Institute News

Organized as digital online event, we are opening the doors and inviting kids and their parents to join a virtual tour of our MRI Center at Fraunhofer MEVIS on Sunday, October 3rd. MEVIS joins the initiative „Maus Türöffner-Tag” by the WDR „Die Sendung mit der Maus” opening doors all over Germany to discover exciting and interesting facts and sites.

During her residency at Fraunhofer MEVIS, media artist Eli Joteva created a remarkable installation: To obtain the material for her digital artwork, the Bulgarian lay down in an MRI scanner for hours. The result: a digital installation called “IntraBeing.“ It shows oversized organs and highly complex webs of nerves that move meditatively and mysteriously right before the viewer's eyes.

The cross-sectoral project, ‘The Tides Within Us’ received an Honorary Mention at the STARTS Prize 2021

Fraunhofer MEVIS is well represented at the Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM) virtually held from May 15 to 20, 2021.

On Thursday, May 6, 2021, the virtual kick-off meeting took place for the BMDeep project, which is funded by the German Federal Ministry of Education and Research (BMBF) for three years as part of the Computational Life Sciences initiative.

The headquarters of Fraunhofer MEVIS has moved to its new institute building on the campus of the University of Bremen.

Fraunhofer MEVIS is among the winning teams of the call for Ideas & Innovation of the InnoHealth USA 2021 campaign.

The STEAM Imaging III Course was recently evaluated by Dr. Claudia Schnugg, a curator and producer of art and science collaboration and a researcher in the intersections of art and aesthetics with science, technology, and business.

A new consortium of the EU Innovative Medicines Initiative (IMI) will establish the biggest database of pathology images to accelerate the development of AI in medicine.

The Institute's expertise in digital medicine and the MR-Lab research has enabled Marshmallow Laser Feast (MLF) to work with medical data at the bleeding edge of capturing techniques.

The December issue of Science Advances contains the article “Breaking Medical Data Sharing Boundaries by Employing Synthesized Radiographs” by Tianyu Han from RWTH Aachen.

Prof. Dr. med. Fabian Kiessling is for the second time in a row in the list of highly cited researchers in the “Cross-Cield” category.

For the first time, the annual meeting of the Radiological Society of North America (RSNA) goes purely virtual and Fraunhofer MEVIS presents itself with a virtual booth at the RSNA 2020 conference and exhibition.

We are beginning our online STEAM course ‘Inside Out: 10 STEAM Evenings’ – an interdisciplinary exploration of digital medicine and the human body as part of the artist residency STEAM Imaging, jointly hosted with Ars Electronica in Linz, Austria, in collaboration with the International Fraunhofer Talent School and the School Center Walle Bremen, and UCLA ArtSci Center, Los Angeles, USA.

Marshmallow Laser Feast, one of the leading virtual reality creators in recent years, and Fraunhofer MEVIS as scientific partner cooperate on the installation The Tides Within Us, the initial part of the Human Nature exhibit at York Mediale 2020.

Fraunhofer MEVIS is presenting two short films at the three day & night event Bright Festival Connect taking place from October 23 to 25 in the Kunstkraftwerk in Leipzig.

August 2020 marked the 25th anniversary of the founding of the research center MEVIS at the University of Bremen. From this, today's Fraunhofer Institute for Digital Medicine MEVIS developed with over 120 employees at the locations Bremen, Lübeck, Berlin and Aachen.

The Executive Board of the Fraunhofer-Gesellschaft has appointed two long-standing colleagues as deputy institute directors of Fraunhofer MEVIS.

Fraunhofer MEVIS is well represented at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) held from October 4 to 8, 2020.

On Friday, September 25, the official start of the large-scale project EMPAIA takes place. The aim of the project is to establish a platform for AI-supported applications in image-based medical diagnostics.