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
Automated quality control of T1-weighted brain MRI scans for clinical research datasets: methods comparison and design of a quality prediction classifier.
Bhalerao G. et al, (2025), Imaging Neurosci (Camb), 3
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
The lifetime accumulation of multimorbidity and its influence on dementia risk: a UK Biobank study.
Patel R. et al, (2025), Brain Commun, 7
The lifetime accumulation of multimorbidity and its influence on dementia risk: a UK Biobank Study
Patel R. et al, (2024), medRxiv
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