Clinical Fellow in Cardiac MRI
We are looking for a committed and highly motivated doctor to run
clinical cardiac MRI lists and report on clinical scans under the
supervision of the four consultants. The clinical activities will
include stress perfusion, cardiomyopathy, paediatric and adult
congenital and vascular cases. There is also opportunity within the post
to develop a research interest and undertake a research project.
This is a unique opportunity to join our highly dynamic Cardiac MRI team within our large tertiary centre. The successful applicant will be a doctor wanting to develop a sub-specialty interest in cardiac MRI and will work with four consultants and the current clinical fellows that contribute to the cardiac imaging programme of the Bristol Heart Institute (BHI). The BHI is a state-of-the art £57m centre dedicated to cardiology, cardiac surgery, cardiac imaging and cardiovascular research.
We moved into state of the art facilities in the Bristol Heart Institute in 2009 and, as well as having high-throughput coronary intervention and an extensive cardiac surgery program, we are the regional centre for Adult Congenital Heart Disease. We are also a tertiary unit for structural intervention and electrophysiology. Currently we have an expanding TAVI service and are one of a few units in the country that have implanted Mitra-Clips. Bristol has recently been voted the most liveable city in England and lies at the gateway to the beautiful regions of Devon, Cornwall and Wales.
The post is available from March 2019 for 12 months in the first instance.
For further enquiries or to arrange a visit please contact Dr Mandie Townsend, Clinical Director of the Bristol Heart Institute by contacting Ms Julie Georgewill, Secretary, via main hospital switchboard 0117 932 000.
The application deadline: November 20, 2018.
More information can be found HERE.
Big Data for Imaging
Radiomics, Deep Learning and Distributed Learning - a hands-on course
December 9-12, 2018
This course on Big Data for Imaging is a unique opportunity to join a community of leading edge practitioners in the field of Artificial Intelligence for Medical Imaging. During this 4-days immersive course, you will be able to attend lectures and workshops from world-class experts in Radiomics, Deep Learning and Distributed Learning. You can also bring your own curated dataset with you (open source or anonymized and cleared by ethics). If requested, we will perform “data matching” for attendees to facilitate external cross validation. There will be ample opportunity to network with faculty members, other participants and companies.
Our starting point is an overview of the history of Medical Imaging Artificial Intelligence, we then discuss the success stories but also the pitfalls. Next, we will review the process from data acquisition, access to the DICOM objects, features extraction, machine learning (including new developments with Deep Learning) analysis and validation.
In the final part of the course, we will discuss the current challenges and directions of research in the field; in particular, the necessity of dealing with large annotated data sets, the FAIR principles and the distributed learning approach. The course will be divided into lectures during the morning and hands on assignments in the afternoon. Participants are encouraged to come with their data and we will organize (if possible) matching data for validation from other participants on the course.