Elsa D. Angelini is the co-lead of the Data Science Group in Institute of Translational Medicine and Therapeutics (ITMAT) within NIHR Imperial Biomedical Research Centre (BRC).
She is also the co-director of the Heffner Biomedical Imaging Laboratory at Columbia University and is affiliated with the Department of Data-Signal-lmage at Telecom Paris (Associate Professor / on leave). She has co-authored over 140 peer-reviewed articles and has graduated 19 PhD students.
She is a Senior Member of IEEE and was the Vice-President for Technical Activities for IEEE EMBS (2017-19).
She is or has served as an Associate Editor for IEEE T-BM, J-BHI, Open EMB, BioImaging journals, and on the steering committee of IEEE T-MI. She is or has been an elected member of several boards (EMBS AdCom, ParisTech AdCom, CNRS INS2I Scientific Advisory Board). She has been on the program committee of MICCAI’07-08-11-12, and co-chair (2016-19) of the SPIE Medical Imaging Conference on Image Processing. She was on the organizing committee of MICCAI’08 and ISBI’08-21, was he general chair of ISBI’15 in Brooklyn NY and chair of the ISBI Steering Committee (2016-18). She is/was a member (chair 2013-15) of the EMBS TC on Biomedical Imaging and Image Processing (BIIP) and of the SPS TC on BioImaging and Signal Processing (BISP).
et al., 2021, Changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic: a whole population cohort study, Bmj Open, Vol:11, ISSN:2044-6055
et al., 2021, Birthweight and patterns of postnatal weight gain in very and extremely preterm babies in England and Wales, 2008-19: a cohort study, The Lancet Child & Adolescent Health, Vol:5, ISSN:2352-4642, Pages:719-728
et al., 2021, A whole population cohort study of changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic, Bmj: British Medical Journal, ISSN:0959-535X
et al., 2021, Birthweight and Patterns of Postnatal Weight Gain in Very and Extremely Preterm Babies: A 12 Year, Whole Population Study, The Lancet Child & Adolescent Health, ISSN:2352-4642
et al., 2021, Novel subtypes of pulmonary emphysema based on spatially-informed lung texture learning: the multi-ethnic study of atherosclerosis (MESA) COPD study., Ieee Transactions on Medical Imaging, ISSN:0278-0062