Gareth J. Barker

Nonlinear functional mapping of the human brain

The field of neuroimaging has truly become data rich, and novel analytical methods capable of gleaning meaningful information from large stores of imaging data are in high demand. Those methods...

Convolutional neural-network-based ordinal regression for brain age prediction from MRI scans

Distributed Anatomical Brain Connectivity Derived from Diffusion Tensor Imaging

Nonlinear Smoothing of MR Images Using Approximate Entropy - A Local Measure of Signal Intensity Irregularity

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)

Automated triaging of head MRI examinations using convolutional neural networks

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study

A self-supervised text-vision framework for automated brain abnormality detection

Artificial neural networks trained on large, expert-labelled datasets are considered state-of-the-art for a range of medical image recognition tasks. However, categorically labelled datasets are...