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. The flyer of the
Winter School can be downloaded from here.
Application Process
In order to apply, send your CV and a brief
paragraph stating what you expect to gain from participating at the
Winter School to hamlynwinterschool@gmail.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, 30th October 2017.
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.
Topics Covered
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.
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