019
Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images.
Comput. Medical Imaging Graph., 2019
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Pattern Recognit., 2018
Widespread associations between trait conscientiousness and thickness of brain cortical regions.
NeuroImage, 2018
Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study.
NeuroImage, 2018
J. Imaging, 2018
CoRR, 2018
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis.
CoRR, 2018
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.
NeuroImage, 2017
A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS).
NeuroImage, 2017
Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936.
NeuroImage, 2017
Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging.
Frontiers Neuroinformatics, 2017
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2016
Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability.
NeuroImage, 2016
Evaluation of a pre-surgical functional MRI workflow: From data acquisition to reporting.
Int. J. Medical Informatics, 2016
Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project.
Frontiers ICT, 2016
3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model.
Comput. Methods Programs Biomed., 2016
Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016
Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2015
NeuroImage, 2015
Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis, 2015
2014
Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling.
NeuroImage, 2014
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, 2014
Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis, 2014
Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging.
IEEE J. Biomed. Health Informatics, 2013
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group.
NeuroImage, 2013
Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects.
NeuroImage, 2013
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
2012
Comput. Methods Programs Biomed., 2012
2011
Automatic segmentation of basal ganglia iron deposits from structural MRI.
Proceedings of the Medical Image Understanding and Analysis, 2011
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
2010
Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task.
NeuroImage, 2010
Quantifying the effects of normal ageing on white matter structure using unsupervised tract shape modelling.
NeuroImage, 2010
A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data.
Proceedings of the BIOSIGNALS 2010, 2010
2009
J. Assoc. Inf. Syst., 2009
Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data.
BMC Medical Imaging, 2009
2007
Proceedings of the From Genes to Personalized HealthCare: Grid Solutions for the Life Sciences, 2007
2006
Designing for e-Health: Recurring Scenarios in Developing Grid-based Medical Imaging Systems.
Proceedings of the Challenges and Opportunities of HealthGrids, 2006
The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
2004
NeuroImage, 2004
2001
Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001