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WiM-WILL is a digital platform that provides MICCAI members to share their career pathways to the outside world in parallel to MICCAI conference. Muhammad Asad (interviewer) and Navodini Wijethilake (interviewee) from our lab group participated in this competition this year and secured the second place. Their interview was focused on overcoming challenges in research as a student. The link to the complete interview is available below and on youtube.

• Title: Artificial intelligence-driven management of brain tumours
• Project ID: BE-MI2023_15
• First supervisor: Jonathan Shapey
• Second supervisor: Tom Vercauteren
• Start date: October 2023
• Application deadline: Wednesday 9 November 2022, 1:00 PM (GMT)

We are working to develop new technologies that combine a new type of camera system, referred to as hyperspectral, with Artificial Intelligence (AI) systems to reveal to neurosurgeons information that is otherwise not visible to the naked eye during surgery. Two studies are currently bringing this “hyperspectral” technology to operating theatres. The NeuroHSI study uses a hyperspectral camera attached to an external scope to show surgeons critical information on tissue blood flow and distinguishes vulnerable structures which need to be protected. The NeuroPPEye study is developing this technology adapted for surgical microscopes, to guide tumour surgery.

Yijing has been awarded the prestigious Royal Academy of Engineering Research Fellowship for her research in the development of tools to help neurosurgeons during surgery.

• Focus: Translational research in biomedical optics for hyperspectral imaging based quantitative fluorescence linked with an in-patient 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

Recent release of MONAI Label v0.4.0 extends support for multi-label scribbles interactions to enable scribbles-based interactive segmentation methods.

CAI4CAI team member Muhammad Asad contributed to the development, testing and review of features related to scribbles-based interactive segmentation in MONAI Label.

The FAROS consortium had a fantastic and highly productive time working at the labs of Balgrist Campus AG and the operating room at Balgrist University Hospital this week.

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.