Markus Kowarschik
Siemens (Germany), Siemens Healthcare (United States), Siemens Healthineers (Germany)
Papers
4
Total Citations
46
H-Index
4
About
Markus Kowarschik is a researcher working at the intersection of medical imaging, interventional radiology, and artificial intelligence, with a particular focus on advancing technologies for minimally invasive vascular procedures. His early contributions explored the challenges of flat detector CT perfusion imaging, developing denoising and artifact reduction techniques for C-arm angiography systems to enable dynamic tissue perfusion measurement during stroke interventions — work that has garnered 18 citations and demonstrated real clinical utility. More recently, Kowarschik has turned his attention to robotic-assisted endovascular procedures, championing the integration of machine learning and embodied intelligence to overcome longstanding limitations such as operator fatigue, radiation exposure, and the demand for extreme precision. His 2025 work on Sim2Real learning with domain randomization for autonomous guidewire navigation represents a significant step toward clinically deployable intelligent robotic systems, already accumulating 14 citations shortly after publication. Complementing this, his systematic review of AI solutions for endovascular robotics provides the field with a comprehensive analytical foundation. Through anatomical landmark embedding pipelines and broad AI-driven frameworks, Kowarschik continues shaping a future where robotic intelligence meaningfully assists physicians in life-saving vascular interventions.
Research Focus
Key Achievements
Top Papers
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