Posts

Join us for the TRABIT conference (7-10 Sept 2021) with outstanding speakers and fun networking events. Registration is free but mandatory. TRABIT conference flyer.

Project overview: Title: Exploiting multi-task learning for endoscopic vision in robotic surgery First supervisor: Miaojing Shi Second supervisor: Tom Vercauteren Restrictions: Open only to candidates eligible for Home fee status Host department: Informatics Start date: October 2021 Overview of the project objective.

Join us for the Surgical & Interventional Engineering Summer School designed for postgraduate students and research professionals from academia and industry to learn more from and interact with scientists from the international community.

CAI4CAI members are contributing to guest editing the Medical Image Analysis Special Issue on Explainable and Generalizable Deep Learning Methods for Medical Image Computing. The final submission dealine is on December 1, 2021 but papers will be reviewed as they arrive.

CAI4CAI members are leading the organization of the cross-modality Domain Adaptation challenge (crossMoDA) for medical image segmentation Challenge, which runs as an official challenge during the Medical Image Computing and Computer Assisted Interventions (MICCAI) 2021 conference.

King’s College London, School of Biomedical Engineering & Imaging Sciences and Moon Surgical announced a new strategic partnership to develop Machine Learning applications for Computer-Assisted Surgery, which aims to strengthen surgical artificial intelligence (AI), data and analytics, and accelerate translation from King’s College London research into clinical usage.

Yijing will develop a 3D functional optical imaging system for guiding brain tumour resection. Yijing presenting her work at New Scientist Live. She will engineer two emerging modalities, light field and multispectral imaging into a compact device, and develop novel image reconstruction algorithm to produce and display high-dimensional images.

Miguel will collaborate with Fang-Yu Lin and Shu Wang to create activities to engage school students with ultrasound-guidance intervention and fetal medicine. In the FETUS project, they will develop interactive activities with 3D-printed fetus, placenta phantoms as well as the integreation of a simulator that explain principles of needle enhancement of an ultrasound needle tracking system.

A great milestone today for Luis Garcia Peraza Herrera who passed his PhD viva with minor corrections! His thesis is entitled “Deep Learning for Real-time Image Understanding in Endoscopic Vision”.

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).