Posts

We are actively involving patients and carers to make our research on next generation neurosurgery more relevant and impactful. Early February 2022, our research scientists from King’s College London and King’s College Hospital organised a Patient and Public Involvement (PPI) meeting with support from The Brain Tumour Charity.

A great milestone today for Rémi Delaunay who passed his PhD viva with minor corrections! His thesis is entitled “Computational ultrasound tissue characterisation for brain tumour resection”.

Thanks to Pierre Gélat and Greg Slabaugh for their role examining the thesis.

The Surgical & Interventional Engineering Centre for Doctoral Training delivers translational research to transform patient pathways. Meet some of our talented PhD students is this programme who are engineering better health!

• Focus: Translational research on real-time computing for hyperspectral imaging linked with an active neurosurgery clinical study
• Line manager: Tom Vercauteren
• Industry collaborator: Hypervision Surgical
• Clinical collaborator: King’s College Hospital
• Salary: Grade 6, £38,826 - £45,649 per annum, including London Weighting Allowance

• Focus: Translational research on hyperspectral-based quantitative fluorescence imaging linked with a neurosurgery clinical study
• Line manager: Tom Vercauteren
• Clinical collaborator: King’s College Hospital
• Industry collaborator: Hypervision Surgical
• Salary: Grade 6, £38,826 - £45,649 per annum, including London Weighting Allowance

• Focus: Real-time learning-based processing of hyperspectral imaging and its integration in complex robotic systems
• Line manager: Tom Vercauteren
• Related research project: FAROS
• Salary: Grade 6, £38,826 - £45,649 or Grade 7, £46,934 - £50,919 per annum, including London Weighting Allowance

• 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

• 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

Project summary

Multi-task learning is common in deep learning, where clear evidence shows that jointly learning correlated tasks can improve on individual performances. Notwithstanding, in reality, many tasks are processed independently. The reasons are manifold:

CAI4CAI will be presenting their work at MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer Assisted Intervention, held from 27 September to 1 October 2021 as a virtual event.