13 citations · 26 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
Automated robotic intraoperative ultrasound for brain surgery
Michael Dyck, Alistair Weld, Julian Klodmann +6
During brain tumour resection, localising cancerous tissue and delineating healthy and pathological borders is challenging, even for experienced neurosurgeons and neuroradiologists…
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery
Joao Cartucho, Alistair Weld, Samyakh Tukra +23
This paper introduces the ``SurgT: Surgical Tracking" challenge which was organised in conjunction with MICCAI 2022. There were two purposes for the creation of this challenge: (1)…
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…
Regularising disparity estimation via multi task learning with structured light reconstruction
Alistair Weld, Joao Cartucho, Chi Xu +2
3D reconstruction is a useful tool for surgical planning and guidance. However, the lack of available medical data stunts research and development in this field, as supervised deep…