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Grants

Optimising diagnosis and prediction of outcome of spinal decompression surgery in older people (R401/0215)

October 2015 - September 2017

Principal Investigator: Paul Strutton
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Repurposing Low-Cost Consumer Technology for Motion Correction in Dementia Neuroimaging

July 2015 - December 2016

Principal Investigator: Roger Gunn
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Augmented reality and advanced visualization of medical images for education, training and interventional planning

November 2014 - October 2015

Principal Investigator: Ben Glocker
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QuantifyTBI: A Machine Learning Approach to Automatic Segmentation and Quantification of Lesions in Traumatic Brain Injuries (EP/N023668/1)

June 2016 - May 2017

Principal Investigator: Ben Glocker
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EPSRC-NIHR HTC Partnership Award ‘Plus’: Medical Image Analysis Network (EP/N026993/1)

October 2016 - September 2019

Principal Investigator: Alison Noble (Oxford University)
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Network Dysfunction following Paediatric Traumatic Brain Injury

February 2016 - January 2019

Principal Investigator: David Sharp
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Next Generation Machine Intelligence for Medical Image Representation and Analysis (ERC-StG-2017 757173)

February 2018 - January 2023

Principal Investigator: Ben Glocker
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Optimising diagnosis and prediction of outcome of spinal surgery using diffusion tensor imaging and machine learning

October 2014 - September 2015

Principal Investigator: Paul Strutton
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Fast and fully automatic segmentation of magnetic resonance images for computer-aided diagnosis

September 2014 - August 2015

Principal Investigator: Daniel Rueckert
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Efficient and Robust Assessment of Cardiovascular Disease Using Machine Learning and Ultrasound Imaging (EP/R005982/1)

February 2018 - January 2021

Principal Investigator: Daniel Rueckert
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MALIBO – Machine Learning in Whole Body Oncology (13/122/01)

February 2015 - July 2018

Principal Investigator: Andrea Rockall
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Intelligent and Personalised Risk Stratification and Early Diagnosis of Lung Cancer (EP/P023509/1)

July 2017 - June 2020

Principal Investigator: Julia Schnabel (King's College)
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