Artificial intelligence and computer-aided support for diagnosis and therapy in digital medicine—these are the topics Fraunhofer MEVIS is presenting at the International Society for Optics and Photonics (SPIE) Medical Imaging conference, which is held in San Diego, California, from February 18 to 22. This year, the Fraunhofer Institute for Digital Medicine MEVIS is again well represented at the renowned conference with numerous scientific and educational contributions.

On February 18, Fraunhofer MEVIS scientists Markus Wenzel, Hans Meine, and Felix Thielke will conduct a full-day course on Transformers: A powerful tool for Medical Image Analysis and Generation. The workshop is aimed at students, researchers, and engineers from academia and industry who are familiar with deep learning architectures such as CNNs and LSTMs and want to expand and deepen their knowledge of modern architectures.

Institute Director Horst Hahn will join forces with Karen Drukker from University of Chicago Medicine and Lubomir M. Hadjiiski from Michigan Medicine to chair the Live Demonstrations Workshop on February 20. The workshop provides a forum for innovators to showcase their creations through live system demonstrations and software presentations. The primary objectives are to inspire research, offer valuable feedback to participants, foster new collaborations, and facilitate learning in the realm of medical imaging.

On February 21, Hans Meine will take part as panelist in a discussion on Exploring Careers in Medical Imaging. Moderated by Bob Nishikawa, Director of the Imaging Research Laboratory at the University of Pittsburgh, this panel discussion will help students and those in their early careers to explore potential career paths in the world of medical imaging. It offers an opportunity for live audience engagement and will lead directly into a career networking social event.

In addition, Fraunhofer MEVIS will contribute with the following scientific presentations at SPIE Medical Imaging 2024:

Oral Presentations

• Towards TotalSegmentator for MRI data leveraging GIN data augmentation, Kai Geißler, February 19, 11:50 am PST, Town & Country B
• Towards optimal camera positioning for navigated surgery applications based on RGBD data, Tom Lucas Koller, February 19, 5:10 pm PST, Pacific C

Posters

• Deformable current-prior registration of DCE breast MR images on multi-site data, Kai Geißler, February 19, 5:30 pm PST, Pacific A
• Learning 3D aortic root assessment based on sparse annotations, Johanna Brosig, February 19, 5:30 pm PST, Pacific A