Publications

@article{humphreys_protocol_2019,

title = {A protocol for precise comparisons of small vessel disease lesions between ex vivo magnetic resonance imaging and histopathology},

author = {Catherine A Humphreys and Maurits A Jansen and Susana Muñoz-Maniega and Víctor González-Castro and Cyril Pernet and Ian J Deary and Rustam Al-Shahi Salman and Joanna M Wardlaw and Colin Smith},

url = {https://journals.sagepub.com/doi/full/10.1177/1747493018799962},

year  = {2019},

date = {2019-01-01},

journal = {International Journal of Stroke},

volume = {14},

number = {3},

pages = {310–320},

abstract = {This study aims to improve understanding of the pathophysiology of human sporadic cerebral small vessel disease by correlating neuroimaging findings with neuropathological features. The research involves collecting histological samples from brain regions commonly affected by the disease, scanning them using 7-tesla MRI, and processing them for histology. The primary goal is to define the cellular characteristics of small vessel disease lesions and compare them to neuroimaging data. Secondary outcomes focus on abnormalities in protein expression and creating a reproducible protocol for correlating radiological and histological findings, which could apply to other neurological conditions in the future.},

note = {Publisher: SAGE Publications Sage UK: London, England},

keywords = {histology, neuroimaging, pathophysiology, small vessel disease},

pubstate = {published},

tppubtype = {article}

}

@article{ortiz-ramon_identification_2019,

title = {Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images},

author = {Rafael Ortiz-Ramón and Maria del Carmen Valdés-Hernández and Victor González-Castro and Stephen Makin and Paul A Armitage and Benjamin S Aribisala and Mark E Bastin and Ian J Deary and Joanna M Wardlaw and David Moratal},

url = {https://www.sciencedirect.com/science/article/pii/S0895611119300278},

year  = {2019},

date = {2019-01-01},

journal = {Computerized Medical Imaging and Graphics},

volume = {74},

pages = {12–24},

abstract = {This study investigates using radiomics to detect stroke lesions in brain MRI scans, which are often missed by automated methods. Analyzing 1800 MRI scans, the research found that radiomic features could identify stroke lesions with accuracy between 0.7 and 0.83 AUC. Age was the clinical factor most correlated with accurate detection. The study suggests that incorporating texture features into deep learning models could improve stroke lesion detection in MRI scans.},

note = {Publisher: Pergamon},

keywords = {Radiomics, small vessel disease, Stroke, texture analysis, white matter hyperintensities},

pubstate = {published},

tppubtype = {article}

}

@article{pellegrini_machine_2018,

title = {Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: a systematic review},

author = {Enrico Pellegrini and Lucía Ballerini and María del Carmen Valdés-Hernández and Francesca M Chappell and Victor González-Castro and Devasuda Anblagan and Samuel Danso and Susana Muñoz-Maniega and Dominic Job and Cyril Pernet},

url = {https://www.sciencedirect.com/science/article/pii/S2352872918300447},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring},

volume = {10},

pages = {519–535},

abstract = {Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear.},

note = {Publisher: No longer published by Elsevier},

keywords = {Cerebrovascular Disease, Classification, Dementia, machine learning, MRI, Pathological Aging, segmentation, small vessel disease},

pubstate = {published},

tppubtype = {article}

}

@article{gonzalez-castro_reliability_2017,

title = {Reliability of an automatic classifier for brain enlarged perivascular spaces burden and comparison with human performance},

author = {Víctor González-Castro and María del Carmen Valdés-Hernández and Francesca M Chappell and Paul A Armitage and Stephen Makin and Joanna M Wardlaw},

url = {https://portlandpress.com/clinsci/article/131/13/1465/71656/Reliability-of-an-automatic-classifier-for-brain},

year  = {2017},

date = {2017-01-01},

journal = {Clinical Science},

volume = {131},

number = {13},

pages = {1465–1481},

abstract = {Enlarged perivascular spaces (PVS) in the brain are associated with small vessel disease, poor cognition, and hypertension. This study proposes a fully automated method using a support vector machine (SVM) to classify PVS burden in the basal ganglia (BG) as low or high from T2-weighted MRI images. Three feature extraction techniques were evaluated, with the bag of visual words (BoW) approach achieving the highest accuracy (81.16%). The classifier's performance was comparable to that of trained human observers, and its predictions were clinically meaningful, as indicated by high AUC values (0.90–0.93). These findings suggest that automated PVS burden assessment could serve as a valuable clinical tool.},

note = {Publisher: Portland Press Ltd.},

keywords = {Bag of Visual Words, brain MRI, Discrete Wavelet Transform, Local Binary Patterns, machine learning, perivascular spaces, small vessel disease, support vector machine},

pubstate = {published},

tppubtype = {article}

}

@article{gonzalez-castro_application_2017,

title = {Application of texture analysis to study small vessel disease and blood–brain barrier integrity},

author = {Víctor González-Castro and María del Carmen Valdés-Hernández and Francesca M Chappell and Eleni Sakka and Stephen Makin and Paul A Armitage and William H Nailon and Joanna M Wardlaw},

url = {https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2017.00327/full},

year  = {2017},

date = {2017-01-01},

journal = {Frontiers in neurology},

volume = {8},

pages = {327},

abstract = {We evaluate the alternative use of texture analysis for evaluating the role of blood–brain barrier (BBB) in small vessel disease (SVD).},

note = {Publisher: Frontiers Media SA},

keywords = {blood brain barrier, FLAIR Imaging, MRI, neuroimaging, small vessel disease},

pubstate = {published},

tppubtype = {article}

}