UCL EPSRC Centre for Doctoral Training in Intelligent Integrated Imaging in Healthcare


Welcome to the new i4health CDT cohort 21-22

13 October 2021

Welcome to the new i4health CDT cohort


We were very pleased to welcome the new i4health CDT 21-22 cohort who joined us at the end of September to start their research in the Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare. During the induction event, the new students got acquainted with the MRes & PhD programme structure, met with our current students and heard about some of the exciting research they are currently working on.

New and current students also had the chance to meet up face to face in Regents Park for our induction social event, a lovely way to get to know each other over a pizza and drinks.



Our induction events were concluded by an inspiring and fascinating keynote lecture given by Prof Marleen de Bruijne. 


Prof. Dr. Marleen de Bruijne is professor of AI in medical image analysis at Erasmus MC, The Netherlands, and at the University of Copenhagen, Denmark.  She received an MSc degree in physics (1997) and PhD degree in medical imaging (2003) from Utrecht University.  From 2003 to 2006 she was assistant professor and later associate professor at the IT University of Copenhagen, Denmark.  Prof. de Bruijne has (co-)authored over 200 peer-reviewed full papers in international conferences and journals, holds 7 patents, and is the recipient of the prestigious NWO-VENI, NWO-VIDI, NWO-VICI, and DFF-YDUN awards.  She has (co)-supervised 30 PhD students.  She is program chair of the international conferences MICCAI (2021) and MIDL (2021, 2020) and is a regular member of the program committees of MIDL, MICCAI, SPIE Medical Imaging, ISBI, and IPMI.  She is chair of the EMBS Technical Committee on Biomedical Imaging and Image Processing and member of the MICCAI board, the ISBI Steering Committee, the Information Processing in Medical Imaging (IPMI) board, and the editorial boards of Medical Image Analysis, Journal of MachinE Learning for Biomedical imAging, and Frontiers in ICT.  Her research is in machine learning for quantitative image analysis and computer aided diagnosis in different application areas.  

We wish the new cohort a very warm welcome and look forward to them starting their own inspiring research soon.