Workshop
Workshop RAMI @ICRA 2025
3rd Workshop on Robot-Assisted Medical Imaging
23.05.2025
9:00 am - 1:30 pm
Atlanta,USA
Medical imaging plays a vital role in modern clinical practice, which provides valuable information to physicians for medical diagnosis, image-guided surgeries, etc. The use of a robot acquires images and enables the controlled trajectory of the imaging system with high precision and reproducibility. Due to the boom of machine learning, the development of autonomous imaging systems gained increasing attention recently. To develop intelligent systems that robustly work in unknown environments, fundamental research continues to emerge, investigating novel approaches of visual seroving, share-control, object segmentation, scene understanding, and learning from experts' experiences.
The aim of this workshop is to bring together active research groups and clinicians, sharing the latest technological achievements in the field of robot-assisted medical imaging. By gathering world-class technical and clinical researchers, the meaningful discussion on the remaining challenges beyond technical developments like ethical issues and clinical acceptance will also be discussed during the one-day workshop.
The workshop is co-organized by MCML PI Nassir Navab and Junior Members Dianye Huang and Yuan Bi.
The application deadline is 12 April 2025.
Related
Workshop • 05.10.2026 - 09.10.2026 • Richard-Wagner-Straße 10, 80333 Munich
MCML Workshop on Reproducibility and Scientific Computing
MCML hosts a five-day workshop on computational reproducibility, scientific computing, HPC, and coding agents for reproducible research.
Career Fair • 29.10.2026 • TranslaTUM, Klinikum rechts der Isar
Munich Career Fair AI & Data Science 2026
Second Munich Career Fair AI & Data Science at TranslaTUM on October 29, 2026, with 13 industry partners. Co-organized by MCML.
Conference • 05.11.2026 - 07.11.2026 • LMU Munich
ACM Conference EAAMO 2026
MCML sponsors ACM EAAMO 2026, bringing together researchers across AI, economics, optimization, and social sciences to advance equitable technology.