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We wereÌývery pleased to welcome the new i4health CDT 21-22 cohort whoÌýjoined us at the end of September to start their researchÌýin 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,Ìýmet with our current students and heard about some of the exciting research theyÌýare 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.

What a lovely sight in the beautiful setting of Regent’s Park. So pleased to see many of the students yesterday at the first in-person event of in 18 months, and to meet those I haven’t seen in person before!

— Gary Zhang (@garyhuizhang)

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

Prof. Dr. Marleen de BruijneÌýis professor of AI in medical image analysis at Erasmus MC, The Netherlands, and at the University of Copenhagen, Denmark. ÌýShe received an MSc degree in physics (1997) andÌýPhD degree in medical imaging (2003)Ìýfrom Utrecht University. ÌýFrom 2003 to 2006 she was assistant professor and later associate professor at the IT University of Copenhagen, Denmark. ÌýProf.ÌýdeÌýBruijne 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. ÌýShe has (co)-supervised 30 PhD students. ÌýShe is program chair of the international conferences MICCAI (2021) and MIDL (2021,Ìý2020) and is a regular member of the program committeesÌýof MIDL, MICCAI, SPIE Medical Imaging, ISBI, and IPMI. ÌýShe is chair of the EMBS Technical Committee on Biomedical Imaging and Image Processing andÌýmember 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 ofÌýMachinEÌýLearning for BiomedicalÌýimAging, and Frontiers in ICT. ÌýHer research is in machine learning for quantitative image analysis and computer aided diagnosis in different application areas.ÌýÌý

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