Augmented Reality (AR) is considered to be a promising technology for the guidance of
laparoscopic liver surgery. By overlaying pre-operative 3D information of the liver and …

Background: To investigate the effectiveness of contrastive learning, in particular SimClr, in
reducing the need for large annotated ultrasound (US) image datasets for fetal standard …

Objective: Intraoperative liver deformation poses a considerable challenge during liver
surgery, causing significant errors in image-guided surgical navigation systems. This study …

Supervised machine learning-based medical image computing applications necessitate
expert label curation, while unlabelled image data might be relatively abundant. Active …

The paper introduces a novel autonomous robot ultrasound (US) system targeting liver
follow-up scans for outpatients in local communities. Given a computed tomography (CT) …

Fan-Slicer (https://github. com/UCL/fan-slicer) is a Python package that enables the fast
sampling (slicing) of 2D ultrasound-shaped images from a 3D volume. To increase sampling …

Performance of medical imaging tasks is strongly associated with image quality. Imaging
defects, may, however, impact different tasks differently eg, an artefact covering a lesion in …

Medical imaging is important to healthcare because it can be used for early illness
diagnosis, staging, and management, as well as for choosing the most appropriate treatment …