Fraunhofer MEVIS develops real-world software solutions for computer-aided medicine, bridging between medical imaging, image-guided therapy, and healthcare informatics – bringing benefits to patients, customers and partners.
SAFIR supports the whole interventional workflow from planning to assessment utilizing segmentation, registration, simulation, optimization and visualization methodology. To facilitate fast deployment of new applications targeted at specific clinical questions or scientific projects, SAFIR is designed as a modular framework, which allows for re-using information processing methods and customization of algorithms.
CaFuR enables cardiac diagnosis with real-time MRI. It consists of an accelerated MRI acquisition and a complete software solution for automated analysis.
For the ninth time, partners from science and industry discuss hot topics in medical technology at the Lübeck Summer Academy (LSA) on June 24, 2020. This year, regulatory affairs for medical devices, artificial intelligence (AI) and deep learning (DL), and cybersecurity are in the focus of the meeting. Due to the coronavirus pandemic LSA 2020 is held online.
Prof. Ron Kikinis, the former director of the Fraunhofer Institute for Digital Medicine MEVIS in Bremen, has accepted a renowned appointment at Harvard Medical School in the United States. Since March 1, 2020, Prof. Horst Hahn has been the sole director of the Institute – for the prior six years, both had acted in dual leadership roles. Kikinis has assumed the B. Leonard Holman Endowed Professor of Radiology at Harvard Medical School. This endowed chair is one of the highest academic distinctions at the prestigious Medical School and is only awarded to researchers who are worldwide leaders in their field.
AI in Radiology: Prof. Hahn gives Opening Lecture at German Radiology Congress
Fraunhofer MEVIS institute director Prof. Horst Hahn gives the opening lecture on “How artificial intelligence is changing radiology” at the opening event of the 101st German Radiology Congress, followed by a discussion round.
Fraunhofer Institute for Digital Medicine MEVIS