UCL provides a world-class environment in medical imaging.
Ranked as a top-10 university in the world (QS World University Rankings), UCL is ideally placed to deliver i4health’s distinctive cross- disciplinary training. Trainees will benefit from a world-class research environment for medical imaging, as well as for big data analytics and AI, robotics and HCI, under the tutelage of a critical mass of supervisors with internationally leading track records of research excellence across engineering, physical sciences and clinical domains.
UCL's expertise in medical imaging
UCL was ranked 1st in the UK for most highly cited papers in medical imaging by the 2016 RAND assessment.
The Wellcome Trust Centre for Neuroimaging at UCL (incorporating the Leopold Muller Functional Imaging Laboratory and the Wellcome Department of Imaging Neuroscience) is an interdisciplinary centre for neuroimaging excellence. Their goal is to understand how thought and behaviour arise from brain activity, and how such processes break down in neurological and psychiatric disease.
Their aim is to make an impact on key medical challenges facing 21st century society and to perform world leading research on medical imaging, image-analysis problems and applications.
The Centre for Advanced Biomedical Imaging is a multidisciplinary research Centre for biomedical imaging. Our aim is to develop novel imaging techniques to improve health and well-being.
The UCL Centre for Medical Imaging (CMI) is a multidisciplinary group with an extensive track record of achieving substantial competitive research funding and publishing the results in high impact indexed journals. We focus on medical/clinical imaging and our portfolio spans cutting edge translational “first in (hu)man” interventions right through to leading pragmatic multi-centre trials of emerging and established imaging techniques within the NHS that ultimately change clinical practice.
UCL's expertise in enabling technologies like AI, machine learning, big data, robotics and sensing, human-computer interactions
UCLIC is a world leading Centre of Excellence in Human-Computer Interaction teaching and research, studying interactions between people and technology, drawing on the best scientific traditions in Computer Science and Human Sciences, and working collaboratively with the research community and industry.
The AI Centre carries out foundational research in AI. As we transition to a more automated society, the core aim of the Centre is to create new AI technologies and advise on the use of AI in science, industry and society. The Centre brings together researchers with a shared interest in fundamental challenges in Machine Vision, Machine Learning, Machine Reading, Machine Action, Interpretation and Knowledge Representation.
The Farr Institute was a UK-wide research collaboration involving 21 academic institutions and health partners in England, Scotland and Wales. Publically funded by a consortium of ten organisations, led by the Medical Research Council, between 2013 and 2018, the Institute was committed to delivering high-quality, cutting-edge research using ‘big data’ to advance the health and care of patients and the public.
By combining the strength of engineering and clinical sciences at UCL, WEISS aims to ensure that innovative engineering solutions are reaching the clinic to benefit patients. The Centre will create an intuitive and highly personalised surgical platform that enables more precise, less invasive procedures.
The IHE transforms lives through digital and medical technologies. Their researchers are working at the forefront of advances in healthcare engineering, pushing the boundaries in areas where cutting-edge engineering innovation has the potential to transform patient care.