Katharina Breininger
Papers
1
Total Citations
3
H-Index
1
About
Dr. Katharina Breininger is a leading researcher at the intersection of medical image analysis, machine learning, and computer-assisted interventions. Her work is fundamentally reshaping how artificial intelligence can be integrated into clinical workflows, with a particular focus on endovascular interventions and surgical data science. A key contribution is her pioneering work on learning-based autonomous navigation for endovascular procedures, where she has developed benchmark environments and simulation frameworks that address critical challenges such as reducing radiation exposure for physicians and mitigating the potential scarcity of skilled interventionalists. Her research has already garnered significant attention, with her most cited paper on autonomous navigation accumulating 3 citations shortly after publication in 2025, signaling its immediate impact on the field. Dr. Breininger is also recognized for her contributions to MICCAI, the premier conference in medical image computing, where she has served in leadership roles. Her work stands at the forefront of translating complex AI algorithms into tangible robotic assistance systems that promise to make life-saving endovascular treatments safer, more accessible, and more consistent for patients worldwide.
Research Focus
Key Achievements
Top Papers
- 1