Flemming Littrup Andersen

Flemming Littrup Andersen serves as a Clinical Professor within the Department of Clinical Medicine, specifically in the Clinical Physiology and Nuclear Medicine division at the University of Copenhagen's Faculty of Health and Medical Sciences. His work is based at Copenhagen University Hospital (Region Hovedstaden) at Blegdamsvej 3 in Copenhagen.

Dr. Andersen's research focuses on the intersection of nuclear medicine, artificial intelligence, and advanced imaging technologies. His expertise spans PET/CT imaging, cerebral blood flow analysis, pediatric nuclear medicine applications, and the development of AI algorithms for medical image processing. He has made significant contributions to long axial field-of-view PET/CT technology, which represents a major advancement in nuclear medicine imaging capabilities.

Analysis of his recent publications reveals a strong emphasis on applying deep learning techniques to solve clinical challenges in nuclear medicine. His work demonstrates expertise in both the theoretical aspects of image processing algorithms and their practical clinical implementation. A notable trend is his focus on improving pediatric imaging protocols while reducing radiation exposure, alongside developing quantitative methods for cerebral blood flow measurement and tumor assessment.

Dr. Andersen collaborates extensively with researchers across multiple institutions, particularly with colleagues at Copenhagen University Hospital and the University of Copenhagen. His work appears in high-impact journals including Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, and Acta Oncologica, reflecting the clinical relevance and methodological rigor of his research.

His research group appears to specialize in developing and validating novel imaging biomarkers, with particular attention to AI-driven approaches that can be translated into clinical practice. The team works at the forefront of long axial field-of-view PET/CT technology, exploring its applications across multiple clinical domains from oncology to neurology.