Graphic version of this page | Change how these pages look

Journals Library

NHS NIHR - National Institute for Health and Care Research
Advanced


Twitter
Facebook
LinkedIn
Email

Home >> Research Projects >> Efficacy and Mechanism Evaluation >> 13/122/01

Project Active


EME - 13/122/01

Development and evaluation of machine learning methods in whole body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer. (MAchine Learning In whole Body Oncology, MALIBO)

Project title: Development and evaluation of machine learning methods in whole body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer. (MAchine Learning In whole Body Oncology, MALIBO)

Chief investigator: Professor Andrea Rockall
[Image - ORCID logo]

Contractor: Imperial College London

Co-investigators: Dr Ben Glocker, Dr Nishat Bharwani
[Image - ORCID logo], Dr Sandy Beare, Dr Shonit Punwani, Dr Xinxue Liu
[Image - ORCID logo], Professor Daniel Rueckert, Professor Dow-Mu Koh
[Image - ORCID logo], Professor Eric Aboagye, Professor Stuart Taylor
[Image - ORCID logo], Professor Vicky Goh
[Image - ORCID logo].


Links to project documentation

The links and documents below are related to this research and are added as and when they are produced over the life of the project. The information is provided by the researchers and some may have undergone varying editorial, production and publication models, which differ to NIHR Journals Library reports. Links are to both internal (NIHR) and external websites – the NIHR is not responsible for the content of external websites.

Background & Research Questions

Why the research is being done and what is being asked


Methods

How the research is being done


Publications & Outputs

What the research produced


Outcomes & Impact

What happened as a result of the research


© NIHR 2024


If you would like to receive a notification when this project is updated, please submit your email address below. This will also notify you when the Journals Library report is published.