Joanna M. Wardlaw

According to our database1, Joanna M. Wardlaw authored at least 63 papers between 2001 and 2023.

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Bibliography

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
A large margin algorithm for automated segmentation of white matter hyperintensity.
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

Reference Tracts and Generative Models for Brain White Matter Tractography.
J. Imaging, 2018

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks.
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

Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering.
CoRR, 2017

Improved Reference Tracts for Unsupervised Brain White Matter Tractography.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population.
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


Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2015
Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities.
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


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
Parallel perfusion imaging processing using GPGPU.
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

A Parallel Deconvolution Algorithm in Perfusion Imaging.
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
The Development of Data Infrastructures for eHealth: A Socio-Technical Perspective.
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

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
NeuroGrid: Using Grid Technology to Advance Neuroscience.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004
The functional anatomy of inspection time: an event-related fMRI study.
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


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