Hamlyn Winter School on Surgical Imaging and Vision
Surgical Imaging and Vision is a growing area of research and an integral part of every endeavour in Robotic Surgery. It has advanced from a pre-operative planning and post-operative assessment tool to emerging platforms for intra-operative guidance and navigation. Advances in imaging have enabled the development of new modalities beyond the conventional whole-body techniques such as MR, CT and US to enable in vivo, in situ tissue characterisation by the use of biophotonics techniques that can be integrated with robotic instruments. The development of 3D vision facilitates structural-functional fusion, accurate focused energy delivery, large-area in vivo microscopic imaging, motion adaptation, visual servoing, and navigation under dynamic active constraints. All these are important for the development of new surgical robots for minimally invasive surgery (click here for a copy of the Winter School PDF flyer).
In order to apply, send your CV and a brief paragraph stating what you expect to gain from participating at the Winter School to email@example.com. Your application will be evaluated with regards to the suitability with the scope of the Winter School, at which stage you will receive an email with instructions to proceed with registration and payment to secure your participation. The deadline for applications is Monday, 7th November 2016
Schorlarships and Project Awards
Based on your application materials and personal statement, we offer up to 4 Scholarships this year to contribute towards your flight and accommodation for attending the Winter School. At the end of the Winter School, 3 project prizes will be given to teams with the most innovative design and practical solutions to the challenges set out by the clinical team.
The Winter School focuses on both technical and clinical aspects of Surgical Imaging and Vision, with invited lectures, hands-on demonstrations, workshops, and mini-projects. The School's focus is to familiarise researchers with the cutting edge research of this rapidly expanding field covering key areas of:
- Fundamentals and current state-of-the-art in surgical imaging;
- Vision algorithms for tracking, 3D scene reconstruction and surgical navigation;
- Intra-operative registration and retargeting;
- Multi-modal image fusion and real-time augmented reality systems based on inverse realism;
- Robot assisted large area microscopic imaging and mosaicing;
- Dynamic active constraints with real-time vision;
- Vision enabled surgical robot design and miniaturisation.
Participants should have a science or medical degree and typically be at a master, doctoral or postdoctoral level.