A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data. - Maria del C. Valdés Hernández; Joanna M. Wardlaw; Sean Murphy (BIOSIGNALS, 2010)

Automatic segmentation of basal ganglia iron deposits from structural MRI. - 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 (MIUA, 2011)

Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects. - Andreas Glatz; Maria del C. Valdés Hernández; Alexander J. Kiker; Mark E. Bastin; Ian J. Deary; Joanna M. Wardlaw (NeuroImage, 2013)

Brain Ventricular Morphology Analysis Using a Set of Ventricular-Specific Feature Descriptors. - Jae-il Kim; Hojin Ryoo; Maria del C. Valdés Hernández; Natalie A. Royle; Jinah Park (ISBMS, 2014)

Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease. - Maria del C. Valdés Hernández; Jae-il Kim; Ian Whiteford; Xinyi Qiu; Joanna M. Wardlaw; Jinah Park (MIUA, 2014)

Textural Characterisation on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease. - Linda Viksne; Maria del C. Valdés Hernández; Katie Hoban; Anna K. Heye; Víctor González-Castro; Joanna M. Wardlaw (MIUA, 2015)

Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities. - Andreas Glatz; Mark E. Bastin; Alexander J. Kiker; Ian J. Deary; Joanna M. Wardlaw; Maria del C. Valdés Hernández (NeuroImage, 2015)

Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification. - Jae-il Kim; Maria del C. Valdés Hernández; Natalie A. Royle; Jinah Park (IEEE Trans. Medical Imaging, 2015)

Automatic Rating of Perivascular Spaces in Brain MRI Using Bag of Visual Words. - Víctor González-Castro; Maria del C. Valdés Hernández; Paul A. Armitage; Joanna M. Wardlaw (ICIAR, 2016)

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. - 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; et al. (SASHIMI@MICCAI, 2016)

Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. - 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 (MIUA, 2016)

Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI. - Víctor González-Castro; Maria del C. Valdés Hernández; Paul A. Armitage; Joanna M. Wardlaw (MIUA, 2016)

3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model. - 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 (Comput. Methods Programs Biomed., 2016)

Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. - Anna K. Heye; Michael J. Thrippleton; Paul A. Armitage; Maria del C. Valdés Hernández; Stephen D. Makin; Andreas Glatz; Eleni Sakka; Joanna M. Wardlaw (NeuroImage, 2016)

Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of ^1 H Magnetic Resonance Spectroscopic Imaging. - Sevim Cengiz; Maria del C. Valdés Hernández; Esin Ozturk-Isik (MIUA, 2017)

Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Maria Leonora Fatimah Agan; Taku Komura (MIUA, 2017)

Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering. - Lucia Ballerini; Ruggiero Lovreglio; Maria del C. Valdés Hernández; Joel Ramirez; Bradley J. MacIntosh; Sandra E. Black; Joanna M. Wardlaw (CoRR, 2017)

Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Maria Leonora Fatimah Agan; Taku Komura (J. Imaging, 2017)

Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. - Paul Hoffman; Simon R. Cox; Dominika Dykiert; Susana Muñoz Maniega; Maria del C. Valdés Hernández; Mark E. Bastin; Joanna M. Wardlaw; Ian J. Deary (NeuroImage, 2017)

Automatic Irregular Texture Detection in Brain MRI Without Human Supervision. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Taku Komura (MICCAI (3), 2018)

Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Taku Komura (PRIME@MICCAI, 2018)

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Maria Leonora Fatimah Agan; Carol Di Perri; Taku Komura (Comput. Medical Imaging Graph., 2018)

Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. - 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; et al. (CoRR, 2018)

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. - Christopher Bowles; Liang Chen 018; Ricardo Guerrero; Paul Bentley; Roger N. Gunn; Alexander Hammers; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (CoRR, 2018)

Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. - 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; et al. (NeuroImage, 2018)

A critical analysis of neuroanatomical software protocols reveals clinically relevant differences in parcellation schemes. - Shadia Mikhael; Corné Hoogendoorn; Maria del C. Valdés Hernández; Cyril R. Pernet (NeuroImage, 2018)

