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UPDATE: We are delighted to announce that EPSRC have funded our CDT for five more years under the new name EPSRC Centre for Doctoral Training in Intelligent Integrated Imaging in Healthcare (i4health). Visit our new website here.

12 Jul

Identifying automated CT features predicting outcome in cystic fibrosis

by Ms Rebecca Holmes
Allocated Projects

A PhD studentship (4-year funding – MRes + Phd, with a tax free stipend of £16,851) sponsored by the Cystic Fibrosis Trust is available in the UCL Centre for Medical Image Computing The successful candidate will join the UCL CDT in Medical Imag...

27 Jun

Using machine learning to quantify tumour microstructure non-invasively with diffusion-weighted MRI

by Georgina Cade
Allocated Projects

Biomarkers of tumour grade, prognosis and treatment response in cancer are critically required in the clinic. This project will develop new, non-invasive histology techniques, based on diffusion-weighted magnetic resonance imaging (DW-MRI), that ...

04 Jun

Identifying automated CT features predicting outcome in cystic fibrosis

by Georgina Cade
Named Projects

A PhD studentship (4 year funding with a tax free stipend of £16,851) sponsored by the Cystic Fibrosis Trust is available in the UCL Centre for Medical Image Computing. The successful candidate will join the UCL CDT in Medical Imaging cohort and ...

03 May

Visulytix: Our journey from idea to industry leader

by Georgina Cade
News

Abstract: Visulytix is a tech company which was founded about 2 years ago with the goal of bringing cutting edge decision support technology to Ophthalmology. We’ve seen the market, the competition and the regulatory landscape change significa...

30 Apr

Identifying early and progressive phenotypes of fibrosing lung disease

by Georgina Cade
Named Projects

A PhD studentship (4 year funding with a tax free stipend of £17,777) sponsored by GlaxoSmithKline is available in the UCL Centre for Medical Image Computing. The successful candidate will join the UCL CDT in Medical Imaging cohort and benefit ...

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