Grants
Kheiron Medical Technologies / RAEng Research Chair in Safe Deployment of Medical Imaging AI
March 2023 - February 2028
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London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare (104691)
February 2019 - April 2022
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Next Generation Machine Intelligence for Medical Image Representation and Analysis (ERC-StG-2017 757173)
February 2018 - January 2024
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DeepMedic – An Easy-to-Use Deep Learning Image Segmentation Tool for Clinical Research (EP/R511547/1)
April 2019 - March 2020
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HeartFlow-Imperial Research Collaboration
December 2018 - January 2027
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Automated Fetal and Neonatal Movement Assessment for Very Early Health Assessment (EP/S013687/1)
April 2019 - March 2022
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MALIMAR – Machine Learning In Myeloma Response (16/68/34)
July 2018 - September 2021
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Efficient and Robust Assessment of Cardiovascular Disease Using Machine Learning and Ultrasound Imaging (EP/R005982/1)
February 2018 - July 2021
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Intelligent and Personalised Risk Stratification and Early Diagnosis of Lung Cancer (EP/P023509/1)
October 2017 - March 2021
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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
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EPSRC-NIHR HTC Partnership Award ‘Plus’: Medical Image Analysis Network (EP/N026993/1)
October 2016 - March 2020
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Optimising diagnosis and prediction of outcome of spinal decompression surgery in older people (R401/0215)
October 2015 - September 2017
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Repurposing Low-Cost Consumer Technology for Motion Correction in Dementia Neuroimaging
July 2015 - December 2016
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MALIBO – Machine Learning in Whole Body Oncology (13/122/01)
February 2015 - April 2020
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Network Dysfunction following Paediatric Traumatic Brain Injury
February 2016 - January 2019
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Fast and fully automatic segmentation of magnetic resonance images for computer-aided diagnosis
September 2014 - August 2015
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Augmented reality and advanced visualization of medical images for education, training and interventional planning
October 2014 - September 2015
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Optimising diagnosis and prediction of outcome of spinal surgery using diffusion tensor imaging and machine learning
October 2014 - September 2015
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