2 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI
Jesse Phitidis, Alison Q. Smithard, William N. Whiteley +3
White matter hyperintensities (WMH) and ischaemic stroke lesions (ISL) are key imaging biomarkers of cerebral small vessel disease (SVD) detectable on magnetic resonance imaging (M…
Training a high-performance retinal foundation model with half-the-data and 400 times less compute
Justin Engelmann, Miguel O. Bernabeu
Artificial Intelligence in medicine is traditionally limited by the lack of massive training datasets. Foundation models, pre-trained models that can be adapted to downstream tasks…