A large margin algorithm for automated segmentation of white matter hyperintensity. - Chen Qin; Ricardo Guerrero; Christopher Bowles; Liang Chen 018; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (Pattern Recognit., 2018)

Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Stephen D. Makin; Joanna M. Wardlaw; Taku Komura (MICCAI (3), 2019)

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2019)

Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. - 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 (Comput. Medical Imaging Graph., 2019)

Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme. - Carlos Pérez Leguízamo; Maria del C. Valdés Hernández; Muhammad Febrian Rachmadi; Taku Komura (Frontiers Neuroinformatics, 2019)

Hierarchical complexity of the adult human structural connectome. - Keith Smith; Mark E. Bastin; Simon R. Cox; Maria del Carmen Valdés Hernández; Stewart Wiseman; Javier Escudero; Catherine Sudlow (NeuroImage, 2019)

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. - 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 (MIUA, 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. - 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 (MIUA, 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. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Hongwei Li 004; Ricardo Guerrero; Rozanna Meijboom; Stewart Wiseman; Adam Waldman; Jianguo Zhang 001; Daniel Rueckert; Joanna M. Wardlaw; Taku Komura (Comput. Medical Imaging Graph., 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. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Eleni Sakka; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw (J. Imaging, 2020)

Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Stephen D. Makin; Joanna M. Wardlaw; Taku Komura (Medical Image Anal., 2020)

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Rizal Maulana; Joanna M. Wardlaw; Stephen D. Makin; Henrik Skibbe (PRIME@MICCAI, 2021)

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. - 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 (MIUA, 2021)

Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review. - Ramya Balakrishnan; Maria del C. Valdés Hernández; Andrew J. Farrall (Comput. Medical Imaging Graph., 2021)

Quality control for more reliable integration of deep learning-based image segmentation into medical workflows. - Elena Williams; Sebastian Niehaus; Janis Reinelt; Alberto Merola; Paul Glad Mihai; Ingo Roeder; Nico Scherf; Maria del C. Valdés Hernández (CoRR, 2021)

A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. - 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 (NeuroImage, 2021)

Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols. - 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; et al. (Frontiers Comput. Neurosci., 2022)

Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities. - Ben Philps; Maria del C. Valdés Hernández; Miguel Bernabeu Llinares (UNSURE@MICCAI, 2023)

Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. - 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 (MIUA, 2023)

Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. - Benjamin Jin; Maria del C. Valdés Hernández; Alessandro Fontanella; Wenwen Li 003; Eleanor Platt; Paul A. Armitage; Amos J. Storkey; Joanna M. Wardlaw; Grant Mair (DEMI@MICCAI, 2024)

Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation. - Ben Philps; Maria del C. Valdés Hernández; Susana Muñoz Maniega; Mark E. Bastin; Eleni Sakka; Una Clancy; Joanna M. Wardlaw; Miguel O. Bernabeu (MIUA (1), 2024)

Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. - Jesse Phitidis; Antanas Kascenas; Maria del C. Valdés Hernández; William Whiteley; Joanna M. Wardlaw; Alison Q. O'Neil (MIUA (2), 2024)

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. - 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 (CoRR, 2024)

Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. - Jennifer M. J. Waymont; Maria del C. Valdés Hernández; José Bernal; Roberto Duarte Coello; Rosalind Brown; Francesca M. Chappell; Lucia Ballerini; Joanna M. Wardlaw (NeuroImage, 2024)

Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. - Jesse Phitidis; Alison Q. O'Neil; William Whiteley; Beatrice Alex; Joanna M. Wardlaw; Miguel O. Bernabeu; Maria del C. Valdés Hernández (Comput. Methods Programs Biomed., 2025)

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. - 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 (Medical Image Anal., 2025)

AI-based deformable hippocampal mesh reflects hippocampal morphological characteristics in relation to cognition in healthy older adults. - 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 (NeuroImage, 2025)

Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. - Benjamin Jin; Grant Mair; Joanna M. Wardlaw; Maria del C. Valdés Hernández (CoRR, 2025)