Elisabeth Pfaehler

Dr. Elisabeth Pfaehler is a Researcher at the Institute of Neuroscience and Medicine (INM-4) at the Research Center Jülich. Her work focuses on advancing PET radiomics, medical imaging algorithms, and machine learning applications in healthcare. She leads efforts in improving diagnostic accuracy and treatment prediction through quantitative imaging biomarkers, particularly in oncology and neurology. Key contributions include:

• Development of the METhodological RadiomICs Score (METRICS) for radiomics reproducibility.
• Optimization of PET image reconstruction and segmentation techniques for bulky tumors.
• Creation of open-source tools like RaCaT (Radiomics Calculator Tool) and SMART PET simulation software.

Her research emphasizes interdisciplinary collaboration, with studies involving phantom testing, multicenter trials, and AI-driven image quality control. Current work addresses noise sensitivity in radiomics, uncertainty estimation, and translational applications in clinical settings.