Vincenzo Positano obtained his MSc degree in Electronic Engineering in 1992 at the University of Pisa. Since 2009 he has worked as a Senior Scientist at the Bioengineering Unit of the Fondazione G Monasterio in Pisa. His research activity is mainly focused on multimodal cardiovascular image analysis, also by using machine learning tools. Since 2003 he has been an Adjunct Professor at the Faculty of Biomedical Engineering of Pisa University, holding the course of Medical Image Analysis. He has served as supervisor for more than 50 Master Theses and seven PhD theses.
In the last ten years, he took part in the MIOT/EMIOT project (Extended Myocardial Iron Overload in Thalassemia) as a member of the operating committee and developer of the HIPPO MIOT software used in the study. He was the Principal Investigator of the VIVIR project (Virtual and Augmented Reality Support for Transcatheter Valve Implantation by using Cardiovascular MRI) and participated in several funded projects.
Vincenzo Positano is the author of more than 200 peer-reviewed journal papers spanning from basic to clinical-oriented image analysis problems mainly focused on the cardiovascular district, with an h-index of 42 as measured on the Scopus database.
He was included in the World's Top 2% Scientists list.
Vincenzo Positano obtained his MSc degree in Electronic Engineering in 1992 at the University of Pisa. Since 2009 he has worked as a Senior Scientist at the Bioengineering Unit of the Fondazione G Monasterio in Pisa. His research activity is mainly focused on multimodal cardiovascular image analysis, also by using machine learning tools. Since 2003 he has been an Adjunct Professor at the Faculty of Biomedical Engineering of Pisa University, holding the course of Medical Image Analysis. He has served as supervisor for more than 50 Master Theses and seven PhD theses.
In the last ten years, he took part in the MIOT/EMIOT project (Extended Myocardial Iron Overload in Thalassemia) as a member of the operating committee and developer of the HIPPO MIOT software used in the study. He was the Principal Investigator of the VIVIR project (Virtual and Augmented Reality Support for Transcatheter Valve Implantation by using Cardiovascular MRI) and participated in several funded projects.
Vincenzo Positano is the author of more than 200 peer-reviewed journal papers spanning from basic to clinical-oriented image analysis problems mainly focused on the cardiovascular district, with an h-index of 42 as measured on the Scopus database.
He was included in the World's Top 2% Scientists list.