This talk will overview current progress in imaging phenomics and in silico clinical trials that make use of precision imaging, i.e. the use of advanced image-based analysis and modelling rendering more descriptive, integrative and predictive imaging. We illustrate how the convergence of computational image analytics and modelling methods that process large health databases open new challenges and opportunities for the MICCAI and VCBM communities. The speaker will introduce various examples from his research lab spanning cerebrovascular, cardiovascular and bone diseases.
Biosketch
Prof Frangi is Diamond Jubilee Chair in Computational Medicine at the University of Leeds, Leeds, UK, with join appointments at the Schools of Computing and Medicine. He leads the Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB, www.cistib.org). His main research interests lay at the crossroad of medical image analysis and modelling with emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models). He has particular interest in statistical methods applied to population imaging phenomics and in silico clinical trials. His highly interdisciplinary work has been translated to the areas of cardiovascular, musculoskeletal and neuro sciences. He been principal investigator or scientific coordinator of over 25 national and European projects, both funded by public and private bodies. Prof Frangi has edited several books, published 7 editorial articles and over 200 journal papers in key international journals of his research field and more than over 230 book chapters and international conference papers with an h-index 53 and ca. 19,400 citations according to Google-Scholar. He is also the General Chair of MICCAI 2018 held in Granada, Spain.