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Publications

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Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.

Sghirripa S. et al, (2025), Hum Brain Mapp, 46

Prevalence of dementia risk factors in the Oxford Brain Health Clinic.

Blane J. et al, (2025), Sci Rep, 15

From Big Data to the Clinic: Methodological and Statistical Enhancements to Implement the UK Biobank Imaging Framework in a Memory Clinic.

Gillis G. et al, (2025), Hum Brain Mapp, 46

Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI.

Sundaresan V. et al, (2025), Eur Radiol Exp, 9

Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing

Kalabizadeh H. et al, (2025), 15266 LNCS, 155 - 165

Prevalence of dementia risk factors in a memory clinic setting: The Oxford Brain Health Clinic

Blane J. et al, (2024)

Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing

Kalabizadeh H. et al, (2024)

Evaluating Traditional, Deep Learning, and Subfield Methods for Automatically Segmenting the Hippocampus from MRI

Sghirripa S. et al, (2024)

From Big Data to the clinic: methodological and statistical enhancements to implement the UK Biobank imaging framework in a memory clinic

Gillis G. et al, (2024)

Automated quality control of T1-weighted brain MRI scans for clinical research: methods comparison and design of a quality prediction classifier

Bhalerao G. et al, (2024)

Brain magnetic resonance imaging software to support dementia diagnosis in routine clinical practice: a barrier to adoption study in the National Health Service (NHS) England

Griffanti L. et al, (2024)

Neural correlates of successful emotion recognition in healthy elderly: a multimodal imaging study.

Orlando I. et al, (2023), Soc Cogn Affect Neurosci, 18

BIANCA-MS: An optimized tool for automated multiple sclerosis lesion segmentation.

Gentile G. et al, (2023), Hum Brain Mapp, 44, 4893 - 4913

Oxford brain health clinic: protocol and research database.

O'Donoghue MC. et al, (2023), BMJ Open, 13

A comparison of lesion mapping analyses based on CT versus MR imaging in stroke.

Moore MJ. et al, (2023), Neuropsychologia, 184

Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.

Sundaresan V. et al, (2023), Front Neuroinform, 17

Longitudinal Analysis of White Matter Lesions in Multiple Sclerosis using Mixture Modeling at 7 Tesla

Donnay C. et al, (2023), MULTIPLE SCLEROSIS JOURNAL, 29, 837 - 838

Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria

Bozek J. et al, (2023), NeuroImage, 119864 - 119864

Shared imaging markers of fatigue across multiple sclerosis, aquaporin-4 antibody neuromyelitis optica spectrum disorder and MOG antibody disease.

Camera V. et al, (2023), Brain Commun, 5

A comparison of lesion mapping analyses based on CT versus MR imaging in stroke

Moore M. et al, (2022)

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