Institute News

Fraunhofer MEVIS is partner in Bremen’s first Leibniz ScienceCampus on digital public health.

Ron Kikinis – Professor of Radiology at Harvard Medical School, Professor of Medical Image Computing at University Bremen, and Director of Fraunhofer MEVIS – has been selected as a recipient of the 2019 A. Clifford Barger Excellence in Mentoring Award at Harvard Medical School (HMS).

The third meeting of the artificial intelligence cluster BREMEN.AI will take place this evening in the premises of Fraunhofer MEVIS and in the labs of the Institute for Artificial Intelligence at the University Bremen.

The second year in a row, the work of Fraunhofer MEVIS was recognized by the scientific documentary industry at the Raw Science Film Festival held on January 26 in Los Angeles, CA.

Exactly 10 years after joining the Fraunhofer-Gesellschaft, on 1 January 2019, the former Fraunhofer Institute for Medical Image Computing MEVIS changes its official name to Fraunhofer Institute for Digital Medicine MEVIS.

After a two-year planning phase, the construction of the new institute building for Fraunhofer MEVIS began on the campus of the University of Bremen in early September.

We are opening the doors and inviting kids and their parents to visit our MRI Center at Fraunhofer MEVIS on Wednesday, 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.

Fraunhofer MEVIS presents a new short movie in cooperation with Media Art Nexus at Nanyang Technological University, Singapore.

Fraunhofer MEVIS hosted a Science Night under the motto "Systems Biology Meets Digital Medicine" on its premises yesterday evening.

How can we use the potential of scientific expertise and artistic creativity to make STEM-topics accessible with fun? In the field of medical technology, we are accustomed to working across disciplines. With our web-based interactive STEAM-application "Inside Insight" we teach now in a two-and-a-half hour online workshop methods of medical image processing for 12 to 14 year old students.