1 citations · 1 across the 4 of their papers we have counts for
4 papers
Self-Supervised Ultrasound-Video Segmentation with Feature Prediction and 3D Localised Loss
Edward Ellis, Robert Mendel, Andrew Bulpitt +3
Acquiring and annotating large datasets in ultrasound imaging is challenging due to low contrast, high noise, and susceptibility to artefacts. This process requires significant tim…
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation
Edward Ellis, Andrew Bulpitt, Nasim Parsa +2
Ultrasound (US) imaging is clinically invaluable due to its noninvasive and safe nature. However, interpreting US images is challenging, requires significant expertise, and time, a…
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy
Pedro Esteban Chavarrias Solano, Andrew Bulpitt, Venkataraman Subramanian +1
Colonoscopy screening is the gold standard procedure for assessing abnormalities in the colon and rectum, such as ulcers and cancerous polyps. Measuring the abnormal mucosal area a…
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Rebecca S. Stone, Pedro E. Chavarrias-Solano, Andrew J. Bulpitt +2
While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets. Variability due to appea…