Closed Position

Project overview: Title: Joint learning of stereo vision reconstruction and hyperspectral imaging upsampling for binocular surgical guidance First supervisor: Tom Vercauteren Second supervisor: Christos Bergeles Clinical Supervisor: Jonathan Shapey Start date: October 2022 Hyperspectral imaging (HSI) data can now be acquired in real-time using compact devices suitable for surgery.

Project overview: Title: Exploiting multi-task learning for endoscopic vision in robotic surgery First supervisor: Miaojing Shi Second supervisor: Tom Vercauteren Clinical Supervisor: Asit Arora Start date: October 2022 Overview of the project objective.

This project will evaluate and contribute to the optimisation of a pre-CE-mark and pre-commercial HSI medical device for intraoperative surgical guidance in brain tumour surgery. First-in-patient clinical study using the hyperspectral imaging device (spine surgery).

This project seeks to advance the state of the art in AI-based surgical tool detection and tracking by designing novel semi-supervised and weakly-supervised approaches able to achieve robust and real-time performance.

This project aims to develop and validate deep learning models to predict, from MRI and clinical data, which tumours are likely to grow and require treatment. Thestudent will be able to focus on designing novel radiomics analysis for vestibular schwannoma while exploiting an existing fully-automated AI tumour segmentation framework.