Adam Espe Hansen

Adam Espe Hansen is a Clinical Professor at the University of Copenhagen's Faculty of Health and Medical Sciences with dual appointments at both the University and the Capital Region of Denmark. He serves in the Department of Clinical Medicine and Department of Radiology at Rigshospitalet (Copenhagen University Hospital). His work bridges academic research and clinical practice in medical imaging.

Hansen's research focuses on advanced medical imaging techniques, particularly in magnetic resonance imaging (MRI) and its clinical applications. His work spans multiple domains including neuroimaging, cardiac imaging, and AI integration in radiology. He actively develops and explores the clinical benefits of advanced medical imaging methods and image analysis, with particular emphasis on improving diagnostic accuracy and patient outcomes.

Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with medical imaging, particularly in optimizing MRI protocols and developing new assessment methods. His work spans neuroimaging (brain MRI, stroke assessment), cardiac imaging (MR elastography), and oncological applications (glioblastoma assessment). A significant portion of his research focuses on improving clinical translation of advanced imaging techniques.

• Joint center manager of DEPICT: AI and Medical Image Analysis at Rigshospitalet
• Member of the board of the Danish Society for Medical Magnetic Resonance
• Member of the board of the National Elsass MR scanner at Mary Elizabeths Hospital

Hansen collaborates with industry partners including Siemens Healthineers, GE Healthcare, DataFair and Cerebriu. His research is funded by Rigshospitalets Research Fund (grants E-23830-01, E-24086-02, E-24086-03), the Danish Cancer Society (R295-A16770), 'Fondsbørsvekselerer Henry Hansen og Hustru Karla Hansens Legat' (16163015), and Marie Skłodowska-Curie Innovative Training Networks 2020 (764458 - HYBRID).

His laboratory work centers around DEPICT (AI and Medical Image Analysis) at Rigshospitalet, where he co-manages research initiatives focused on developing and implementing AI-driven solutions in medical imaging. The team works on protocol optimization, image analysis algorithms, and clinical validation of new imaging techniques across multiple medical specialties.