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 an Associate Editor for 2 journals: Medical Image Analysis (Elsevier) and Biomedical Imaging (Cambridge Press) - and in the past for IEEE TBME, JBHI, and Open EMB, 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’08-21-23, was 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., 2022, Quantification of lung ventilation defects on hyperpolarized MRI: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD study., Magn Reson Imaging, Vol:92, Pages:140-149
et al., 2022, Post-natal growth of very preterm neonates, Lancet Child & Adolescent Health, Vol:6, ISSN:2352-4642, Pages:E11-E11
et al., 2022, Suggestive annotation of brain MR images with gradient-guided sampling, Medical Image Analysis, Vol:77, ISSN:1361-8415, Pages:1-12
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, Vol:40, ISSN:0278-0062, Pages:3652-3662
et al., 2022, 3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT, Pages:143-150, ISSN:0302-9743