Vanessa Fröhlich

Vanessa Fröhlich is a Researcher at the Competence Center for Preclinical Imaging and Medical Technology within the Faculty of Health, specializing in advanced medical imaging techniques. Her work bridges preclinical radiation research, molecular imaging, and artificial intelligence applications in radiology.

Education:

• Master's degree in MedTech (approved February 5, 2016)
• Bachelor's degree in radiology technology (approved July 11, 2013)

Her research focuses on high-field magnetic resonance imaging (15.2T) for cancer studies, with emphasis on geometric distortion correction in preclinical settings and AI-driven image analysis. Key areas include neoplasm imaging, blood-brain barrier studies, and molecular imaging techniques for breast cancer subtypes. She develops open-source computational pipelines to enhance multimodal data processing in radiation research.

Recent publications (2024-2025) demonstrate a strong trend toward open-source tool development for preclinical imaging and AI validation in mammography. Her work addresses critical challenges in high-field MRI distortion correction while advancing quantitative analysis methods for radiation therapy applications.

Fröhlich actively participates in major research initiatives including the PAIR project (2022-2026) and Applied Molecular Imaging project (2021-2026), collaborating with interdisciplinary teams on molecular imaging technologies and preclinical radiation methodologies. These projects provide critical infrastructure for her computational imaging research.

As a core member of the Competence Center for Preclinical Imaging and Medical Technology, she contributes to cutting-edge research on preclinical imaging platforms, working with teams focused on translating advanced imaging techniques to clinical applications in oncology and neurology.