Predavanje prof. dr. Alejandra F. Frangija

Datum objave: 11.06.2018

Katedra za biomedicinsko tehniko UL FE vas vljudno vabi na predavanje z naslovom: Image-based cerebrovascular modeling for advanced diagnosis and interventional planning. Predaval bo prof. dr. Alejandro F. Frangi (University of Sheffield, Velika Britanija). Predavanje bo v sredo, 13. 6. 2018, ob 8.45 uri v predavalnici LST-A4. Vljudno vabljeni!


Current technological progress in multidimensional and multimodal acquisition of biomedical data enables detailed investigation of the individual health status that should underpin improved patient diagnosis and treatment outcome. However, the abundance of biomedical information has not always been translated directly in improved healthcare. The Virtual Physiological Human aims at developing the framework and tools that would ultimately enable such integrated investigation of the human body and rendering methods for personalized and predictive medicine. This lecture will focus on and illustrate two specific aspects: how the integration of biomedical imaging and sensing, signal and image computing and computational physiology are essential components in addressing this personalized, predictive and integrative healthcare challenge, and how such principles could be put at work to address specific clinical questions in the cardiovascular domain.



Prof. Alejandro (Alex) Frangi obtained his undergraduate degree in telecommunications engineering from the Technical University of Catalonia and his PhD in medicine from Utrecht University in 2001. He leads the Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) at The University of Sheffield, UK, with his research interests being at the crossroad of medical image analysis and modelling with emphasis on machine learning and computational physiology. He has been principal investigator or scientific coordinator of over 25 national and European projects, 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. 19,200 citations according to Google Scholar, prof. Frangi is an IEEE Fellow (2014), EAMBES Fellow (2015), SPIE Member, SIAM Member, MICCAI Member, and elected member to the Board of Directors of the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society (2014-2018). He also serves in the Scientific Advisory Board of the European Institute for Biomedical Imaging Research (EIBIR) and as Chair of the Fellows Committee of the IEEE EMBS (2017).