353 citations · 513 across the 3 of their papers we have counts for
4 papers
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…
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss
Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton +5
Dynamic contrast-enhanced (DCE) MRI is an evolving imaging technique that provides a quantitative measure of pharmacokinetic (PK) parameters in body tissues, in which series of T1-…
Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering
Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdes-Hernandez +4
Perivascular Spaces (PVS) are a recently recognised feature of Small Vessel Disease (SVD), also indicating neuroinflammation, and are an important part of the brain's circulation a…