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Florian Knoll is a professor at Friedrich-Alexander-University Erlangen-Nuremberg, where he leads the Computational Imaging Lab. His research focuses on the development and application of machine learning methods in medical imaging, particularly aimed at translating these advancements into clinical practice to assist patients on a daily basis. Knoll's specific interests lie in data acquisition and image reconstruction methods to enhance magnetic resonance imaging (MRI), making it faster and more robust against artifacts, while also facilitating the imaging of new anatomical and pathological processes. Furthermore, his work aims to standardize image interpretation and develop quantitative biomarkers for disease processes, thereby increasing global accessibility to imaging technologies. Knoll has held roles as a scientific lead in significant initiatives including the fastMRI data sharing initiative and the associated image reconstruction challenge. His research group has been funded by various grants from the NIH, including projects focused on machine learning for MRI image reconstruction and quantitative MR fingerprinting. Knoll is an advocate for reproducible research in imaging and has served as the outgoing chair of the ISMRM reproducible research study group.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).