353 citations · 360 across the 2 of their papers we have counts for
4 papers
Hetero-modal learning and corruption-resistant hetero-modal inference for joint segmentation of white matter hyperintensities and ischaemic stroke lesions in MRI
Jesse Phitidis, William N. Whiteley, Joanna M. Wardlaw +3
White matter hyperintensities (WMH) and ischaemic stroke lesions (ISL) are visually confounding, co-occurring pathologies that require large, diverse datasets for robust deep learn…
Multi-task learning for the automatic grading of enlarged perivascular space burden using MRI
Jesse Phitidis, William N. Whiteley, Joanna M. Wardlaw +11
Enlarged perivascular spaces (PVS) visible in brain magnetic resonance imaging (MRI) are increasingly thought to be linked to poor brain health. PVS are elongated structures of les…
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles, Liang Chen, Ricardo Guerrero +7
One of the biggest issues facing the use of machine learning in medical imaging is the lack of availability of large, labelled datasets. The annotation of medical images is not onl…
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis
Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdes Hernandez +11
INTRODUCTION: Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear. METHODS: We systematically reviewed t…