13 citations · 15 across the 5 of their papers we have counts for
5 papers
Confidence-Based Annotation Of Brain Tumours In Ultrasound
Alistair Weld, Luke Dixon, Alfie Roddan +3
Purpose: An investigation of the challenge of annotating discrete segmentations of brain tumours in ultrasound, with a focus on the issue of aleatoric uncertainty along the tumour…
RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging
Tobias Czempiel, Alfie Roddan, Maria Leiloglou +5
This study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porci…
Towards Safe and Collaborative Robotic Ultrasound Tissue Scanning in Neurosurgery
Michael Dyck, Alistair Weld, Julian Klodmann +6
Intraoperative ultrasound imaging is used to facilitate safe brain tumour resection. However, due to challenges with image interpretation and the physical scanning, this tool has y…
Identifying visible tissue in intraoperative ultrasound: a method and application
Alistair Weld, Luke Dixon, Giulio Anichini +4
Purpose: Intraoperative ultrasound scanning is a demanding visuotactile task. It requires operators to simultaneously localise the ultrasound perspective and manually perform sligh…
Collaborative Robotic Ultrasound Tissue Scanning for Surgical Resection Guidance in Neurosurgery
Alistair Weld, Michael Dyck, Julian Klodmann +5
The aim of this paper is to introduce a robotic platform for autonomous iUS tissue scanning to optimise intraoperative diagnosis and improve surgical resection during robot-assiste…